diff --git a/.lintr b/.lintr
index f04ed34c6..0daab4746 100644
--- a/.lintr
+++ b/.lintr
@@ -3,8 +3,7 @@ linters: linters_with_defaults(
     # the following setup changes/removes certain linters
     assignment_linter = NULL, # do not force using <- for assignments
     object_name_linter = object_name_linter(c("snake_case", "CamelCase")), # only allow snake case and camel case object names
-    cyclocomp_linter = NULL, # do not check function complexity
     commented_code_linter = NULL, # allow code in comments
-    line_length_linter = line_length_linter(180L)
+    line_length_linter = line_length_linter(180L),
+    indentation_linter = indentation_linter(indent = 2, hanging_indent_style = "never")
     )
-
diff --git a/DESCRIPTION b/DESCRIPTION
index ebd01913c..5e3ac6475 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -102,6 +102,10 @@ Suggests:
     htmlwidgets,
     ranger,
     themis
+Remotes:
+    mlr-org/mlr3misc@common_baseclass,
+    mlr-org/mlr3learners@common_baseclass,
+    mlr-org/mlr3@common_baseclass
 ByteCompile: true
 Encoding: UTF-8
 Config/testthat/edition: 3
diff --git a/R/GraphLearner.R b/R/GraphLearner.R
index 0fa72cad6..2bf9702a4 100644
--- a/R/GraphLearner.R
+++ b/R/GraphLearner.R
@@ -31,6 +31,7 @@
 #'   Identifier of the resulting [`Learner`][mlr3::Learner].
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings . Default `list()`.
+#'   Deprecated, will be removed in the future.
 #' * `task_type` :: `character(1)`\cr
 #'   What `task_type` the `GraphLearner` should have; usually automatically inferred for [`Graph`]s that are simple enough.
 #' * `predict_type` :: `character(1)`\cr
@@ -180,11 +181,14 @@
 GraphLearner = R6Class("GraphLearner", inherit = Learner,
   public = list(
     impute_selected_features = FALSE,
-    initialize = function(graph, id = NULL, param_vals = list(), task_type = NULL, predict_type = NULL, clone_graph = TRUE) {
+    initialize = function(graph, id = NULL, task_type = NULL, predict_type = NULL, clone_graph = TRUE) {
       graph = as_graph(graph, clone = assert_flag(clone_graph))
       graph$state = NULL
 
       id = assert_string(id, null.ok = TRUE) %??% paste(graph$ids(sorted = TRUE), collapse = ".")
+      if (".has_id" %in% names(private)) {
+        private$.has_id = TRUE
+      }
       self$id = id  # init early so 'base_learner()' can use it in error messages
       private$.graph = graph
 
@@ -217,17 +221,15 @@ GraphLearner = R6Class("GraphLearner", inherit = Learner,
       )
 
       super$initialize(id = id, task_type = task_type,
+        param_set = alist(private$.graph$param_set),
         feature_types = mlr_reflections$task_feature_types,
         predict_types = names(mlr_reflections$learner_predict_types[[task_type]]),
         packages = graph$packages,
-        properties = properties,
-        man = "mlr3pipelines::GraphLearner"
+        properties = properties
       )
 
-      if (length(param_vals)) {
-        private$.graph$param_set$values = insert_named(private$.graph$param_set$values, param_vals)
-      }
       if (!is.null(predict_type)) self$predict_type = predict_type
+
     },
     base_learner = function(recursive = Inf, return_po = FALSE, return_all = FALSE, resolve_branching = TRUE) {
       assert(check_numeric(recursive, lower = Inf), check_int(recursive))
@@ -393,12 +395,6 @@ GraphLearner = R6Class("GraphLearner", inherit = Learner,
       }
       private$.graph$edges
     },
-    param_set = function(rhs) {
-      if (!missing(rhs) && !identical(rhs, self$graph$param_set)) {
-        stop("param_set is read-only.")
-      }
-      self$graph$param_set
-    },
     pipeops_param_set = function(rhs) {
       value = map(self$graph$pipeops, "param_set")
       if (!missing(rhs) && !identical(value, rhs)) {
@@ -434,16 +430,6 @@ GraphLearner = R6Class("GraphLearner", inherit = Learner,
       if (!length(ivs)) return(named_list())
       ivs
     },
-    deep_clone = function(name, value) {
-      # FIXME this repairs the mlr3::Learner deep_clone() method which is broken.
-      if (is.environment(value) && !is.null(value[[".__enclos_env__"]])) {
-        return(value$clone(deep = TRUE))
-      }
-      if (name == "state") {
-        value$log = copy(value$log)
-      }
-      value
-    },
 
     .train = function(task) {
       if (!is.null(get0("validate", self))) {
@@ -604,7 +590,6 @@ as_learner.PipeOp = function(x, clone = FALSE, ...) {
   as_learner(as_graph(x, clone = FALSE, ...), clone = clone)
 }
 
-
 infer_task_type = function(graph) {
   output = graph$output
   # check the high level input and output
diff --git a/R/LearnerAvg.R b/R/LearnerAvg.R
index dccd6da60..1e3eb1041 100644
--- a/R/LearnerAvg.R
+++ b/R/LearnerAvg.R
@@ -72,8 +72,7 @@ LearnerClassifAvg = R6Class("LearnerClassifAvg", inherit = LearnerClassif,
         param_set = ps,
         predict_types = c("response", "prob"),
         feature_types = c("integer", "numeric", "factor"),
-        properties = c("twoclass", "multiclass"),
-        man = "mlr3pipelines::LearnerClassifAvg"
+        properties = c("twoclass", "multiclass")
       )
     },
     prepare_data = function(task) {
@@ -145,8 +144,7 @@ LearnerRegrAvg = R6Class("LearnerRegrAvg", inherit = LearnerRegr,
         id = id,
         param_set = ps,
         predict_types = "response",
-        feature_types = c("integer", "numeric"),
-        man = "mlr3pipelines::LearnerRegrAvg"
+        feature_types = c("integer", "numeric")
       )
     },
     prepare_data = function(task) {
diff --git a/R/PipeOp.R b/R/PipeOp.R
index 8cbc111ab..a3ea26011 100644
--- a/R/PipeOp.R
+++ b/R/PipeOp.R
@@ -42,6 +42,7 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object. See `$id` slot.
+#'   Deprecated, will be removed in the future.
 #' * `param_set` :: [`ParamSet`][paradox::ParamSet] | `list` of `expression`\cr
 #'   Parameter space description. This should be created by the subclass and given to `super$initialize()`.
 #'   If this is a [`ParamSet`][paradox::ParamSet], it is used as the `PipeOp`'s [`ParamSet`][paradox::ParamSet]
@@ -50,6 +51,7 @@
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings given in `param_set`. The
 #'   subclass should have its own `param_vals` parameter and pass it on to `super$initialize()`. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #' * `input` :: [`data.table`][data.table::data.table] with columns `name` (`character`), `train` (`character`), `predict` (`character`)\cr
 #'   Sets the `$input` slot of the resulting object; see description there.
 #' * `output` :: [`data.table`][data.table::data.table] with columns `name` (`character`), `train` (`character`), `predict` (`character`)\cr
@@ -249,30 +251,52 @@
 #' @template seealso_pipeopslist
 #' @export
 PipeOp = R6Class("PipeOp",
+  inherit = Mlr3Component,
   public = list(
-    packages = NULL,
     state = NULL,
     input = NULL,
     output = NULL,
     .result = NULL,
     tags = NULL,
-    properties = NULL,
 
-    initialize = function(id, param_set = ps(), param_vals = list(), input, output, packages = character(0), tags = "abstract", properties = character(0)) {
-      if (inherits(param_set, "ParamSet")) {
-        private$.param_set = assert_param_set(param_set)
-        private$.param_set_source = NULL
-      } else {
-        lapply(param_set, function(x) assert_param_set(eval(x)))
-        private$.param_set_source = param_set
+    initialize = function(id, param_set = ps(), param_vals = list(), input, output, packages = character(0), tags = "abstract", properties = character(0), dict_entry = id) {
+
+
+      ## ------ deprecating id and param_vals
+      sc = sys.calls()
+      found = 0
+      # exclude the last (i.e., current) and second-tolast frame, these are PipeOp$new() directly.
+      for (i in rev(seq_along(sc))[-c(1, 2)]) {
+        if (identical(sc[[i]], quote(initialize(...)))) {
+          found = i
+          break
+        }
       }
-      self$id = assert_string(id, min.chars = 1)
+      if (found > 0) {
+        sf = sys.frames()[[found - 1]]
+        if (identical(class(self), sf$classes)) {
+          newcall = match.call(sys.function(found), sc[[found]], envir = sf)
+          passes_param_vals = !is.null(newcall$param_vals)
+          dots = (function(...) evalq(list(...), envir = sf))()  # function(...) is here to pacify R CMD check static checks
+          unnamed_dots = dots[is.na(names2(dots))]
+          passes_id = length(unnamed_dots) && !is.null(newcall$id) && identical(newcall$id, unnamed_dots[[1]])
+          if (passes_param_vals || passes_id) {
+            mlr3component_deprecation_msg("passing param_vals, and unnamed id, for PipeOp construction directly is deprecated and will be removed in the future.
+Use the po()-syntax to set these, instead:
+po(\"pipeop\", \"newid\", param_vals = list(a = 1)) --> po(\"pipeop\", id = \"newid\", a = 1)")
+          }
+        }
+      }
+      ## ------
+
+      super$initialize(id = id, dict_entry = dict_entry, dict_shortaccess = "po",
+        param_set = param_set, packages = packages, properties = properties
+      )
 
-      self$properties = assert_subset(properties, mlr_reflections$pipeops$properties)
+      assert_subset(properties, mlr_reflections$pipeops$properties)
       self$param_set$values = insert_named(self$param_set$values, param_vals)
       self$input = assert_connection_table(input)
       self$output = assert_connection_table(output)
-      self$packages = union("mlr3pipelines", assert_character(packages, any.missing = FALSE, min.chars = 1L))
       self$tags = assert_subset(tags, mlr_reflections$pipeops$valid_tags)
     },
 
@@ -377,111 +401,21 @@ PipeOp = R6Class("PipeOp",
   ),
 
   active = list(
-    id = function(val) {
-      if (!missing(val)) {
-        private$.id = val
-      }
-      private$.id
-    },
-    param_set = function(val) {
-      if (is.null(private$.param_set)) {
-        sourcelist = lapply(private$.param_set_source, function(x) eval(x))
-        if (length(sourcelist) > 1) {
-          private$.param_set = ParamSetCollection$new(sourcelist)
-        } else {
-          private$.param_set = sourcelist[[1]]
-        }
-      }
-      if (!missing(val) && !identical(val, private$.param_set)) {
-        stop("param_set is read-only.")
-      }
-      private$.param_set
-    },
     predict_type = function(val) {
       if (!missing(val)) {
         stop("$predict_type is read-only.")
       }
-      return(NULL)
+      NULL
     },
     innum = function() nrow(self$input),
     outnum = function() nrow(self$output),
-    is_trained = function() !is.null(self$state),
-    hash = function() {
-      digest(list(class(self), self$id, lapply(self$param_set$values, function(val) {
-        # ideally we would just want to hash `param_set$values`, but one of the values
-        # could be an R6 object with a `$hash` slot as well, in which case we take that
-        # slot's value. This is to avoid different hashes from essentially the same
-        # objects.
-        # In the following we also avoid accessing `val$hash` twice, because it could
-        # potentially be an expensive AB.
-        if (is.environment(val) && !is.null({vhash = get0("hash", val, mode = "any", inherits = FALSE, ifnotfound = NULL)})) {
-          vhash
-        } else {
-          val
-        }
-      }), private$.additional_phash_input()), algo = "xxhash64")
-    },
-    phash = function() {
-      digest(list(class(self), self$id, private$.additional_phash_input()), algo = "xxhash64")
-    },
-    man = function(x) {
-      if (!missing(x)) stop("man is read-only")
-      paste0(topenv(self$.__enclos_env__)$.__NAMESPACE__.$spec[["name"]], "::", class(self)[[1]])
-    },
-    label = function(x) {
-      if (!missing(x)) stop("label is read-only")
-      if (is.null(private$.label)) {
-        helpinfo = self$help()
-        helpcontent = NULL
-        if (inherits(helpinfo, "help_files_with_topic") && length(helpinfo)) {
-          ghf = get(".getHelpFile", mode = "function", envir = getNamespace("utils"))
-          helpcontent = ghf(helpinfo)
-        } else if (inherits(helpinfo, "dev_topic")) {
-          helpcontent = tools::parse_Rd(helpinfo$path)
-        }
-        if (is.null(helpcontent)) {
-          private$.label = "LABEL COULD NOT BE RETRIEVED"
-        } else {
-          private$.label = Filter(function(x) identical(attr(x, "Rd_tag"), "\\title"), helpcontent)[[1]][[1]][1]
-        }
-      }
-      private$.label
-    }
+    is_trained = function() !is.null(self$state)
   ),
 
   private = list(
     .state_class = NULL,
-    deep_clone = function(name, value) {
-      if (!is.null(private$.param_set_source)) {
-        private$.param_set = NULL  # required to keep clone identical to original, otherwise tests get really ugly
-        if (name == ".param_set_source") {
-          value = lapply(value, function(x) {
-            if (inherits(x, "R6")) x$clone(deep = TRUE) else x
-          })
-        }
-      }
-      if (is.environment(value) && !is.null(value[[".__enclos_env__"]])) {
-        return(value$clone(deep = TRUE))
-      }
-      value
-    },
     .train = function(input) stop("abstract"),
-    .predict = function(input) stop("abstract"),
-    .additional_phash_input = function() {
-      if (is.null(self$initialize)) return(NULL)
-      initformals <- names(formals(args(self$initialize)))
-      if (!test_subset(initformals, c("id", "param_vals"))) {
-        warningf("PipeOp %s has construction arguments besides 'id' and 'param_vals' but does not overload the private '.additional_phash_input()' function.
-
-The hash and phash of a PipeOp must differ when it represents a different operation; since %s has construction arguments that could change the operation that is performed by it, it is necessary for the $hash and $phash to reflect this. `.additional_phash_input()` should return all the information (e.g. hashes of encapsulated items) that should additionally be hashed; read the help of ?PipeOp for more information.
-
-This warning will become an error in the future.", class(self)[[1]], class(self)[[1]])
-      }
-    },
-    .param_set = NULL,
-    .param_set_source = NULL,
-    .label = NULL,
-    .id = NULL
+    .predict = function(input) stop("abstract")
   )
 )
 
@@ -511,7 +445,7 @@ check_types = function(self, data, direction, operation) {
   description = sprintf("%s of PipeOp %s's $%s()", direction, self$id, operation)
   if (direction == "input" && "..." %in% typetable$name) {
     assert_list(data, min.len = nrow(typetable) - 1, .var.name = description)
-    typetable = typetable[rep(1:.N, ifelse(get("name") == "...", length(data) - nrow(typetable) + 1, 1))]
+    typetable = typetable[rep(seq_len(.N), ifelse(get("name") == "...", length(data) - nrow(typetable) + 1, 1))]
   } else {
     assert_list(data, len = nrow(typetable), .var.name = description)
   }
diff --git a/R/PipeOpADAS.R b/R/PipeOpADAS.R
index 80da72437..414df03eb 100644
--- a/R/PipeOpADAS.R
+++ b/R/PipeOpADAS.R
@@ -19,8 +19,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"adas"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -81,7 +83,7 @@ PipeOpADAS = R6Class("PipeOpADAS",
         K = p_int(lower = 1, default = 5, tags = c("train", "adas"))
       )
       super$initialize(id, param_set = ps, param_vals = param_vals, can_subset_cols = FALSE,
-        packages = "smotefamily", task_type = "TaskClassif", tags = "imbalanced data")
+        packages = "smotefamily", task_type = "TaskClassif", tags = "imbalanced data", dict_entry = "adas")
     }
   ),
   private = list(
diff --git a/R/PipeOpBLSmote.R b/R/PipeOpBLSmote.R
index bb090820d..966254a71 100644
--- a/R/PipeOpBLSmote.R
+++ b/R/PipeOpBLSmote.R
@@ -16,8 +16,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"smote"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -93,7 +95,7 @@ PipeOpBLSmote = R6Class("PipeOpBLSmote",
       )
       ps$values = list(quiet = TRUE)
       super$initialize(id, param_set = ps, param_vals = param_vals, can_subset_cols = FALSE,
-        packages = "smotefamily", task_type = "TaskClassif", tags = "imbalanced data")
+        packages = "smotefamily", task_type = "TaskClassif", tags = "imbalanced data", dict_entry = "blsmote")
     }
   ),
   private = list(
diff --git a/R/PipeOpBoxCox.R b/R/PipeOpBoxCox.R
index 53be3a148..61b5cd812 100644
--- a/R/PipeOpBoxCox.R
+++ b/R/PipeOpBoxCox.R
@@ -17,8 +17,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"boxcox"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -77,7 +79,7 @@ PipeOpBoxCox = R6Class("PipeOpBoxCox",
         upper = p_dbl(tags = c("train", "boxcox"))
       )
       super$initialize(id, param_set = ps, param_vals = param_vals,
-        packages = "bestNormalize", feature_types = c("numeric", "integer"))
+        packages = "bestNormalize", feature_types = c("numeric", "integer"), dict_entry = "boxcox")
     }
   ),
   private = list(
diff --git a/R/PipeOpBranch.R b/R/PipeOpBranch.R
index e1930072b..35af239e4 100644
--- a/R/PipeOpBranch.R
+++ b/R/PipeOpBranch.R
@@ -25,8 +25,10 @@
 #'   The `$selection` parameter will then be factorial.
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"branch"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' `PipeOpBranch` has one input channel named `"input"`, taking any input (`"*"`) both during training and prediction.
@@ -103,7 +105,7 @@ PipeOpBranch = R6Class("PipeOpBranch",
       super$initialize(id, ps, param_vals,
         input = data.table(name = "input", train = "*", predict = "*"),
         output = data.table(name = options, train = "*", predict = "*"),
-        tags = "meta"
+        tags = "meta", dict_entry = "branch"
       )
     }
   ),
diff --git a/R/PipeOpChunk.R b/R/PipeOpChunk.R
index 023e4c1c1..0dcc5f16f 100644
--- a/R/PipeOpChunk.R
+++ b/R/PipeOpChunk.R
@@ -18,8 +18,10 @@
 #'   Number of output channels, and therefore number of chunks created.
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"chunk"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output:
 #' `PipeOpChunk` has one input channel named `"input"`, taking a [`Task`][mlr3::Task] both during training and prediction.
@@ -72,7 +74,7 @@ PipeOpChunk = R6Class("PipeOpChunk",
         param_set = ps, param_vals = param_vals,
         input = data.table(name = "input", train = "Task", predict = "Task"),
         output = data.table(name = rep_suffix("output", outnum), train = "Task", predict = "Task"),
-        tags = "meta"
+        tags = "meta", dict_entry = "chunk"
       )
     }
   ),
diff --git a/R/PipeOpClassBalancing.R b/R/PipeOpClassBalancing.R
index 458404736..e6b970fe8 100644
--- a/R/PipeOpClassBalancing.R
+++ b/R/PipeOpClassBalancing.R
@@ -18,8 +18,10 @@
 #'
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting  object, default `"classbalancing"`
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -113,7 +115,7 @@ PipeOpClassBalancing = R6Class("PipeOpClassBalancing",
         shuffle = p_lgl(tags = "train")
       )
       ps$values = list(ratio = 1, reference = "all", adjust = "all", shuffle = TRUE)
-      super$initialize(id, param_set = ps, param_vals = param_vals, can_subset_cols = FALSE, task_type = "TaskClassif", tags = "imbalanced data")
+      super$initialize(id, param_set = ps, param_vals = param_vals, can_subset_cols = FALSE, task_type = "TaskClassif", tags = "imbalanced data", dict_entry = "classbalancing")
     }
   ),
   private = list(
diff --git a/R/PipeOpClassWeights.R b/R/PipeOpClassWeights.R
index bf7588423..dcbf0a694 100644
--- a/R/PipeOpClassWeights.R
+++ b/R/PipeOpClassWeights.R
@@ -23,8 +23,10 @@
 #'
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting  object, default `"classweights"`
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -87,7 +89,7 @@ PipeOpClassWeights = R6Class("PipeOpClassWeights",
         minor_weight = p_dbl(lower = 0, upper = Inf, tags = "train")
       )
       ps$values = list(minor_weight = 1)
-      super$initialize(id, param_set = ps, param_vals = param_vals, can_subset_cols = FALSE, task_type = "TaskClassif", tags = "imbalanced data")
+      super$initialize(id, param_set = ps, param_vals = param_vals, can_subset_cols = FALSE, task_type = "TaskClassif", tags = "imbalanced data", dict_entry = "classweights")
     }
   ),
   private = list(
diff --git a/R/PipeOpClassifAvg.R b/R/PipeOpClassifAvg.R
index 6b61b8099..34b250735 100644
--- a/R/PipeOpClassifAvg.R
+++ b/R/PipeOpClassifAvg.R
@@ -34,8 +34,10 @@
 #'   Default is `FALSE`.
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting object, default `"classifavg"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpEnsemble`]. Instead of a [`Prediction`][mlr3::Prediction], a [`PredictionClassif`][mlr3::PredictionClassif]
@@ -81,7 +83,7 @@ PipeOpClassifAvg = R6Class("PipeOpClassifAvg",
   inherit = PipeOpEnsemble,
   public = list(
     initialize = function(innum = 0, collect_multiplicity = FALSE, id = "classifavg", param_vals = list()) {
-      super$initialize(innum, collect_multiplicity, id, param_vals = param_vals, prediction_type = "PredictionClassif", packages = "stats")
+      super$initialize(innum, collect_multiplicity, id, param_vals = param_vals, prediction_type = "PredictionClassif", packages = "stats", dict_entry = "classifavg")
     }
   ),
   private = list(
diff --git a/R/PipeOpColApply.R b/R/PipeOpColApply.R
index 6cac03132..c57871bdf 100644
--- a/R/PipeOpColApply.R
+++ b/R/PipeOpColApply.R
@@ -22,8 +22,10 @@
 #' ```
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"colapply"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -96,7 +98,7 @@ PipeOpColApply = R6Class("PipeOpColApply",
         applicator = p_uty(custom_check = check_function, tags = c("train", "predict"))
       )
       ps$values = list(applicator = identity)
-      super$initialize(id, ps, param_vals = param_vals)
+      super$initialize(id, ps, param_vals = param_vals, dict_entry = "colapply")
     }
   ),
   private = list(
diff --git a/R/PipeOpColRoles.R b/R/PipeOpColRoles.R
index 5b446ea4b..48c3461a2 100644
--- a/R/PipeOpColRoles.R
+++ b/R/PipeOpColRoles.R
@@ -16,9 +16,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"colroles"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -121,7 +122,7 @@ PipeOpColRoles = R6Class("PipeOpColRoles",
           })
         )
       )
-      super$initialize(id, param_set = ps, param_vals = param_vals, can_subset_cols = FALSE)
+      super$initialize(id, param_set = ps, param_vals = param_vals, can_subset_cols = FALSE, dict_entry = "colroles")
     }
   ),
   private = list(
diff --git a/R/PipeOpCollapseFactors.R b/R/PipeOpCollapseFactors.R
index c23b3c01a..e41b1608b 100644
--- a/R/PipeOpCollapseFactors.R
+++ b/R/PipeOpCollapseFactors.R
@@ -22,8 +22,10 @@
 #' ```
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"collapsefactors"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -99,7 +101,7 @@ PipeOpCollapseFactors = R6Class("PipeOpCollapseFactors",
         target_level_count = p_int(2, tags = c("train", "predict"))
       )
       ps$values = list(no_collapse_above_prevalence = 1, no_collapse_above_absolute = Inf, target_level_count = 2)
-      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("factor", "ordered"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("factor", "ordered"), dict_entry = "collapsefactors")
     }
   ),
   private = list(
diff --git a/R/PipeOpCopy.R b/R/PipeOpCopy.R
index f69a82065..64711044d 100644
--- a/R/PipeOpCopy.R
+++ b/R/PipeOpCopy.R
@@ -18,8 +18,10 @@
 #'   Number of output channels, and therefore number of copies being made.
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"copy"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' `PipeOpCopy` has one input channel named `"input"`, taking any input (`"*"`) both during training and prediction.
@@ -86,7 +88,7 @@ PipeOpCopy = R6Class("PipeOpCopy",
       super$initialize(id, param_vals = param_vals,
         input = data.table(name = "input", train = "*", predict = "*"),
         output = data.table(name = rep_suffix("output", outnum), train = "*", predict = "*"),
-        tags = "meta"
+        tags = "meta", dict_entry = "copy"
       )
     }
   ),
diff --git a/R/PipeOpDateFeatures.R b/R/PipeOpDateFeatures.R
index 4445f6f8f..d5acfdf7b 100644
--- a/R/PipeOpDateFeatures.R
+++ b/R/PipeOpDateFeatures.R
@@ -28,9 +28,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"datefeatures"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -116,7 +117,7 @@ PipeOpDateFeatures = R6Class("PipeOpDateFeatures",
       ps$values = list(keep_date_var = FALSE, cyclic = FALSE, year = TRUE,
         month = TRUE, week_of_year = TRUE, day_of_year = TRUE, day_of_month = TRUE,
         day_of_week = TRUE, hour = TRUE, minute = TRUE, second = TRUE, is_day = TRUE)
-      super$initialize(id = id, param_set = ps, param_vals = param_vals, feature_types = "POSIXct")
+      super$initialize(id = id, param_set = ps, param_vals = param_vals, feature_types = "POSIXct", dict_entry = "datefeatures")
     }
   ),
   private = list(
diff --git a/R/PipeOpDecode.R b/R/PipeOpDecode.R
index 820de585c..676ad620d 100644
--- a/R/PipeOpDecode.R
+++ b/R/PipeOpDecode.R
@@ -20,8 +20,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"decode"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -147,7 +149,7 @@ PipeOpDecode = R6Class("PipeOpDecode",
         ties_method = p_fct(c("first", "last", "random"), tags = c("train", "required"))
       )
       ps$values = list(treatment_encoding = FALSE, group_pattern = "^([^.]+)\\.", ties_method = "random")
-      super$initialize(id, param_set = ps, param_vals = param_vals, tags = "encode", feature_types = c("integer", "numeric"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, tags = "encode", feature_types = c("integer", "numeric"), dict_entry = "decode")
     }
   ),
   private = list(
diff --git a/R/PipeOpEncode.R b/R/PipeOpEncode.R
index f588ae747..2a9c62e50 100644
--- a/R/PipeOpEncode.R
+++ b/R/PipeOpEncode.R
@@ -23,8 +23,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"encode"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -100,7 +102,7 @@ PipeOpEncode = R6Class("PipeOpEncode",
         method = p_fct(levels = c("one-hot", "treatment", "helmert", "poly", "sum"), tags = c("train", "predict"))
       )
       ps$values = list(method = "one-hot")
-      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "stats", tags = "encode", feature_types = c("factor", "ordered"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "stats", tags = "encode", feature_types = c("factor", "ordered"), dict_entry = "encode")
     }
   ),
   private = list(
diff --git a/R/PipeOpEncodeImpact.R b/R/PipeOpEncodeImpact.R
index 31116d80d..49ed32070 100644
--- a/R/PipeOpEncodeImpact.R
+++ b/R/PipeOpEncodeImpact.R
@@ -23,9 +23,10 @@
 #' ```
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"encodeimpact"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would
-#'   otherwise be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -87,7 +88,7 @@ PipeOpEncodeImpact = R6Class("PipeOpEncodeImpact",
       )
       ps$values = list(smoothing = 1e-4, impute_zero = FALSE)
       super$initialize(id, param_set = ps, param_vals = param_vals, task_type = "TaskSupervised", tags = "encode",
-        feature_types = c("factor", "ordered"))
+        feature_types = c("factor", "ordered"), dict_entry = "encodeimpact")
     }
   ),
   private = list(
diff --git a/R/PipeOpEncodeLmer.R b/R/PipeOpEncodeLmer.R
index f38f15f90..552855e3a 100644
--- a/R/PipeOpEncodeLmer.R
+++ b/R/PipeOpEncodeLmer.R
@@ -37,9 +37,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"encodelmer"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would
-#'   otherwise be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -97,7 +98,7 @@ PipeOpEncodeLmer = R6Class("PipeOpEncodeLmer",
       )
       ps$values = list(fast_optim = TRUE)
       super$initialize(id, param_set = ps, param_vals = param_vals, packages = c("lme4", "nloptr"),
-        task_type = "TaskSupervised", tags = "encode", feature_types = c("factor", "ordered"))
+        task_type = "TaskSupervised", tags = "encode", feature_types = c("factor", "ordered"), dict_entry = "encodelmer")
     }
   ),
   private = list(
diff --git a/R/PipeOpEncodePL.R b/R/PipeOpEncodePL.R
index 3eef75716..15f9900fe 100644
--- a/R/PipeOpEncodePL.R
+++ b/R/PipeOpEncodePL.R
@@ -26,8 +26,9 @@
 #' * `param_set` :: [`ParamSet`][paradox::ParamSet]\cr
 #'   Parameter space description. This should be created by the subclass and given to `super$initialize()`.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings given in `param_set`. The
-#'   subclass should have its own `param_vals` parameter and pass it on to `super$initialize()`. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings given in `param_set`.
+#'   The subclass should have its own `param_vals` parameter and pass it on to `super$initialize()`. Default `list()`.
+#'   Deprecated, will be removed in the future.
 #' * `packages` :: `character`\cr
 #'   Set of all required packages for the [`PipeOp`]'s `private$.train()` and `private$.predict()` methods. See `$packages` slot.
 #'   Default is `character(0)`.
@@ -78,9 +79,9 @@
 PipeOpEncodePL = R6Class("PipeOpEncodePL",
   inherit = PipeOpTaskPreprocSimple,
   public = list(
-    initialize = function(id, param_set = ps(), param_vals = list(), packages = character(0), task_type = "Task") {
+    initialize = function(id, param_set = ps(), param_vals = list(), packages = character(0), task_type = "Task", dict_entry = id) {
       super$initialize(id = id, param_set = param_set, param_vals = param_vals, packages = packages,
-        task_type = task_type, tags = "encode", feature_types = c("numeric", "integer"))
+        task_type = task_type, tags = "encode", feature_types = c("numeric", "integer"), dict_entry = dict_entry)
     }
   ),
   private = list(
@@ -157,8 +158,10 @@ encode_piecewise_linear = function(column, bins) {
 #' ```
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"encodeplquantiles"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -228,7 +231,7 @@ PipeOpEncodePLQuantiles = R6Class("PipeOpEncodePLQuantiles",
         numsplits = p_int(lower = 2, init = 2, tags = c("train", "predict", "required")),
         type = p_int(lower = 1, upper = 9, default = 7, tags = c("train", "predict"))
       )
-      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "stats")
+      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "stats", dict_entry = "encodeplquantiles")
     }
   ),
   private = list(
@@ -271,8 +274,10 @@ mlr_pipeops$add("encodeplquantiles", PipeOpEncodePLQuantiles)
 #'   `"TaskRegr"`for [`LearnerRegrRpart`][mlr3::LearnerRegrRpart].
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"encodeplquantiles"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -360,7 +365,7 @@ PipeOpEncodePLTree = R6Class("PipeOpEncodePLTree",
       }
 
       super$initialize(id, param_set = alist(private$.tree_learner$param_set), param_vals = param_vals,
-        packages = private$.tree_learner$packages, task_type = task_type)
+        packages = private$.tree_learner$packages, task_type = task_type, dict_entry = "encodepltree")
     }
   ),
   private = list(
diff --git a/R/PipeOpEnsemble.R b/R/PipeOpEnsemble.R
index a93acdcf6..55e9a1d63 100644
--- a/R/PipeOpEnsemble.R
+++ b/R/PipeOpEnsemble.R
@@ -22,10 +22,12 @@
 #'   Default is `FALSE`.
 #' * `id` :: `character(1)`\cr
 #'   Identifier of the resulting  object.
+#'   Deprecated, will be removed in the future.
 #' * `param_set` :: [`ParamSet`][paradox::ParamSet]\cr
 #'   ("Hyper"-)Parameters in form of a [`ParamSet`][paradox::ParamSet] for the resulting [`PipeOp`].
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future.
 #' * `packages` :: `character`\cr
 #'   Set of packages required for this `PipeOp`. These packages are loaded during `$train()` and `$predict()`, but not attached.
 #'   Default `character(0)`.
@@ -82,7 +84,7 @@
 PipeOpEnsemble = R6Class("PipeOpEnsemble",
   inherit = PipeOp,
   public = list(
-    initialize = function(innum = 0, collect_multiplicity = FALSE, id, param_set = ps(), param_vals = list(), packages = character(0), prediction_type = "Prediction", tags = NULL) {
+    initialize = function(innum = 0, collect_multiplicity = FALSE, id, param_set = ps(), param_vals = list(), packages = character(0), prediction_type = "Prediction", tags = NULL, dict_entry = id) {
       assert_integerish(innum, lower = 0)
       param_set = c(param_set, ps(weights = p_uty(check_weights(innum), tags = "predict")))
       param_set$values$weights = 1
@@ -99,7 +101,7 @@ PipeOpEnsemble = R6Class("PipeOpEnsemble",
       super$initialize(id, param_set = param_set, param_vals = param_vals, packages = packages,
         input = data.table(name = inname, train = intype[[1]], predict = intype[[2]]),
         output = data.table(name = "output", train = "NULL", predict = prediction_type),
-        tags = c(tags, "ensemble")
+        tags = c(tags, "ensemble"), dict_entry = dict_entry
       )
     }
   ),
diff --git a/R/PipeOpFeatureUnion.R b/R/PipeOpFeatureUnion.R
index 79771afff..b176874b7 100644
--- a/R/PipeOpFeatureUnion.R
+++ b/R/PipeOpFeatureUnion.R
@@ -37,9 +37,10 @@
 #'   Default is `FALSE`.
 #' * `id` :: `character(1)`\cr
 #'   Identifier of the resulting object, default `"featureunion"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #' * `assert_targets_equal` :: `logical(1)`\cr
 #'   If `assert_targets_equal` is `TRUE` (Default), task target column names are checked for
 #'   agreement. Disagreeing target column names are usually a bug, so this should often be left at
@@ -127,7 +128,7 @@ PipeOpFeatureUnion = R6Class("PipeOpFeatureUnion",
       super$initialize(id, param_vals = param_vals,
         input = data.table(name = inname, train = intype, predict = intype),
         output = data.table(name = "output", train = "Task", predict = "Task"),
-        tags = "ensemble"
+        tags = "ensemble", dict_entry = "featureunion"
       )
     }
   ),
diff --git a/R/PipeOpFilter.R b/R/PipeOpFilter.R
index b5e8fd88d..701e4485e 100644
--- a/R/PipeOpFilter.R
+++ b/R/PipeOpFilter.R
@@ -22,8 +22,10 @@
 #'  This argument is always cloned; to access the [`Filter`][mlr3filters::Filter] inside `PipeOpFilter` by-reference, use `$filter`.\cr
 #' * `id` :: `character(1)`\cr
 #'   Identifier of the resulting  object, defaulting to the `id` of the [`Filter`][mlr3filters::Filter] being used.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -111,10 +113,9 @@
 PipeOpFilter = R6Class("PipeOpFilter",
   inherit = PipeOpTaskPreprocSimple,
   public = list(
-    filter = NULL,
     initialize = function(filter, id = filter$id, param_vals = list()) {
       assert_class(filter, "Filter")
-      self$filter = filter$clone(deep = TRUE)
+      private$.filter = filter$clone(deep = TRUE)
       for (pn in self$filter$param_set$ids()) {
         self$filter$param_set$tags[[pn]] = union(self$filter$param_set$tags[[pn]] , "train")
       }
@@ -124,7 +125,13 @@ PipeOpFilter = R6Class("PipeOpFilter",
         cutoff = p_dbl(tags = "train"),
         permuted = p_int(lower = 1, tags = "train")
       )
-      super$initialize(id, alist(filter = private$.outer_param_set, self$filter$param_set), param_vals = param_vals, tags = "feature selection")
+      super$initialize(id, alist(filter = private$.outer_param_set, self$filter$param_set), param_vals = param_vals, tags = "feature selection", dict_entry = "filter")
+    }
+  ),
+  active = list(
+    filter = function(rhs) {
+      if (!missing(rhs) && !identical(rhs, private$.filter)) stop("filter is read-only")
+      private$.filter
     }
   ),
   private = list(
@@ -184,7 +191,8 @@ PipeOpFilter = R6Class("PipeOpFilter",
     .transform = function(task) {
       task$select(self$state$features)
     },
-    .additional_phash_input = function() self$filter$hash
+    .additional_phash_input = function() self$filter$hash,
+    .filter = NULL
   )
 )
 
diff --git a/R/PipeOpFixFactors.R b/R/PipeOpFixFactors.R
index 495900b18..c8559405c 100644
--- a/R/PipeOpFixFactors.R
+++ b/R/PipeOpFixFactors.R
@@ -18,8 +18,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"fixfactors"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -59,7 +61,7 @@ PipeOpFixFactors = R6Class("PipeOpFixFactors",
         droplevels = p_lgl(tags = c("train", "predict"))
       )
       ps$values = list(droplevels = TRUE)
-      super$initialize(id, param_set = ps, param_vals = param_vals, tags = "robustify", feature_types = c("factor", "ordered"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, tags = "robustify", feature_types = c("factor", "ordered"), dict_entry = "fixfactors")
     }
   ),
   private = list(
diff --git a/R/PipeOpHistBin.R b/R/PipeOpHistBin.R
index 2eaefcca3..460a9339a 100644
--- a/R/PipeOpHistBin.R
+++ b/R/PipeOpHistBin.R
@@ -17,8 +17,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"histbin"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -70,7 +72,7 @@ PipeOpHistBin = R6Class("PipeOpHistBin",
       ps = ps(
         breaks = p_uty(default = "Sturges", tags = c("train", "hist"))
       )
-      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "graphics", feature_types = c("numeric", "integer"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "graphics", feature_types = c("numeric", "integer"), dict_entry = "histbin")
     }
   ),
   private = list(
diff --git a/R/PipeOpICA.R b/R/PipeOpICA.R
index c6b71a1ba..4e02f266a 100644
--- a/R/PipeOpICA.R
+++ b/R/PipeOpICA.R
@@ -15,8 +15,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"ica"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -108,7 +110,7 @@ PipeOpICA = R6Class("PipeOpICA",
       )
       ps$values = list(method = "C")
       super$initialize(id, param_set = ps, param_vals = param_vals,
-        packages = "fastICA", feature_types = c("numeric", "integer"))
+        packages = "fastICA", feature_types = c("numeric", "integer"), dict_entry = "ica")
     }
   ),
   private = list(
diff --git a/R/PipeOpImpute.R b/R/PipeOpImpute.R
index 087435ed1..c4c287831 100644
--- a/R/PipeOpImpute.R
+++ b/R/PipeOpImpute.R
@@ -14,11 +14,13 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object. See `$id` slot of [`PipeOp`].
+#'   Deprecated, will be removed in the future.
 #' * `param_set` :: [`ParamSet`][paradox::ParamSet]\cr
 #'   Parameter space description. This should be created by the subclass and given to `super$initialize()`.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings given in `param_set`. The
-#'   subclass should have its own `param_vals` parameter and pass it on to `super$initialize()`. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings given in `param_set`.
+#'   The subclass should have its own `param_vals` parameter and pass it on to `super$initialize()`. Default `list()`.
+#'   Deprecated, will be removed in the future.
 #' * `whole_task_dependent` :: `logical(1)`\cr
 #'   Whether the `context_columns` parameter should be added which lets the user limit the columns that are
 #'   used for imputation inference. This should generally be `FALSE` if imputation depends only on individual features
@@ -145,7 +147,7 @@ PipeOpImpute = R6Class("PipeOpImpute",
   public = list(
 
     initialize = function(id, param_set = ps(), param_vals = list(), whole_task_dependent = FALSE, empty_level_control = "never",
-      packages = character(0), task_type = "Task", feature_types = mlr_reflections$task_feature_types) {
+      packages = character(0), task_type = "Task", feature_types = mlr_reflections$task_feature_types, dict_entry = id) {
       # Add one or two parameters: affect_columns (always) and context_columns (if whole_task_dependent is TRUE)
       addparams = list(affect_columns = p_uty(custom_check = check_function_or_null, tags = "train"))
       if (whole_task_dependent) {
@@ -180,7 +182,7 @@ PipeOpImpute = R6Class("PipeOpImpute",
       super$initialize(id = id, param_set = param_set, param_vals = param_vals,
         input = data.table(name = "input", train = task_type, predict = task_type),
         output = data.table(name = "output", train = task_type, predict = task_type),
-        packages = packages, tags = "missings"
+        packages = packages, tags = "missings", dict_entry = dict_entry
       )
     }
 
diff --git a/R/PipeOpImputeConstant.R b/R/PipeOpImputeConstant.R
index fd47a3424..0af56d0c2 100644
--- a/R/PipeOpImputeConstant.R
+++ b/R/PipeOpImputeConstant.R
@@ -14,9 +14,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"imputeconstant"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpImpute`].
@@ -83,7 +84,7 @@ PipeOpImputeConstant = R6Class("PipeOpImputeConstant",
         check_levels = p_lgl(init = TRUE, tags = c("train", "required"))
       )
       super$initialize(id, param_set = ps, param_vals = param_vals, empty_level_control = "always",
-        feature_types = c("logical", "integer", "numeric", "character", "factor", "ordered", "POSIXct"))
+        feature_types = c("logical", "integer", "numeric", "character", "factor", "ordered", "POSIXct"), dict_entry = "imputeconstant")
     }
   ),
   private = list(
diff --git a/R/PipeOpImputeHist.R b/R/PipeOpImputeHist.R
index 389eb870f..2fcd040b6 100644
--- a/R/PipeOpImputeHist.R
+++ b/R/PipeOpImputeHist.R
@@ -21,8 +21,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"imputehist"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpImpute`].
@@ -66,7 +68,7 @@ PipeOpImputeHist = R6Class("PipeOpImputeHist",
   inherit = PipeOpImpute,
   public = list(
     initialize = function(id = "imputehist", param_vals = list()) {
-      super$initialize(id, param_vals = param_vals, packages = "graphics", feature_types = c("integer", "numeric"))
+      super$initialize(id, param_vals = param_vals, packages = "graphics", feature_types = c("integer", "numeric"), dict_entry = "imputehist")
     }
   ),
   private = list(
diff --git a/R/PipeOpImputeLearner.R b/R/PipeOpImputeLearner.R
index 50159924a..6e756ddf2 100644
--- a/R/PipeOpImputeLearner.R
+++ b/R/PipeOpImputeLearner.R
@@ -24,6 +24,7 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"impute."`, followed by the `id` of the `Learner`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `learner` :: [`Learner`][mlr3::Learner] | `character(1)`
 #'   [`Learner`][mlr3::Learner] to wrap, or a string identifying a [`Learner`][mlr3::Learner] in the [`mlr3::mlr_learners`] [`Dictionary`][mlr3misc::Dictionary].
 #'   The [`Learner`][mlr3::Learner] usually needs to be able to handle missing values, i.e. have the `missings` property, unless care is taken
@@ -31,6 +32,7 @@
 #'  This argument is always cloned; to access the [`Learner`][mlr3::Learner] inside `PipeOpImputeLearner` by-reference, use `$learner`.\cr
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpImpute`].
@@ -112,7 +114,7 @@ PipeOpImputeLearner = R6Class("PipeOpImputeLearner",
         # with generative text models, but by the time R/mlr3 can do that it is probably post-singularity.
       )
       super$initialize(id, param_set = alist(private$.learner$param_set), param_vals = param_vals,
-        whole_task_dependent = TRUE, feature_types = feature_types)
+        whole_task_dependent = TRUE, feature_types = feature_types, dict_entry = "imputelearner")
     }
   ),
   active = list(
diff --git a/R/PipeOpImputeMean.R b/R/PipeOpImputeMean.R
index 90274516a..b30481dab 100644
--- a/R/PipeOpImputeMean.R
+++ b/R/PipeOpImputeMean.R
@@ -14,8 +14,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"imputemean"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpImpute`].
@@ -59,7 +61,7 @@ PipeOpImputeMean = R6Class("PipeOpImputeMean",
   inherit = PipeOpImpute,
   public = list(
     initialize = function(id = "imputemean", param_vals = list()) {
-      super$initialize(id, param_vals = param_vals, feature_types= c("numeric", "integer"))
+      super$initialize(id, param_vals = param_vals, feature_types= c("numeric", "integer"), dict_entry = "imputemean")
     }
   ),
   private = list(
diff --git a/R/PipeOpImputeMedian.R b/R/PipeOpImputeMedian.R
index 0113b3565..5bbba6e4f 100644
--- a/R/PipeOpImputeMedian.R
+++ b/R/PipeOpImputeMedian.R
@@ -14,8 +14,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"imputemedian"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpImpute`].
@@ -59,7 +61,7 @@ PipeOpImputeMedian = R6Class("PipeOpImputeMedian",
   inherit = PipeOpImpute,
   public = list(
     initialize = function(id = "imputemedian", param_vals = list()) {
-      super$initialize(id, param_vals = param_vals, packages = "stats", feature_types = c("numeric", "integer"))
+      super$initialize(id, param_vals = param_vals, packages = "stats", feature_types = c("numeric", "integer"), dict_entry = "imputemedian")
     }
   ),
   private = list(
diff --git a/R/PipeOpImputeMode.R b/R/PipeOpImputeMode.R
index bdef94cde..fc7e71719 100644
--- a/R/PipeOpImputeMode.R
+++ b/R/PipeOpImputeMode.R
@@ -15,8 +15,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"imputemode"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpImpute`].
@@ -66,7 +68,7 @@ PipeOpImputeMode = R6Class("PipeOpImputeMode",
   inherit = PipeOpImpute,
   public = list(
     initialize = function(id = "imputemode", param_vals = list()) {
-      super$initialize(id, param_vals = param_vals, feature_types = c("factor", "integer", "logical", "numeric", "ordered"))
+      super$initialize(id, param_vals = param_vals, feature_types = c("factor", "integer", "logical", "numeric", "ordered"), dict_entry = "imputemode")
     }
   ),
   private = list(
diff --git a/R/PipeOpImputeOOR.R b/R/PipeOpImputeOOR.R
index f1037cc51..b50618789 100644
--- a/R/PipeOpImputeOOR.R
+++ b/R/PipeOpImputeOOR.R
@@ -38,8 +38,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"imputeoor"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpImpute`].
@@ -119,7 +121,7 @@ PipeOpImputeOOR = R6Class("PipeOpImputeOOR",
       )
       # this is one of the few imputers that handles 'character' features!
       super$initialize(id, param_set = ps, param_vals = param_vals, empty_level_control = "param",
-        feature_types = c("character", "factor", "integer", "numeric", "ordered"))
+        feature_types = c("character", "factor", "integer", "numeric", "ordered"), dict_entry = "imputeoor")
     }
   ),
   private = list(
diff --git a/R/PipeOpImputeSample.R b/R/PipeOpImputeSample.R
index 214998728..425374cb1 100644
--- a/R/PipeOpImputeSample.R
+++ b/R/PipeOpImputeSample.R
@@ -14,8 +14,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"imputesample"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpImpute`].
@@ -61,7 +63,7 @@ PipeOpImputeSample = R6Class("PipeOpImputeSample",
   inherit = PipeOpImpute,
   public = list(
     initialize = function(id = "imputesample", param_vals = list()) {
-      super$initialize(id, param_vals = param_vals, feature_types = c("factor", "integer", "logical", "numeric", "ordered"))
+      super$initialize(id, param_vals = param_vals, feature_types = c("factor", "integer", "logical", "numeric", "ordered"), dict_entry = "imputesample")
     }
   ),
   private = list(
diff --git a/R/PipeOpKernelPCA.R b/R/PipeOpKernelPCA.R
index d9b115d8a..6834273d9 100644
--- a/R/PipeOpKernelPCA.R
+++ b/R/PipeOpKernelPCA.R
@@ -15,8 +15,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"kernelpca"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -79,7 +81,7 @@ PipeOpKernelPCA = R6Class("PipeOpKernelPCA",
         na.action = p_uty(default = stats::na.omit, tags = c("train", "kpca"))
       )
       super$initialize(id, param_set = ps, param_vals = param_vals,
-        packages = "kernlab", feature_types = c("numeric", "integer"))
+        packages = "kernlab", feature_types = c("numeric", "integer"), dict_entry = "kernelpca")
     }
   ),
   private = list(
diff --git a/R/PipeOpLearner.R b/R/PipeOpLearner.R
index 972eb12d5..c6b7f489b 100644
--- a/R/PipeOpLearner.R
+++ b/R/PipeOpLearner.R
@@ -24,8 +24,10 @@
 #'  This argument is always cloned; to access the [`Learner`][mlr3::Learner] inside `PipeOpLearner` by-reference, use `$learner`.\cr
 #' * `id` :: `character(1)`\cr
 #'   Identifier of the resulting  object, internally defaulting to the `id` of the [`Learner`][mlr3::Learner] being wrapped.
+#'   Deprecated, will be removed in the future.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' `PipeOpLearner` has one input channel named `"input"`, taking a [`Task`][mlr3::Task] specific to the [`Learner`][mlr3::Learner]
@@ -108,7 +110,8 @@ PipeOpLearner = R6Class("PipeOpLearner", inherit = PipeOp,
       out_type = mlr_reflections$task_types[type, mult = "first"]$prediction
       properties = c("validation", "internal_tuning")
       properties = properties[properties %in% private$.learner$properties]
-      super$initialize(id, param_set = alist(private$.learner$param_set), param_vals = param_vals,
+      super$initialize(id = id, dict_entry = "learner",
+        param_set = alist(private$.learner$param_set), param_vals = param_vals,
         input = data.table(name = "input", train = task_type, predict = task_type),
         output = data.table(name = "output", train = "NULL", predict = out_type),
         tags = "learner", packages = learner$packages, properties = properties
diff --git a/R/PipeOpLearnerCV.R b/R/PipeOpLearnerCV.R
index 644aba548..5fb646f6b 100644
--- a/R/PipeOpLearnerCV.R
+++ b/R/PipeOpLearnerCV.R
@@ -33,8 +33,10 @@
 #'  This argument is always cloned; to access the [`Learner`][mlr3::Learner] inside `PipeOpLearnerCV` by-reference, use `$learner`.\cr
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting object, internally defaulting to the `id` of the [`Learner`][mlr3::Learner] being wrapped.
+#'   Deprecated, will be removed in the future.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' `PipeOpLearnerCV` has one input channel named `"input"`, taking a [`Task`][mlr3::Task] specific to the [`Learner`][mlr3::Learner]
@@ -137,7 +139,7 @@ PipeOpLearnerCV = R6Class("PipeOpLearnerCV",
       # in PipeOp ParamSets.
       # private$.crossval_param_set$add_dep("folds", "method", CondEqual$new("cv"))  # don't do this.
 
-      super$initialize(id, alist(resampling = private$.crossval_param_set, private$.learner$param_set), param_vals = param_vals, can_subset_cols = TRUE, task_type = task_type, tags = c("learner", "ensemble"))
+      super$initialize(id, alist(resampling = private$.crossval_param_set, private$.learner$param_set), param_vals = param_vals, can_subset_cols = TRUE, task_type = task_type, tags = c("learner", "ensemble"), dict_entry = "learner_cv")
     }
 
   ),
diff --git a/R/PipeOpLearnerPICVPlus.R b/R/PipeOpLearnerPICVPlus.R
index 979878f00..eacbc744a 100644
--- a/R/PipeOpLearnerPICVPlus.R
+++ b/R/PipeOpLearnerPICVPlus.R
@@ -25,9 +25,10 @@
 #'  This argument is always cloned; to access the [`Learner`][mlr3::Learner] inside `PipeOpLearnerPICVPlus` by-reference, use `$learner`.\cr
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting  object, internally defaulting to the `id` of the [`Learner`][mlr3::Learner] being wrapped.
+#'   Deprecated, will be removed in the future.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction.
-#'   Default is `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default is `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' `PipeOpLearnerPICVPlus` has one input channel named `"input"`, taking a [`Task`][mlr3::Task] specific to the [`Learner`][mlr3::Learner]
@@ -116,11 +117,11 @@ PipeOpLearnerPICVPlus = R6Class("PipeOpLearnerPICVPlus",
       private$.picvplus_param_set$values = list(folds = 3, alpha = 0.05) # default
 
       super$initialize(id, param_set = alist(picvplus = private$.picvplus_param_set, private$.learner$param_set),
-                        param_vals = param_vals,
-                        input = data.table(name = "input", train = task_type, predict = task_type),
-                        output = data.table(name = "output", train = "NULL", predict = out_type),
-                        packages = learner$packages,
-                        tags = c("learner", "ensemble")
+        param_vals = param_vals,
+        input = data.table(name = "input", train = task_type, predict = task_type),
+        output = data.table(name = "output", train = "NULL", predict = out_type),
+        packages = learner$packages,
+        tags = c("learner", "ensemble"), dict_entry = "learner_pi_cvplus"
       )
     }
   ),
diff --git a/R/PipeOpLearnerQuantiles.R b/R/PipeOpLearnerQuantiles.R
index c180b75bd..3035a37b0 100644
--- a/R/PipeOpLearnerQuantiles.R
+++ b/R/PipeOpLearnerQuantiles.R
@@ -24,8 +24,10 @@
 #'   This argument is always cloned; to access the [`Learner`][mlr3::Learner] inside `PipeOpLearnerQuantiles` by-reference, use `$learner`.
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting  object, internally defaulting to the `id` of the [`Learner`][mlr3::Learner] being wrapped.
+#'   Deprecated, will be removed in the future.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' `PipeOpLearnerQuantiles` has one input channel named `"input"`, taking a [`TaskRegr`][mlr3::TaskRegr] specific to the [`Learner`][mlr3::Learner]
@@ -109,10 +111,10 @@ PipeOpLearnerQuantiles = R6Class("PipeOpLearnerQuantiles",
       private$.quantiles_param_set$values = list(q_vals = c(0.05, 0.5, 0.95), q_response = 0.5)  # default
 
       super$initialize(id, param_set = alist(quantiles = private$.quantiles_param_set, private$.learner$param_set),
-                       param_vals = param_vals,
-                       input = data.table(name = "input", train = task_type, predict = task_type),
-                       output = data.table(name = "output", train = "NULL", predict = out_type),
-                       packages = learner$packages, tags = c("learner", "ensemble")
+        param_vals = param_vals,
+        input = data.table(name = "input", train = task_type, predict = task_type),
+        output = data.table(name = "output", train = "NULL", predict = out_type),
+        packages = learner$packages, tags = c("learner", "ensemble"), dict_entry = "learner_quantiles"
       )
     }
   ),
diff --git a/R/PipeOpMissingIndicators.R b/R/PipeOpMissingIndicators.R
index d3858ccfe..85bd623b2 100644
--- a/R/PipeOpMissingIndicators.R
+++ b/R/PipeOpMissingIndicators.R
@@ -18,8 +18,10 @@
 #'
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting  object, defaulting to `"missind"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section State:
 #' `$state` is a named `list` with the `$state` elements inherited from [`PipeOpTaskPreproc`], as well as:
@@ -84,7 +86,7 @@ PipeOpMissInd = R6Class("PipeOpMissInd",
         type = p_fct(levels = c("factor", "integer", "logical", "numeric"), tags = c("train", "predict", "required"))
       )
       ps$values = list(which = "missing_train", type = "factor")
-      super$initialize(id, ps, param_vals = param_vals, tags = "missings")
+      super$initialize(id, ps, param_vals = param_vals, tags = "missings", dict_entry = "missind")
       if ("affect_columns" %nin% names(param_vals)) {
         # can't put this in `ps$values` because it is a PipeOpTaskPreproc param
         self$param_set$values$affect_columns = selector_invert(selector_type(c("factor", "ordered", "character")))
diff --git a/R/PipeOpModelMatrix.R b/R/PipeOpModelMatrix.R
index 8bd9ad28e..cd7d9cae5 100644
--- a/R/PipeOpModelMatrix.R
+++ b/R/PipeOpModelMatrix.R
@@ -14,8 +14,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"modelmatrix"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -65,7 +67,7 @@ PipeOpModelMatrix = R6Class("PipeOpModelMatrix",
       ps = ps(
         formula = p_uty(tags = c("train", "predict"), custom_check = check_formula)
       )
-      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "stats")
+      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "stats", dict_entry = "modelmatrix")
     }
   ),
   private = list(
diff --git a/R/PipeOpMultiplicity.R b/R/PipeOpMultiplicity.R
index d3fd79222..944dd0df1 100644
--- a/R/PipeOpMultiplicity.R
+++ b/R/PipeOpMultiplicity.R
@@ -26,9 +26,10 @@
 #'   `innum`.
 #' * `id` :: `character(1)`\cr
 #'   Identifier of the resulting object, default `"multiplicityimply"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' [`PipeOpMultiplicityImply`] has multiple input channels depending on the `innum` construction
@@ -88,7 +89,7 @@ PipeOpMultiplicityImply = R6Class("PipeOpMultiplicityImply",
       super$initialize(id, param_vals = param_vals,
         input = data.table(name = inname, train = "*", predict = "*"),
         output = data.table(name = "output", train = "[*]", predict = "[*]"),
-        tags = "multiplicity"
+        tags = "multiplicity", dict_entry = "multiplicityimply"
       )
     }
   ),
@@ -134,9 +135,10 @@ mlr_pipeops$add("multiplicityimply", PipeOpMultiplicityImply)
 #'   Determines the number of output channels.
 #' * `id` :: `character(1)`\cr
 #'   Identifier of the resulting object, default `"multiplicityexply"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' [`PipeOpMultiplicityExply`] has a single input channel named `"input"`, collecting a
@@ -182,7 +184,7 @@ PipeOpMultiplicityExply = R6Class("PipeOpMultiplicityExply",
       super$initialize(id, param_vals = param_vals,
         input = data.table(name = "input", train = "[*]", predict = "[*]"),
         output = data.table(name = rep_suffix("output", outnum), train = "*", predict = "*"),
-        tags = "multiplicity"
+        tags = "multiplicity", dict_entry = "multiplicityexply"
       )
     }
   ),
@@ -221,9 +223,10 @@ mlr_pipeops$add("multiplicityexply", PipeOpMultiplicityExply, list("N"))
 #'
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting object, default `"replicate"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' [`PipeOpReplicate`] has one input channel named `"input"`, taking any input (`"*"`) both during training and prediction.
@@ -267,7 +270,7 @@ PipeOpReplicate = R6Class("PipeOpReplicate",
       super$initialize(id, param_set = ps, param_vals = param_vals,
         input = data.table(name = "input", train = "*", predict = "*"),
         output = data.table(name = "output", train = "[*]", predict = "[*]"),
-        tags = "multiplicity"
+        tags = "multiplicity", dict_entry = "replicate"
       )
     }
   ),
diff --git a/R/PipeOpMutate.R b/R/PipeOpMutate.R
index 093a24ea4..5fddf3a79 100644
--- a/R/PipeOpMutate.R
+++ b/R/PipeOpMutate.R
@@ -14,8 +14,10 @@
 #' ```
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"mutate"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -78,7 +80,7 @@ PipeOpMutate = R6Class("PipeOpMutate",
         delete_originals = p_lgl(tags = c("train", "predict", "required"))
       )
       ps$values = list(mutation = list(), delete_originals = FALSE)
-      super$initialize(id, ps, param_vals = param_vals)
+      super$initialize(id, ps, param_vals = param_vals, dict_entry = "mutate")
     }
   ),
   private = list(
diff --git a/R/PipeOpNMF.R b/R/PipeOpNMF.R
index 061875753..c4dc992ee 100644
--- a/R/PipeOpNMF.R
+++ b/R/PipeOpNMF.R
@@ -15,9 +15,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"nmf"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -133,7 +134,7 @@ PipeOpNMF = R6Class("PipeOpNMF",
         callback = p_uty(tags = c("train", "nmf"), depends = quote(keep.all == TRUE))  # .callback
       )
       ps$values = list(rank = 2L, method = "brunet", parallel = FALSE, parallel.required = FALSE)
-      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"), packages = c("MASS", "NMF"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"), packages = c("MASS", "NMF"), dict_entry = "nmf")
     }
   ),
   private = list(
diff --git a/R/PipeOpNOP.R b/R/PipeOpNOP.R
index 7353f4e1c..edc16126b 100644
--- a/R/PipeOpNOP.R
+++ b/R/PipeOpNOP.R
@@ -14,8 +14,10 @@
 #' ```
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"nop"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' `PipeOpNOP` has one input channel named `"input"`, taking any input (`"*"`) both during training and prediction.
@@ -64,7 +66,7 @@ PipeOpNOP = R6Class("PipeOpNOP",
       super$initialize(id, param_vals = param_vals,
         input = data.table(name = "input", train = "*", predict = "*"),
         output = data.table(name = "output", train = "*", predict = "*"),
-        tags = "meta"
+        tags = "meta", dict_entry = "nop"
       )
     }
   ),
diff --git a/R/PipeOpNearmiss.R b/R/PipeOpNearmiss.R
index 8ea5b72ec..c6a099957 100644
--- a/R/PipeOpNearmiss.R
+++ b/R/PipeOpNearmiss.R
@@ -21,8 +21,10 @@
 #' ```
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"nearmiss"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -78,7 +80,7 @@ PipeOpNearmiss = R6Class("PipeOpNearmiss",
         under_ratio = p_dbl(lower = 0, default = 1, tags = c("train", "nearmiss"))
       )
       super$initialize(id, param_set = ps, param_vals = param_vals, packages = "themis", can_subset_cols = FALSE,
-                       task_type = "TaskClassif", tags = "imbalanced data")
+        task_type = "TaskClassif", tags = "imbalanced data", dict_entry = "nearmiss")
     }
   ),
   private = list(
diff --git a/R/PipeOpOVR.R b/R/PipeOpOVR.R
index d1cad2794..ed6257576 100644
--- a/R/PipeOpOVR.R
+++ b/R/PipeOpOVR.R
@@ -26,8 +26,10 @@
 #' ```
 #' * `id` :: `character(1)`\cr
 #'   Identifier of the resulting object, default `"ovrsplit"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' [`PipeOpOVRSplit`] has one input channel named `"input"` taking a [`TaskClassif`][mlr3::TaskClassif]
@@ -81,7 +83,7 @@ PipeOpOVRSplit = R6Class("PipeOpOVRSplit",
       super$initialize(id, param_vals = param_vals,
         input = data.table(name = "input", train = "TaskClassif", predict = "TaskClassif"),
         output = data.table(name = "output", train = "[TaskClassif]", predict = "[TaskClassif]"),
-        tags = c("target transform", "multiplicity")
+        tags = c("target transform", "multiplicity"), dict_entry = "ovrsplit"
       )
     }
   ),
@@ -142,8 +144,10 @@ mlr_pipeops$add("ovrsplit", PipeOpOVRSplit)
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of the resulting object, default `"ovrunite"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpEnsemble`]. Instead of a
@@ -186,7 +190,7 @@ PipeOpOVRUnite = R6Class("PipeOpOVRUnite",
   inherit = PipeOpEnsemble,
   public = list(
     initialize = function(id = "ovrunite", param_vals = list()) {
-      super$initialize(0, TRUE, id, param_vals = param_vals, prediction_type = "PredictionClassif", tags = "multiplicity")
+      super$initialize(0, TRUE, id, param_vals = param_vals, prediction_type = "PredictionClassif", tags = "multiplicity", dict_entry = "ovrunite")
     }
   ),
   private = list(
diff --git a/R/PipeOpPCA.R b/R/PipeOpPCA.R
index 77011e7f0..a6be94b89 100644
--- a/R/PipeOpPCA.R
+++ b/R/PipeOpPCA.R
@@ -15,8 +15,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"pca"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -76,7 +78,7 @@ PipeOpPCA = R6Class("PipeOpPCA",
         scale. = p_lgl(default = FALSE, tags = c("train", "pca")),
         rank. = p_int(default = NULL, lower = 1, upper = Inf, special_vals = list(NULL), tags = c("train", "pca"))
       )
-      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"))
+      super$initialize(id = id, dict_entry = "pca", param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"))
     }
   ),
   private = list(
diff --git a/R/PipeOpProxy.R b/R/PipeOpProxy.R
index a79819ef2..733a4367c 100644
--- a/R/PipeOpProxy.R
+++ b/R/PipeOpProxy.R
@@ -21,9 +21,10 @@
 #'   Determines the number of output channels.
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object. See `$id` slot of [`PipeOp`].
+#'   Deprecated, will be removed in the future.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' `PipeOpProxy` has multiple input channels depending on the `innum` construction argument, named
@@ -111,7 +112,7 @@ PipeOpProxy = R6Class("PipeOpProxy",
       super$initialize(id, param_set = ps, param_vals = param_vals,
         input = data.table(name = inname, train = "*", predict = "*"),
         output = data.table(name = rep_suffix("output", outnum), train = "*", predict = "*"),
-        tags = "meta"
+        tags = "meta", dict_entry = "proxy"
       )
     }
   ),
diff --git a/R/PipeOpQuantileBin.R b/R/PipeOpQuantileBin.R
index 1e124f828..6bfec4e95 100644
--- a/R/PipeOpQuantileBin.R
+++ b/R/PipeOpQuantileBin.R
@@ -14,8 +14,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"quantilebin"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -63,7 +65,7 @@ PipeOpQuantileBin = R6Class("PipeOpQuantileBin",
         numsplits = p_int(lower = 2, special_vals = list(NULL), tags = "train")
       )
       ps$values = list(numsplits = 2L)
-      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "stats", feature_types = c("numeric", "integer"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "stats", feature_types = c("numeric", "integer"), dict_entry = "quantilebin")
     }
   ),
   private = list(
diff --git a/R/PipeOpRandomProjection.R b/R/PipeOpRandomProjection.R
index 7249dd334..cc5cc1e41 100644
--- a/R/PipeOpRandomProjection.R
+++ b/R/PipeOpRandomProjection.R
@@ -20,6 +20,7 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"randomprojection"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that
 #'   would otherwise be set during construction. Default `list()`.
@@ -77,7 +78,7 @@ PipeOpRandomProjection = R6Class("PipeOpRandomProjection",
         rank = p_int(lower = 0, tags = "train")
       )
       ps$values = list(rank = 1)
-      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"), dict_entry = "randomprojection")
     }
   ),
   private = list(
diff --git a/R/PipeOpRandomResponse.R b/R/PipeOpRandomResponse.R
index 6aeddb0ba..d557ab841 100644
--- a/R/PipeOpRandomResponse.R
+++ b/R/PipeOpRandomResponse.R
@@ -24,9 +24,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of the resulting object, default `"randomresponse"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #' * packages :: `character`\cr
 #'   Set of all required packages for the `private$.predict()` methods related to the `rdistfun`
 #'   parameter. Default is `character(0)`.
@@ -91,7 +92,7 @@ PipeOpRandomResponse = R6Class("PipeOpRandomResponse",
       ps$values = list(rdistfun = stats::rnorm)
       super$initialize(id = id, param_set = ps, param_vals = param_vals, packages = packages,
         input = data.table(name = "input", train = "NULL", predict = "Prediction"),
-        output = data.table(name = "output", train = "NULL", predict = "Prediction")
+        output = data.table(name = "output", train = "NULL", predict = "Prediction"), dict_entry = "randomresponse"
       )
     }
   ),
diff --git a/R/PipeOpRegrAvg.R b/R/PipeOpRegrAvg.R
index 69cd972a2..56fb62662 100644
--- a/R/PipeOpRegrAvg.R
+++ b/R/PipeOpRegrAvg.R
@@ -29,8 +29,10 @@
 #'   Default is `FALSE`.
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting  object, default `"regravg"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpEnsemble`]. Instead of a [`Prediction`][mlr3::Prediction], a [`PredictionRegr`][mlr3::PredictionRegr]
@@ -74,7 +76,7 @@ PipeOpRegrAvg = R6Class("PipeOpRegrAvg",
 
   public = list(
     initialize = function(innum = 0, collect_multiplicity = FALSE, id = "regravg", param_vals = list(), ...) {
-      super$initialize(innum, collect_multiplicity, id, param_vals = param_vals, prediction_type = "PredictionRegr", ...)
+      super$initialize(innum, collect_multiplicity, id, param_vals = param_vals, prediction_type = "PredictionRegr", ..., dict_entry = "regravg")
     }
   ),
   private = list(
diff --git a/R/PipeOpRemoveConstants.R b/R/PipeOpRemoveConstants.R
index f6237a431..2338d3894 100644
--- a/R/PipeOpRemoveConstants.R
+++ b/R/PipeOpRemoveConstants.R
@@ -17,8 +17,10 @@
 #'
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting  object, defaulting to `"removeconstants"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section State:
 #' `$state` is a named `list` with the `$state` elements inherited from [`PipeOpTaskPreproc`], as well as:
@@ -70,7 +72,7 @@ PipeOpRemoveConstants = R6Class("PipeOpRemoveConstants",
           na_ignore = p_lgl(tags = c("train", "required", "constant_check"))
       )
       ps$values = list(ratio = 0, rel_tol = 1e-8, abs_tol = 1e-8, na_ignore = TRUE)
-      super$initialize(id, param_set = ps, param_vals = param_vals, tags = "robustify")
+      super$initialize(id, param_set = ps, param_vals = param_vals, tags = "robustify", dict_entry = "removeconstants")
     }
   ),
   private = list(
diff --git a/R/PipeOpRenameColumns.R b/R/PipeOpRenameColumns.R
index b7d175e56..070657544 100644
--- a/R/PipeOpRenameColumns.R
+++ b/R/PipeOpRenameColumns.R
@@ -15,8 +15,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"renamecolumns"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -69,7 +71,7 @@ PipeOpRenameColumns = R6Class("PipeOpRenameColumns",
         ignore_missing = p_lgl(tags = c("train", "predict", "required"))
       )
       ps$values = list(renaming = character(0), ignore_missing = FALSE)
-      super$initialize(id, ps, param_vals = param_vals, can_subset_cols = FALSE)
+      super$initialize(id, ps, param_vals = param_vals, can_subset_cols = FALSE, dict_entry = "renamecolumns")
     }
   ),
   private = list(
diff --git a/R/PipeOpRowApply.R b/R/PipeOpRowApply.R
index e697f0137..083a86550 100644
--- a/R/PipeOpRowApply.R
+++ b/R/PipeOpRowApply.R
@@ -15,8 +15,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"rowapply"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -67,7 +69,7 @@ PipeOpRowApply = R6Class("PipeOpRowApply",
         applicator = identity,
         col_prefix = ""
       )
-      super$initialize(id, ps, param_vals = param_vals, feature_types = c("numeric", "integer"))
+      super$initialize(id, ps, param_vals = param_vals, feature_types = c("numeric", "integer"), dict_entry = "rowapply")
     }
   ),
   private = list(
diff --git a/R/PipeOpScale.R b/R/PipeOpScale.R
index 28ba37f2d..a9f64f2ef 100644
--- a/R/PipeOpScale.R
+++ b/R/PipeOpScale.R
@@ -18,8 +18,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"scale"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -84,7 +86,7 @@ PipeOpScale = R6Class("PipeOpScale",
         robust = p_lgl(tags = c("train", "required"))
       )
       ps$values = list(robust = FALSE)
-      super$initialize(id = id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"))
+      super$initialize(id = id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"), dict_entry = "scale")
     }
   ),
   private = list(
diff --git a/R/PipeOpScaleMaxAbs.R b/R/PipeOpScaleMaxAbs.R
index 6fbaa3285..472f70c6c 100644
--- a/R/PipeOpScaleMaxAbs.R
+++ b/R/PipeOpScaleMaxAbs.R
@@ -16,8 +16,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"scalemaxabs"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -58,7 +60,7 @@ PipeOpScaleMaxAbs = R6Class("PipeOpScaleMaxAbs",
         maxabs = p_dbl(lower = 0, tags = c("required", "train", "predict"))
       )
       ps$values = list(maxabs = 1)
-      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"), dict_entry = "scalemaxabs")
     }
   ),
   private = list(
diff --git a/R/PipeOpScaleRange.R b/R/PipeOpScaleRange.R
index f6b71f1eb..b232ba5bd 100644
--- a/R/PipeOpScaleRange.R
+++ b/R/PipeOpScaleRange.R
@@ -18,8 +18,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"scalerange"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -67,7 +69,7 @@ PipeOpScaleRange = R6Class("PipeOpScaleRange",
         upper = p_dbl(tags = c("required", "train"))
       )
       ps$values = list(lower = 0, upper = 1)
-      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"), dict_entry = "scalerange")
     }
   ),
   private = list(
diff --git a/R/PipeOpSelect.R b/R/PipeOpSelect.R
index 88492230a..48f83437a 100644
--- a/R/PipeOpSelect.R
+++ b/R/PipeOpSelect.R
@@ -15,8 +15,10 @@
 #' ```
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"select"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -74,7 +76,7 @@ PipeOpSelect = R6Class("PipeOpSelect",
         selector = p_uty(custom_check = check_function, tags = c("train", "required"))
       )
       ps$values = list(selector = selector_all())
-      super$initialize(id, ps, param_vals = param_vals, tags = "feature selection")
+      super$initialize(id, ps, param_vals = param_vals, tags = "feature selection", dict_entry = "select")
     }
   ),
   private = list(
diff --git a/R/PipeOpSmote.R b/R/PipeOpSmote.R
index cc73f9bfd..b6d3e7203 100644
--- a/R/PipeOpSmote.R
+++ b/R/PipeOpSmote.R
@@ -16,8 +16,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"smote"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -80,7 +82,7 @@ PipeOpSmote = R6Class("PipeOpSmote",
         dup_size = p_int(lower = 1, default = 0, special_vals = list(0), tags = c("train", "smote"))
       )
       super$initialize(id, param_set = ps, param_vals = param_vals, can_subset_cols = FALSE,
-        packages = "smotefamily", task_type = "TaskClassif", tags = "imbalanced data")
+        packages = "smotefamily", task_type = "TaskClassif", tags = "imbalanced data", dict_entry = "smote")
     }
   ),
   private = list(
diff --git a/R/PipeOpSmoteNC.R b/R/PipeOpSmoteNC.R
index aaaa458a6..f8d83da45 100644
--- a/R/PipeOpSmoteNC.R
+++ b/R/PipeOpSmoteNC.R
@@ -27,8 +27,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"smotenc"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -90,7 +92,7 @@ PipeOpSmoteNC = R6Class("PipeOpSmoteNC",
         over_ratio = p_dbl(lower = 0, default = 1, tags = c("train", "smotenc"))
       )
       super$initialize(id, param_set = ps, param_vals = param_vals, packages = "themis", can_subset_cols = FALSE,
-                       task_type = "TaskClassif", tags = "imbalanced data")
+                       task_type = "TaskClassif", tags = "imbalanced data", dict_entry = "smotenc")
     }
   ),
   private = list(
diff --git a/R/PipeOpSpatialSign.R b/R/PipeOpSpatialSign.R
index f480b12f2..383fe2d1f 100644
--- a/R/PipeOpSpatialSign.R
+++ b/R/PipeOpSpatialSign.R
@@ -14,8 +14,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"spatialsign"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -62,7 +64,7 @@ PipeOpSpatialSign = R6Class("PipeOpSpatialSign",
         norm = p_dbl(tags = c("train", "predict"), lower = 0)
       )
       ps$values = list(norm = 2, length = 1)
-      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, feature_types = c("numeric", "integer"), dict_entry = "spatialsign")
     }
   ),
   private = list(
diff --git a/R/PipeOpSubsample.R b/R/PipeOpSubsample.R
index 243f6a9d0..95605159a 100644
--- a/R/PipeOpSubsample.R
+++ b/R/PipeOpSubsample.R
@@ -17,8 +17,10 @@
 #' ```
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting  object, default `"subsample"`
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -87,7 +89,7 @@ PipeOpSubsample = R6Class("PipeOpSubsample",
         replace = p_lgl(tags = "train")
       )
       ps$values = list(frac = 1 - exp(-1), stratify = FALSE, use_groups = TRUE, replace = FALSE)
-      super$initialize(id, param_set = ps, param_vals = param_vals, can_subset_cols = FALSE)
+      super$initialize(id, param_set = ps, param_vals = param_vals, can_subset_cols = FALSE, dict_entry = "subsample")
     }
   ),
   private = list(
diff --git a/R/PipeOpTaskPreproc.R b/R/PipeOpTaskPreproc.R
index 8e6e0b584..8b5867728 100644
--- a/R/PipeOpTaskPreproc.R
+++ b/R/PipeOpTaskPreproc.R
@@ -44,8 +44,9 @@
 #' * `param_set` :: [`ParamSet`][paradox::ParamSet]\cr
 #'   Parameter space description. This should be created by the subclass and given to `super$initialize()`.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings given in `param_set`. The
-#'   subclass should have its own `param_vals` parameter and pass it on to `super$initialize()`. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings given in `param_set`.
+#'   The subclass should have its own `param_vals` parameter and pass it on to `super$initialize()`. Default `list()`.
+#'   Deprecated, will be removed in the future.
 #' * `can_subset_cols` :: `logical(1)`\cr
 #'   Whether the `affect_columns` parameter should be added which lets the user limit the columns that are
 #'   modified by the `PipeOpTaskPreproc`. This should generally be `FALSE` if the operation adds or removes
@@ -168,7 +169,7 @@ PipeOpTaskPreproc = R6Class("PipeOpTaskPreproc",
 
   public = list(
     initialize = function(id, param_set = ps(), param_vals = list(), can_subset_cols = TRUE,
-      packages = character(0), task_type = "Task", tags = NULL, feature_types = mlr_reflections$task_feature_types) {
+      packages = character(0), task_type = "Task", tags = NULL, feature_types = mlr_reflections$task_feature_types, dict_entry = id) {
       if (can_subset_cols) {
         affectcols_ps = ps(affect_columns = p_uty(custom_check = check_function_or_null, default = selector_all(), tags = "train"))
         if (inherits(param_set, "ParamSet")) {
@@ -182,7 +183,7 @@ PipeOpTaskPreproc = R6Class("PipeOpTaskPreproc",
       super$initialize(id = id, param_set = param_set, param_vals = param_vals,
         input = data.table(name = "input", train = task_type, predict = task_type),
         output = data.table(name = "output", train = task_type, predict = task_type),
-        packages = packages, tags = c(tags, "data transform")
+        packages = packages, tags = c(tags, "data transform"), dict_entry = dict_entry
       )
     }
   ),
@@ -327,11 +328,13 @@ PipeOpTaskPreproc = R6Class("PipeOpTaskPreproc",
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object. See `$id` slot of [`PipeOp`].
+#'   Deprecated, will be removed in the future.
 #' * `param_set` :: [`ParamSet`][paradox::ParamSet]\cr
 #'   Parameter space description. This should be created by the subclass and given to `super$initialize()`.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings given in `param_set`. The
-#'   subclass should have its own `param_vals` parameter and pass it on to `super$initialize()`. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings given in `param_set`.
+#'   The subclass should have its own `param_vals` parameter and pass it on to `super$initialize()`. Default `list()`.
+#'   Deprecated, will be removed in the future.
 #' * `can_subset_cols` :: `logical(1)`\cr
 #'   Whether the `affect_columns` parameter should be added which lets the user limit the columns that are
 #'   modified by the `PipeOpTaskPreprocSimple`. This should generally be `FALSE` if the operation adds or removes
diff --git a/R/PipeOpTextVectorizer.R b/R/PipeOpTextVectorizer.R
index 8a750c2ba..0f1c8b913 100644
--- a/R/PipeOpTextVectorizer.R
+++ b/R/PipeOpTextVectorizer.R
@@ -41,8 +41,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"textvectorizer"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -215,7 +217,7 @@ PipeOpTextVectorizer = R6Class("PipeOpTextVectorizer",
       )
 
       ps$values = list(stopwords_language = "smart", extra_stopwords = character(0), n = 1, scheme_df = "unary", return_type = "bow")
-      super$initialize(id = id, param_set = ps, param_vals = param_vals, packages = c("quanteda", "stopwords"), feature_types = "character")
+      super$initialize(id = id, param_set = ps, param_vals = param_vals, packages = c("quanteda", "stopwords"), feature_types = "character", dict_entry = "textvectorizer")
     }
   ),
   private = list(
diff --git a/R/PipeOpThreshold.R b/R/PipeOpThreshold.R
index 6a85f6f5b..2c2a7a1ec 100644
--- a/R/PipeOpThreshold.R
+++ b/R/PipeOpThreshold.R
@@ -16,9 +16,10 @@
 #'
 #' * `id` :: `character(1)`
 #'   Identifier of the resulting  object, default `"threshold"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction.
-#'   Defaults to `numeric(0)`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' During training, the input and output are `NULL`.
@@ -67,7 +68,7 @@ PipeOpThreshold = R6Class("PipeOpThreshold",
       super$initialize(id, param_set = param_set, param_vals = param_vals, packages = character(0),
         input = data.table(name = "input", train = "NULL", predict = "PredictionClassif"),
         output = data.table(name = "output", train = "NULL", predict = "PredictionClassif"),
-        tags = "target transform")
+        tags = "target transform", dict_entry = "threshold")
     }
   ),
   active = list(
diff --git a/R/PipeOpTomek.R b/R/PipeOpTomek.R
index 974b5b668..0b2cc766d 100644
--- a/R/PipeOpTomek.R
+++ b/R/PipeOpTomek.R
@@ -22,8 +22,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"tomek"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -69,7 +71,7 @@ PipeOpTomek = R6Class("PipeOpTomek",
   public = list(
     initialize = function(id = "tomek", param_vals = list()) {
       super$initialize(id, param_set = ps(), param_vals = param_vals, packages = "themis", can_subset_cols = FALSE,
-                       task_type = "TaskClassif", tags = "imbalanced data")
+        task_type = "TaskClassif", tags = "imbalanced data", dict_entry = "tomek")
     }
   ),
   private = list(
diff --git a/R/PipeOpTrafo.R b/R/PipeOpTrafo.R
index 56bb0b511..aea8a9663 100644
--- a/R/PipeOpTrafo.R
+++ b/R/PipeOpTrafo.R
@@ -26,6 +26,7 @@
 #'   List of hyperparameter settings, overwriting the hyperparameter settings given in `param_set`.
 #'   The subclass should have its own `param_vals` parameter and pass it on to `super$initialize()`.
 #'   Default `list()`.
+#'   Deprecated, will be removed in the future.
 #' * `task_type_in` :: `character(1)`\cr
 #'   The class of [`Task`][mlr3::Task] that should be accepted as input. This should generally be a `character(1)`
 #'   identifying a type of [`Task`][mlr3::Task], e.g. `"Task"`, `"TaskClassif"` or `"TaskRegr"` (or another subclass
@@ -116,11 +117,11 @@
 PipeOpTargetTrafo = R6Class("PipeOpTargetTrafo",
   inherit = PipeOp,
   public = list(
-    initialize = function(id, param_set = ps(), param_vals = list(), packages = character(0), task_type_in = "Task", task_type_out = task_type_in, tags = NULL) {
+    initialize = function(id, param_set = ps(), param_vals = list(), packages = character(0), task_type_in = "Task", task_type_out = task_type_in, tags = NULL, dict_entry = id) {
       super$initialize(id = id, param_set = param_set, param_vals = param_vals,
         input = data.table(name = "input", train = task_type_in, predict = task_type_in),
         output = data.table(name = c("fun", "output"), train = c("NULL", task_type_out), predict = c("function", task_type_out)),
-        packages = packages, tags = c(tags, "target transform")
+        packages = packages, tags = c(tags, "target transform"), dict_entry = dict_entry
       )
     }
   ),
@@ -195,8 +196,10 @@ PipeOpTargetTrafo = R6Class("PipeOpTargetTrafo",
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"targetinvert"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' `PipeOpTargetInvert` has two input channels named `"fun"` and `"prediction"`. During
@@ -231,7 +234,7 @@ PipeOpTargetInvert = R6Class("PipeOpTargetInvert",
     initialize = function(id = "targetinvert", param_vals = list()) {
       super$initialize(id = id, param_vals = param_vals,
         input = data.table(name = c("fun", "prediction"), train = c("NULL", "NULL"), predict = c("function", "Prediction")),
-        output = data.table(name = "output", train = "NULL", predict = "Prediction"), tags = "target transform"
+        output = data.table(name = "output", train = "NULL", predict = "Prediction"), tags = "target transform", dict_entry = "targetinvert"
       )
     }
   ),
@@ -266,9 +269,10 @@ mlr_pipeops$add("targetinvert", PipeOpTargetInvert)
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"targetmutate"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #' * `new_task_type` :: `character(1)` | `NULL`\cr
 #'   The task type to which the output is converted, must be one of `mlr_reflections$task_types$type`.
 #'   Defaults to `NULL`: no change in task type.
@@ -355,7 +359,7 @@ PipeOpTargetMutate = R6Class("PipeOpTargetMutate",
       # see https://github.com/mlr-org/paradox/issues/216 and related comment in PipeOpLearnerCV
 
       ps$values = list(trafo = identity, inverter = identity)
-      super$initialize(id = id, param_set = ps, param_vals = param_vals)
+      super$initialize(id = id, param_set = ps, param_vals = param_vals, dict_entry = "targetmutate")
     }
   ),
   active = list(
@@ -412,9 +416,10 @@ mlr_pipeops$add("targetmutate", PipeOpTargetMutate)
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"targettrafoscalerange"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-#'   be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTargetTrafo`].
@@ -466,7 +471,7 @@ PipeOpTargetTrafoScaleRange = R6Class("PipeOpTargetTrafoScaleRange",
         upper = p_dbl(tags = c("required", "train"))
       )
       ps$values = list(lower = 0, upper = 1)
-      super$initialize(id = id, param_set = ps, param_vals = param_vals, task_type_in = "TaskRegr")
+      super$initialize(id = id, param_set = ps, param_vals = param_vals, task_type_in = "TaskRegr", dict_entry = "targettrafoscalerange")
     }
   ),
   private = list(
@@ -529,6 +534,7 @@ mlr_pipeops$add("targettrafoscalerange", PipeOpTargetTrafoScaleRange)
 #'   List of hyperparameter settings, overwriting the hyperparameter settings given in `param_set`.
 #'   The subclass should have its own `param_vals` parameter and pass it on to `super$initialize()`.
 #'   Default `list()`.
+#'   Deprecated, will be removed in the future.
 #'
 #' @section Parameters:
 #' The parameters are the parameters inherited from [`PipeOpTargetTrafo`], as well as:
diff --git a/R/PipeOpTuneThreshold.R b/R/PipeOpTuneThreshold.R
index 2e0b50a42..7c21fb328 100644
--- a/R/PipeOpTuneThreshold.R
+++ b/R/PipeOpTuneThreshold.R
@@ -25,9 +25,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object. Default: "tunethreshold".
+#'   Deprecated, will be removed in the future.
 #' * `param_vals` :: named `list`\cr
-#'   List of hyperparameter settings, overwriting the hyperparameter settings
-#'   that would otherwise be set during construction. Default `list()`.
+#'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOp`].
@@ -95,7 +96,7 @@ PipeOpTuneThreshold = R6Class("PipeOpTuneThreshold",
       super$initialize(id, param_set = ps, param_vals = param_vals, packages = "bbotk",
         input = data.table(name = "input", train = "Task", predict = "Task"),
         output = data.table(name = "output", train = "NULL", predict = "Prediction"),
-        tags = "target transform"
+        tags = "target transform", dict_entry = "tunethreshold"
       )
     }
   ),
diff --git a/R/PipeOpUnbranch.R b/R/PipeOpUnbranch.R
index 2df4726ef..08d7170be 100644
--- a/R/PipeOpUnbranch.R
+++ b/R/PipeOpUnbranch.R
@@ -24,8 +24,10 @@
 #'   is always viable.
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"unbranch"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output:
 #' `PipeOpUnbranch` has multiple input channels depending on the `options` construction argument, named `"input1"`, `"input2"`, ...
@@ -79,7 +81,7 @@ PipeOpUnbranch = R6Class("PipeOpUnbranch",
       super$initialize(id, param_vals = param_vals,
         input = data.table(name = options, train = "*", predict = "*"),
         output = data.table(name = "output", train = "*", predict = "*"),
-        tags = "meta"
+        tags = "meta", dict_entry = "unbranch"
       )
     }
   ),
diff --git a/R/PipeOpVtreat.R b/R/PipeOpVtreat.R
index 3e723c631..b38c45cbc 100644
--- a/R/PipeOpVtreat.R
+++ b/R/PipeOpVtreat.R
@@ -19,8 +19,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"vtreat"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`]. Instead of a [`Task`][mlr3::Task], a
@@ -194,7 +196,7 @@ PipeOpVtreat = R6Class("PipeOpVtreat",
         # NOTE: parallelCluster missing intentionally and will be set to NULL
       )
       ps$values = list(recommended = TRUE, cols_to_copy = selector_none())
-      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "vtreat", task_type = "TaskSupervised", tags = c("encode", "missings"))
+      super$initialize(id, param_set = ps, param_vals = param_vals, packages = "vtreat", task_type = "TaskSupervised", tags = c("encode", "missings"), dict_entry = "vtreat")
     }
   ),
   private = list(
diff --git a/R/PipeOpYeoJohnson.R b/R/PipeOpYeoJohnson.R
index 891c9cbc7..8939935eb 100644
--- a/R/PipeOpYeoJohnson.R
+++ b/R/PipeOpYeoJohnson.R
@@ -16,8 +16,10 @@
 #'
 #' * `id` :: `character(1)`\cr
 #'   Identifier of resulting object, default `"yeojohnson"`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set a custom ID on construction.
 #' * `param_vals` :: named `list`\cr
 #'   List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default `list()`.
+#'   Deprecated, will be removed in the future. Use the [po()] syntax to set hyperparameters on construction.
 #'
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
@@ -77,7 +79,7 @@ PipeOpYeoJohnson = R6Class("PipeOpYeoJohnson",
         upper = p_dbl(tags = c("train", "yj"))
       )
       super$initialize(id, param_set = ps, param_vals = param_vals,
-        packages = "bestNormalize", feature_types = c("numeric", "integer"))
+        packages = "bestNormalize", feature_types = c("numeric", "integer"), dict_entry = "yeojohnson")
     }
   ),
   private = list(
diff --git a/R/TaskRegr_boston_housing.R b/R/TaskRegr_boston_housing.R
index b0a13b3e5..3c98e3b9c 100644
--- a/R/TaskRegr_boston_housing.R
+++ b/R/TaskRegr_boston_housing.R
@@ -4,7 +4,7 @@
 #' @name mlr_tasks_boston_housing
 #' @format [`R6Class`][R6::R6Class] object inheriting from [`TaskRegr`][mlr3::TaskRegr].
 #'
-#' The [`BostonHousing2`][mlbench::BostonHousing2] dataset 
+#' The [`BostonHousing2`][mlbench::BostonHousing2] dataset
 #' containing the corrected data from `r format_bib("freeman_1979")`
 #' as provided by the `mlbench` package. See data description there.
 #'
@@ -13,9 +13,8 @@ NULL
 load_boston_housing = function(id = "boston_housing") {
   bh = mlr3misc::load_dataset("BostonHousing2", "mlbench")
   bh$medv = NULL
-  bht = as_task_regr(bh, target = "cmedv", id = id, label = "Boston Housing Prices")
-  bht$man = "mlr3pipelines::mlr_tasks_boston_housing"
-  bht$backend$hash = "mlr3::mlr_tasks_boston_housing"
+  bht = as_task_regr(bh, target = "cmedv", id = id)
+  bht$override_info(man = "mlr3pipelines::mlr_tasks_boston_housing", hash = "mlr3::mlr_tasks_boston_housing")
   bht
 }
 
diff --git a/R/pipeline_bagging.R b/R/pipeline_bagging.R
index 5ff6bde34..94433e14d 100644
--- a/R/pipeline_bagging.R
+++ b/R/pipeline_bagging.R
@@ -57,8 +57,8 @@ pipeline_bagging = function(graph, iterations = 10, frac = 0.7, averager = NULL,
     averager = as_graph(averager, clone = TRUE)
   }
 
-  po("replicate", param_vals = list(reps = iterations)) %>>!%
-    po("subsample", param_vals = list(frac = frac, replace = replace)) %>>!%
+  po("replicate", reps = iterations) %>>!%
+    po("subsample", frac = frac, replace = replace) %>>!%
     g %>>!%
     averager
 }
diff --git a/R/pipeline_branch.R b/R/pipeline_branch.R
index 7637e1529..33f5ecd0a 100644
--- a/R/pipeline_branch.R
+++ b/R/pipeline_branch.R
@@ -78,10 +78,10 @@ pipeline_branch = function(graphs, prefix_branchops = "", prefix_paths = FALSE)
     poname_prefix = ""
   }
 
-  graph = gunion(graphs) %>>!% PipeOpUnbranch$new(branches, id = paste0(prefix_branchops, "unbranch"))
+  graph = gunion(graphs) %>>!% po("unbranch", branches, id = paste0(prefix_branchops, "unbranch"))
 
   branch_id = paste0(prefix_branchops, "branch")
-  po_branch = PipeOpBranch$new(branches, id = branch_id)
+  po_branch = po("branch", branches, id = branch_id)
   graph$add_pipeop(po_branch)
 
   pmap(list(graphs, poname_prefix, po_branch$output$name), function(gr, pnp, branch_chan) {
diff --git a/inst/testthat/helper_functions.R b/inst/testthat/helper_functions.R
index 9e3a55777..163288287 100644
--- a/inst/testthat/helper_functions.R
+++ b/inst/testthat/helper_functions.R
@@ -155,9 +155,10 @@ expect_valid_pipeop_param_set = function(po, check_ps_default_values = TRUE) {
 # - deep clone works
 # - *_internal checks for classes
 # - *_internal handles NO_OP as it should
-expect_pipeop_class = function(poclass, constargs = list(), check_ps_default_values = TRUE) {
+expect_pipeop_class = function(poclass, constargs = list(), param_vals = list(), check_ps_default_values = TRUE) {
   skip_on_cran()
   po = do.call(poclass$new, constargs)
+  po$param_set$set_values(.values = param_vals)
 
   expect_pipeop(po, check_ps_default_values = check_ps_default_values)
 
@@ -209,7 +210,7 @@ expect_pipeop_class = function(poclass, constargs = list(), check_ps_default_val
 #  - preproc() gives no error with data.table indata if PipeOp works without target column
 #
 # `task` must have at least two feature columns and at least two rows.
-expect_datapreproc_pipeop_class = function(poclass, constargs = list(), task,
+expect_datapreproc_pipeop_class = function(poclass, constargs = list(), param_vals = list(), task,
   predict_like_train = TRUE, predict_rows_independent = TRUE,
   deterministic_train = TRUE, deterministic_predict = TRUE,
   affect_context_independent = TRUE,  # whether excluding a column does not change what happens to the other columns
@@ -222,10 +223,12 @@ expect_datapreproc_pipeop_class = function(poclass, constargs = list(), task,
   original_clone = task$clone(deep = TRUE)
   expect_shallow_clone(task, original_clone)
 
-  expect_pipeop_class(poclass, constargs, check_ps_default_values = check_ps_default_values)
+  expect_pipeop_class(poclass, constargs, param_vals = param_vals, check_ps_default_values = check_ps_default_values)
 
   po = do.call(poclass$new, constargs)
+  po$param_set$set_values(.values = param_vals)
   po2 = do.call(poclass$new, constargs)
+  po2$param_set$set_values(.values = param_vals)
 
   expect_equal(po$innum, 1)
   expect_equal(po$outnum, 1)
@@ -437,6 +440,7 @@ expect_datapreproc_pipeop_class = function(poclass, constargs = list(), task,
   # test that predict on test rows during train is the same as predict on the rows
 
   po = do.call(poclass$new, constargs)
+  po$param_set$set_values(.values = param_vals)
 
   tasktrain = original_clone$clone(deep = TRUE)
   n_use = length(tasktrain$row_roles$use)
diff --git a/man/PipeOp.Rd b/man/PipeOp.Rd
index f5921c3a0..69e90bbd4 100644
--- a/man/PipeOp.Rd
+++ b/man/PipeOp.Rd
@@ -43,6 +43,7 @@ is not intended to be instantiated.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object. See \verb{$id} slot.
+Deprecated, will be removed in the future.
 \item \code{param_set} :: \code{\link[paradox:ParamSet]{ParamSet}} | \code{list} of \code{expression}\cr
 Parameter space description. This should be created by the subclass and given to \code{super$initialize()}.
 If this is a \code{\link[paradox:ParamSet]{ParamSet}}, it is used as the \code{PipeOp}'s \code{\link[paradox:ParamSet]{ParamSet}}
@@ -51,6 +52,7 @@ These \code{\link[paradox:ParamSet]{ParamSet}} are combined using a \code{\link[
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings given in \code{param_set}. The
 subclass should have its own \code{param_vals} parameter and pass it on to \code{super$initialize()}. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 \item \code{input} :: \code{\link[data.table:data.table]{data.table}} with columns \code{name} (\code{character}), \code{train} (\code{character}), \code{predict} (\code{character})\cr
 Sets the \verb{$input} slot of the resulting object; see description there.
 \item \code{output} :: \code{\link[data.table:data.table]{data.table}} with columns \code{name} (\code{character}), \code{train} (\code{character}), \code{predict} (\code{character})\cr
diff --git a/man/PipeOpEncodePL.Rd b/man/PipeOpEncodePL.Rd
index 4407d32a0..277d11919 100644
--- a/man/PipeOpEncodePL.Rd
+++ b/man/PipeOpEncodePL.Rd
@@ -33,8 +33,9 @@ Identifier of resulting object. See \verb{$id} slot of \code{\link{PipeOp}}.
 \item \code{param_set} :: \code{\link[paradox:ParamSet]{ParamSet}}\cr
 Parameter space description. This should be created by the subclass and given to \code{super$initialize()}.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings given in \code{param_set}. The
-subclass should have its own \code{param_vals} parameter and pass it on to \code{super$initialize()}. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings given in \code{param_set}.
+The subclass should have its own \code{param_vals} parameter and pass it on to \code{super$initialize()}. Default \code{list()}.
+Deprecated, will be removed in the future.
 \item \code{packages} :: \code{character}\cr
 Set of all required packages for the \code{\link{PipeOp}}'s \code{private$.train()} and \code{private$.predict()} methods. See \verb{$packages} slot.
 Default is \code{character(0)}.
diff --git a/man/PipeOpEnsemble.Rd b/man/PipeOpEnsemble.Rd
index 415859086..ead379b3f 100644
--- a/man/PipeOpEnsemble.Rd
+++ b/man/PipeOpEnsemble.Rd
@@ -26,10 +26,12 @@ If \code{TRUE}, the input is a \code{\link{Multiplicity}} collecting channel. Th
 Default is \code{FALSE}.
 \item \code{id} :: \code{character(1)}\cr
 Identifier of the resulting  object.
+Deprecated, will be removed in the future.
 \item \code{param_set} :: \code{\link[paradox:ParamSet]{ParamSet}}\cr
 ("Hyper"-)Parameters in form of a \code{\link[paradox:ParamSet]{ParamSet}} for the resulting \code{\link{PipeOp}}.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future.
 \item \code{packages} :: \code{character}\cr
 Set of packages required for this \code{PipeOp}. These packages are loaded during \verb{$train()} and \verb{$predict()}, but not attached.
 Default \code{character(0)}.
diff --git a/man/PipeOpImpute.Rd b/man/PipeOpImpute.Rd
index b8a2aa73f..f43b981ed 100644
--- a/man/PipeOpImpute.Rd
+++ b/man/PipeOpImpute.Rd
@@ -18,11 +18,13 @@ Abstract base class for feature imputation.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object. See \verb{$id} slot of \code{\link{PipeOp}}.
+Deprecated, will be removed in the future.
 \item \code{param_set} :: \code{\link[paradox:ParamSet]{ParamSet}}\cr
 Parameter space description. This should be created by the subclass and given to \code{super$initialize()}.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings given in \code{param_set}. The
-subclass should have its own \code{param_vals} parameter and pass it on to \code{super$initialize()}. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings given in \code{param_set}.
+The subclass should have its own \code{param_vals} parameter and pass it on to \code{super$initialize()}. Default \code{list()}.
+Deprecated, will be removed in the future.
 \item \code{whole_task_dependent} :: \code{logical(1)}\cr
 Whether the \code{context_columns} parameter should be added which lets the user limit the columns that are
 used for imputation inference. This should generally be \code{FALSE} if imputation depends only on individual features
diff --git a/man/PipeOpTargetTrafo.Rd b/man/PipeOpTargetTrafo.Rd
index 99d957a39..e67a853d7 100644
--- a/man/PipeOpTargetTrafo.Rd
+++ b/man/PipeOpTargetTrafo.Rd
@@ -30,6 +30,7 @@ Parameter space description. This should be created by the subclass and given to
 List of hyperparameter settings, overwriting the hyperparameter settings given in \code{param_set}.
 The subclass should have its own \code{param_vals} parameter and pass it on to \code{super$initialize()}.
 Default \code{list()}.
+Deprecated, will be removed in the future.
 \item \code{task_type_in} :: \code{character(1)}\cr
 The class of \code{\link[mlr3:Task]{Task}} that should be accepted as input. This should generally be a \code{character(1)}
 identifying a type of \code{\link[mlr3:Task]{Task}}, e.g. \code{"Task"}, \code{"TaskClassif"} or \code{"TaskRegr"} (or another subclass
diff --git a/man/PipeOpTaskPreproc.Rd b/man/PipeOpTaskPreproc.Rd
index 75afdab08..57f3483a5 100644
--- a/man/PipeOpTaskPreproc.Rd
+++ b/man/PipeOpTaskPreproc.Rd
@@ -49,8 +49,9 @@ Identifier of resulting object. See \verb{$id} slot of \code{\link{PipeOp}}.
 \item \code{param_set} :: \code{\link[paradox:ParamSet]{ParamSet}}\cr
 Parameter space description. This should be created by the subclass and given to \code{super$initialize()}.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings given in \code{param_set}. The
-subclass should have its own \code{param_vals} parameter and pass it on to \code{super$initialize()}. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings given in \code{param_set}.
+The subclass should have its own \code{param_vals} parameter and pass it on to \code{super$initialize()}. Default \code{list()}.
+Deprecated, will be removed in the future.
 \item \code{can_subset_cols} :: \code{logical(1)}\cr
 Whether the \code{affect_columns} parameter should be added which lets the user limit the columns that are
 modified by the \code{PipeOpTaskPreproc}. This should generally be \code{FALSE} if the operation adds or removes
diff --git a/man/PipeOpTaskPreprocSimple.Rd b/man/PipeOpTaskPreprocSimple.Rd
index 9463f488d..593ff80b6 100644
--- a/man/PipeOpTaskPreprocSimple.Rd
+++ b/man/PipeOpTaskPreprocSimple.Rd
@@ -34,11 +34,13 @@ This inherits from \code{\link{PipeOpTaskPreproc}} and behaves essentially the s
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object. See \verb{$id} slot of \code{\link{PipeOp}}.
+Deprecated, will be removed in the future.
 \item \code{param_set} :: \code{\link[paradox:ParamSet]{ParamSet}}\cr
 Parameter space description. This should be created by the subclass and given to \code{super$initialize()}.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings given in \code{param_set}. The
-subclass should have its own \code{param_vals} parameter and pass it on to \code{super$initialize()}. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings given in \code{param_set}.
+The subclass should have its own \code{param_vals} parameter and pass it on to \code{super$initialize()}. Default \code{list()}.
+Deprecated, will be removed in the future.
 \item \code{can_subset_cols} :: \code{logical(1)}\cr
 Whether the \code{affect_columns} parameter should be added which lets the user limit the columns that are
 modified by the \code{PipeOpTaskPreprocSimple}. This should generally be \code{FALSE} if the operation adds or removes
diff --git a/man/mlr_learners_graph.Rd b/man/mlr_learners_graph.Rd
index bf684365b..32aca6925 100644
--- a/man/mlr_learners_graph.Rd
+++ b/man/mlr_learners_graph.Rd
@@ -36,6 +36,7 @@ This argument is usually cloned, unless \code{clone_graph} is \code{FALSE}; to a
 Identifier of the resulting \code{\link[mlr3:Learner]{Learner}}.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings . Default \code{list()}.
+Deprecated, will be removed in the future.
 \item \code{task_type} :: \code{character(1)}\cr
 What \code{task_type} the \code{GraphLearner} should have; usually automatically inferred for \code{\link{Graph}}s that are simple enough.
 \item \code{predict_type} :: \code{character(1)}\cr
diff --git a/man/mlr_pipeops_adas.Rd b/man/mlr_pipeops_adas.Rd
index 33a094003..b7a6de60b 100644
--- a/man/mlr_pipeops_adas.Rd
+++ b/man/mlr_pipeops_adas.Rd
@@ -23,8 +23,10 @@ See \code{\link[smotefamily:adas]{smotefamily::ADAS}} for details.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"adas"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_blsmote.Rd b/man/mlr_pipeops_blsmote.Rd
index 08c6b0d8d..66b6e2ef1 100644
--- a/man/mlr_pipeops_blsmote.Rd
+++ b/man/mlr_pipeops_blsmote.Rd
@@ -20,8 +20,10 @@ See \code{\link[smotefamily:BLSMOTE]{smotefamily::BLSMOTE}} for details.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"smote"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_boxcox.Rd b/man/mlr_pipeops_boxcox.Rd
index 1b672f56c..dea49b1e1 100644
--- a/man/mlr_pipeops_boxcox.Rd
+++ b/man/mlr_pipeops_boxcox.Rd
@@ -21,8 +21,10 @@ See \code{\link[bestNormalize:boxcox]{bestNormalize::boxcox()}} for details.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"boxcox"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_branch.Rd b/man/mlr_pipeops_branch.Rd
index db449402b..5676e8d40 100644
--- a/man/mlr_pipeops_branch.Rd
+++ b/man/mlr_pipeops_branch.Rd
@@ -29,8 +29,10 @@ If \code{options} is a \code{character}, it determines the names of channels dir
 The \verb{$selection} parameter will then be factorial.
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"branch"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_chunk.Rd b/man/mlr_pipeops_chunk.Rd
index c82b399bf..8c39ed971 100644
--- a/man/mlr_pipeops_chunk.Rd
+++ b/man/mlr_pipeops_chunk.Rd
@@ -22,8 +22,10 @@ simply passes on the input during \code{outnum} times during prediction.
 Number of output channels, and therefore number of chunks created.
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"chunk"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_classbalancing.Rd b/man/mlr_pipeops_classbalancing.Rd
index fd95b8cdc..6a6efd6cb 100644
--- a/man/mlr_pipeops_classbalancing.Rd
+++ b/man/mlr_pipeops_classbalancing.Rd
@@ -22,8 +22,10 @@ beneficial for classification with imbalanced training data.
 \itemize{
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting  object, default \code{"classbalancing"}
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_classifavg.Rd b/man/mlr_pipeops_classifavg.Rd
index beb232e55..7975740bd 100644
--- a/man/mlr_pipeops_classifavg.Rd
+++ b/man/mlr_pipeops_classifavg.Rd
@@ -38,8 +38,10 @@ If \code{TRUE}, the input is a \code{\link{Multiplicity}} collecting channel. Th
 Default is \code{FALSE}.
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting object, default \code{"classifavg"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_classweights.Rd b/man/mlr_pipeops_classweights.Rd
index 678b0c4fa..eaec6de71 100644
--- a/man/mlr_pipeops_classweights.Rd
+++ b/man/mlr_pipeops_classweights.Rd
@@ -27,8 +27,10 @@ It therefore influences the behaviour of subsequent \code{\link[mlr3:Learner]{Le
 \itemize{
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting  object, default \code{"classweights"}
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_colapply.Rd b/man/mlr_pipeops_colapply.Rd
index 11b1280c4..3ec8ed7a6 100644
--- a/man/mlr_pipeops_colapply.Rd
+++ b/man/mlr_pipeops_colapply.Rd
@@ -27,8 +27,10 @@ from \code{Vectorize(f)}, it is not a function that should be used for \code{app
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"colapply"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_collapsefactors.Rd b/man/mlr_pipeops_collapsefactors.Rd
index 60044c35b..86f9b1a2c 100644
--- a/man/mlr_pipeops_collapsefactors.Rd
+++ b/man/mlr_pipeops_collapsefactors.Rd
@@ -27,8 +27,10 @@ Levels not seen during training are not touched during prediction; Therefore it
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"collapsefactors"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_colroles.Rd b/man/mlr_pipeops_colroles.Rd
index 6fe93c31a..d11de1038 100644
--- a/man/mlr_pipeops_colroles.Rd
+++ b/man/mlr_pipeops_colroles.Rd
@@ -20,9 +20,10 @@ Setting a new target variable or changing the role of an existing target variabl
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"colroles"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_copy.Rd b/man/mlr_pipeops_copy.Rd
index be1a51822..c635aea5a 100644
--- a/man/mlr_pipeops_copy.Rd
+++ b/man/mlr_pipeops_copy.Rd
@@ -22,8 +22,10 @@ Copies its input \code{outnum} times. This \code{\link{PipeOp}} usually not need
 Number of output channels, and therefore number of copies being made.
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"copy"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_datefeatures.Rd b/man/mlr_pipeops_datefeatures.Rd
index 8eeda0e8a..4c2375fa4 100644
--- a/man/mlr_pipeops_datefeatures.Rd
+++ b/man/mlr_pipeops_datefeatures.Rd
@@ -32,9 +32,10 @@ minute.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"datefeatures"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_decode.Rd b/man/mlr_pipeops_decode.Rd
index 76b08510b..a11bfc4ea 100644
--- a/man/mlr_pipeops_decode.Rd
+++ b/man/mlr_pipeops_decode.Rd
@@ -24,8 +24,10 @@ determined as the name of the column with the maximum value in the group.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"decode"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_encode.Rd b/man/mlr_pipeops_encode.Rd
index bc286e459..7318df674 100644
--- a/man/mlr_pipeops_encode.Rd
+++ b/man/mlr_pipeops_encode.Rd
@@ -27,8 +27,10 @@ Use the \code{\link{PipeOpTaskPreproc}} \verb{$affect_columns} functionality to
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"encode"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_encodeimpact.Rd b/man/mlr_pipeops_encodeimpact.Rd
index 33776ca10..68fc1b262 100644
--- a/man/mlr_pipeops_encodeimpact.Rd
+++ b/man/mlr_pipeops_encodeimpact.Rd
@@ -28,9 +28,10 @@ Treats new levels during prediction like missing values.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"encodeimpact"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would
-otherwise be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_encodelmer.Rd b/man/mlr_pipeops_encodelmer.Rd
index 33cb75759..bfcd25814 100644
--- a/man/mlr_pipeops_encodelmer.Rd
+++ b/man/mlr_pipeops_encodelmer.Rd
@@ -41,9 +41,10 @@ columns, or only encode columns of a certain type.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"encodelmer"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would
-otherwise be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_encodeplquantiles.Rd b/man/mlr_pipeops_encodeplquantiles.Rd
index 700611995..18cab8e4e 100644
--- a/man/mlr_pipeops_encodeplquantiles.Rd
+++ b/man/mlr_pipeops_encodeplquantiles.Rd
@@ -24,8 +24,10 @@ Affected feature columns may contain \code{NA}s. These are ignored when calculat
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"encodeplquantiles"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_encodepltree.Rd b/man/mlr_pipeops_encodepltree.Rd
index 2053eb2b5..94166d0d2 100644
--- a/man/mlr_pipeops_encodepltree.Rd
+++ b/man/mlr_pipeops_encodepltree.Rd
@@ -27,8 +27,10 @@ encoding. Supported options are \code{"TaskClassif"}for \code{\link[mlr3:mlr_lea
 \code{"TaskRegr"}for \code{\link[mlr3:mlr_learners_regr.rpart]{LearnerRegrRpart}}.
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"encodeplquantiles"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_featureunion.Rd b/man/mlr_pipeops_featureunion.Rd
index de03f667a..95b8b7aa8 100644
--- a/man/mlr_pipeops_featureunion.Rd
+++ b/man/mlr_pipeops_featureunion.Rd
@@ -41,9 +41,10 @@ If \code{TRUE}, the input is a \code{\link{Multiplicity}} collecting channel. Th
 Default is \code{FALSE}.
 \item \code{id} :: \code{character(1)}\cr
 Identifier of the resulting object, default \code{"featureunion"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 \item \code{assert_targets_equal} :: \code{logical(1)}\cr
 If \code{assert_targets_equal} is \code{TRUE} (Default), task target column names are checked for
 agreement. Disagreeing target column names are usually a bug, so this should often be left at
diff --git a/man/mlr_pipeops_filter.Rd b/man/mlr_pipeops_filter.Rd
index 308e66011..8bc0f2dc5 100644
--- a/man/mlr_pipeops_filter.Rd
+++ b/man/mlr_pipeops_filter.Rd
@@ -26,8 +26,10 @@ this means e.g. that setting \code{nfeat} to 0 will only remove features of the
 This argument is always cloned; to access the \code{\link[mlr3filters:Filter]{Filter}} inside \code{PipeOpFilter} by-reference, use \verb{$filter}.\cr
 \item \code{id} :: \code{character(1)}\cr
 Identifier of the resulting  object, defaulting to the \code{id} of the \code{\link[mlr3filters:Filter]{Filter}} being used.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_fixfactors.Rd b/man/mlr_pipeops_fixfactors.Rd
index 2eba59b67..3af5d6efe 100644
--- a/man/mlr_pipeops_fixfactors.Rd
+++ b/man/mlr_pipeops_fixfactors.Rd
@@ -22,8 +22,10 @@ Note this may introduce \emph{missing values} during prediction if unseen factor
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"fixfactors"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_histbin.Rd b/man/mlr_pipeops_histbin.Rd
index 3baeeb225..e21539959 100644
--- a/man/mlr_pipeops_histbin.Rd
+++ b/man/mlr_pipeops_histbin.Rd
@@ -21,8 +21,10 @@ binned with the lowest / highest bin respectively.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"histbin"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_ica.Rd b/man/mlr_pipeops_ica.Rd
index 6de1101d2..cfdf951f2 100644
--- a/man/mlr_pipeops_ica.Rd
+++ b/man/mlr_pipeops_ica.Rd
@@ -19,8 +19,10 @@ See \link[fastICA:fastICA]{fastICA::fastICA} for details.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"ica"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_imputeconstant.Rd b/man/mlr_pipeops_imputeconstant.Rd
index c2d42877b..8f87d47bc 100644
--- a/man/mlr_pipeops_imputeconstant.Rd
+++ b/man/mlr_pipeops_imputeconstant.Rd
@@ -18,9 +18,10 @@ Impute features by a constant value.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"imputeconstant"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_imputehist.Rd b/man/mlr_pipeops_imputehist.Rd
index a53263e3e..441c2e64e 100644
--- a/man/mlr_pipeops_imputehist.Rd
+++ b/man/mlr_pipeops_imputehist.Rd
@@ -25,8 +25,10 @@ does not need to save the training data.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"imputehist"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_imputelearner.Rd b/man/mlr_pipeops_imputelearner.Rd
index fb7c920a9..5fa887790 100644
--- a/man/mlr_pipeops_imputelearner.Rd
+++ b/man/mlr_pipeops_imputelearner.Rd
@@ -28,6 +28,7 @@ own imputation (see examples).
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"impute."}, followed by the \code{id} of the \code{Learner}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{learner} :: \code{\link[mlr3:Learner]{Learner}} | \code{character(1)}
 \code{\link[mlr3:Learner]{Learner}} to wrap, or a string identifying a \code{\link[mlr3:Learner]{Learner}} in the \code{\link[mlr3:mlr_learners]{mlr3::mlr_learners}} \code{\link[mlr3misc:Dictionary]{Dictionary}}.
 The \code{\link[mlr3:Learner]{Learner}} usually needs to be able to handle missing values, i.e. have the \code{missings} property, unless care is taken
@@ -35,6 +36,7 @@ that \code{context_columns} do not contain missings; see examples.\cr
 This argument is always cloned; to access the \code{\link[mlr3:Learner]{Learner}} inside \code{PipeOpImputeLearner} by-reference, use \verb{$learner}.\cr
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_imputemean.Rd b/man/mlr_pipeops_imputemean.Rd
index a4b33fa0f..6f407aafc 100644
--- a/man/mlr_pipeops_imputemean.Rd
+++ b/man/mlr_pipeops_imputemean.Rd
@@ -18,8 +18,10 @@ Impute numerical features by their mean.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"imputemean"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_imputemedian.Rd b/man/mlr_pipeops_imputemedian.Rd
index 8655e1ecc..dbf44b4b5 100644
--- a/man/mlr_pipeops_imputemedian.Rd
+++ b/man/mlr_pipeops_imputemedian.Rd
@@ -18,8 +18,10 @@ Impute numerical features by their median.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"imputemedian"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_imputemode.Rd b/man/mlr_pipeops_imputemode.Rd
index b35b83b13..71fc915fb 100644
--- a/man/mlr_pipeops_imputemode.Rd
+++ b/man/mlr_pipeops_imputemode.Rd
@@ -19,8 +19,10 @@ If multiple modes are present then imputed values are sampled randomly from them
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"imputemode"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_imputeoor.Rd b/man/mlr_pipeops_imputeoor.Rd
index 187c23acf..a744df618 100644
--- a/man/mlr_pipeops_imputeoor.Rd
+++ b/man/mlr_pipeops_imputeoor.Rd
@@ -42,8 +42,10 @@ after this \code{PipeOp}.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"imputeoor"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_imputesample.Rd b/man/mlr_pipeops_imputesample.Rd
index e80476851..fd33aa1e6 100644
--- a/man/mlr_pipeops_imputesample.Rd
+++ b/man/mlr_pipeops_imputesample.Rd
@@ -18,8 +18,10 @@ Impute features by sampling from non-missing training data.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"imputesample"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_kernelpca.Rd b/man/mlr_pipeops_kernelpca.Rd
index b18f5806f..05f61874e 100644
--- a/man/mlr_pipeops_kernelpca.Rd
+++ b/man/mlr_pipeops_kernelpca.Rd
@@ -19,8 +19,10 @@ See \link[kernlab:kpca]{kernlab::kpca} for details.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"kernelpca"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_learner.Rd b/man/mlr_pipeops_learner.Rd
index aab63683b..6639c2807 100644
--- a/man/mlr_pipeops_learner.Rd
+++ b/man/mlr_pipeops_learner.Rd
@@ -28,8 +28,10 @@ and tuning.
 This argument is always cloned; to access the \code{\link[mlr3:Learner]{Learner}} inside \code{PipeOpLearner} by-reference, use \verb{$learner}.\cr
 \item \code{id} :: \code{character(1)}\cr
 Identifier of the resulting  object, internally defaulting to the \code{id} of the \code{\link[mlr3:Learner]{Learner}} being wrapped.
+Deprecated, will be removed in the future.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_learner_cv.Rd b/man/mlr_pipeops_learner_cv.Rd
index 4dfd38111..78fbc9eb6 100644
--- a/man/mlr_pipeops_learner_cv.Rd
+++ b/man/mlr_pipeops_learner_cv.Rd
@@ -37,8 +37,10 @@ useful to use \code{\link{PipeOpFeatureUnion}} to bind the prediction \code{\lin
 This argument is always cloned; to access the \code{\link[mlr3:Learner]{Learner}} inside \code{PipeOpLearnerCV} by-reference, use \verb{$learner}.\cr
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting object, internally defaulting to the \code{id} of the \code{\link[mlr3:Learner]{Learner}} being wrapped.
+Deprecated, will be removed in the future.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_learner_pi_cvplus.Rd b/man/mlr_pipeops_learner_pi_cvplus.Rd
index 188718a80..9f2115c61 100644
--- a/man/mlr_pipeops_learner_pi_cvplus.Rd
+++ b/man/mlr_pipeops_learner_pi_cvplus.Rd
@@ -29,9 +29,10 @@ out-of-fold residuals and out-of-fold predictions.
 This argument is always cloned; to access the \code{\link[mlr3:Learner]{Learner}} inside \code{PipeOpLearnerPICVPlus} by-reference, use \verb{$learner}.\cr
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting  object, internally defaulting to the \code{id} of the \code{\link[mlr3:Learner]{Learner}} being wrapped.
+Deprecated, will be removed in the future.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction.
-Default is \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default is \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_learner_quantiles.Rd b/man/mlr_pipeops_learner_quantiles.Rd
index 9acf72b50..d38d8e37f 100644
--- a/man/mlr_pipeops_learner_quantiles.Rd
+++ b/man/mlr_pipeops_learner_quantiles.Rd
@@ -3,7 +3,7 @@
 \name{mlr_pipeops_learner_quantiles}
 \alias{mlr_pipeops_learner_quantiles}
 \alias{PipeOpLearnerQuantiles}
-\title{Wrap a Learner into a PipeOp to to predict multiple Quantiles}
+\title{Wrap a Learner into a PipeOp to predict multiple Quantiles}
 \format{
 \code{\link[R6:R6Class]{R6Class}} object inheriting from \code{\link{PipeOp}}.
 }
@@ -28,8 +28,10 @@ The \code{\link[mlr3:Learner]{Learner}} has to be a \code{\link[mlr3:LearnerRegr
 This argument is always cloned; to access the \code{\link[mlr3:Learner]{Learner}} inside \code{PipeOpLearnerQuantiles} by-reference, use \verb{$learner}.
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting  object, internally defaulting to the \code{id} of the \code{\link[mlr3:Learner]{Learner}} being wrapped.
+Deprecated, will be removed in the future.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_missind.Rd b/man/mlr_pipeops_missind.Rd
index 578044460..aeded394d 100644
--- a/man/mlr_pipeops_missind.Rd
+++ b/man/mlr_pipeops_missind.Rd
@@ -22,8 +22,10 @@ values in factorial columns are often indicated by out-of-range imputation (\cod
 \itemize{
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting  object, defaulting to \code{"missind"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_modelmatrix.Rd b/man/mlr_pipeops_modelmatrix.Rd
index f13f6f6e0..abec8ff3b 100644
--- a/man/mlr_pipeops_modelmatrix.Rd
+++ b/man/mlr_pipeops_modelmatrix.Rd
@@ -18,8 +18,10 @@ Transforms columns using a given \code{formula} using the \code{\link[stats:mode
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"modelmatrix"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_multiplicityexply.Rd b/man/mlr_pipeops_multiplicityexply.Rd
index 66f591560..cd7515c7a 100644
--- a/man/mlr_pipeops_multiplicityexply.Rd
+++ b/man/mlr_pipeops_multiplicityexply.Rd
@@ -27,9 +27,10 @@ may change.
 Determines the number of output channels.
 \item \code{id} :: \code{character(1)}\cr
 Identifier of the resulting object, default \code{"multiplicityexply"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_multiplicityimply.Rd b/man/mlr_pipeops_multiplicityimply.Rd
index 2ac6cce80..cddcc599e 100644
--- a/man/mlr_pipeops_multiplicityimply.Rd
+++ b/man/mlr_pipeops_multiplicityimply.Rd
@@ -30,9 +30,10 @@ of inputs. If \code{innum} is a \code{character} vector, the number of input cha
 \code{innum}.
 \item \code{id} :: \code{character(1)}\cr
 Identifier of the resulting object, default \code{"multiplicityimply"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_mutate.Rd b/man/mlr_pipeops_mutate.Rd
index 8adb36b74..6ea333ab5 100644
--- a/man/mlr_pipeops_mutate.Rd
+++ b/man/mlr_pipeops_mutate.Rd
@@ -19,8 +19,10 @@ This can add new features, or can change existing features.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"mutate"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_nearmiss.Rd b/man/mlr_pipeops_nearmiss.Rd
index 8d4898a66..75d648f76 100644
--- a/man/mlr_pipeops_nearmiss.Rd
+++ b/man/mlr_pipeops_nearmiss.Rd
@@ -26,8 +26,10 @@ See \code{\link[themis:nearmiss]{themis::nearmiss}} for details.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"nearmiss"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_nmf.Rd b/man/mlr_pipeops_nmf.Rd
index c7b29b64c..a85447685 100644
--- a/man/mlr_pipeops_nmf.Rd
+++ b/man/mlr_pipeops_nmf.Rd
@@ -19,9 +19,10 @@ affects non-negative numerical features. See \code{\link[NMF:nmf]{nmf()}} for de
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"nmf"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_nop.Rd b/man/mlr_pipeops_nop.Rd
index 7526ba53d..6b5380242 100644
--- a/man/mlr_pipeops_nop.Rd
+++ b/man/mlr_pipeops_nop.Rd
@@ -19,8 +19,10 @@ Can be useful during \code{\link{Graph}} construction using the \code{\link{\%>>
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"nop"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_ovrsplit.Rd b/man/mlr_pipeops_ovrsplit.Rd
index 062e086f8..a0007cb7b 100644
--- a/man/mlr_pipeops_ovrsplit.Rd
+++ b/man/mlr_pipeops_ovrsplit.Rd
@@ -30,8 +30,10 @@ may change.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of the resulting object, default \code{"ovrsplit"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_ovrunite.Rd b/man/mlr_pipeops_ovrunite.Rd
index 3ce033902..eea76cdc0 100644
--- a/man/mlr_pipeops_ovrunite.Rd
+++ b/man/mlr_pipeops_ovrunite.Rd
@@ -33,8 +33,10 @@ may change.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of the resulting object, default \code{"ovrunite"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_pca.Rd b/man/mlr_pipeops_pca.Rd
index df34f6be2..737b693e8 100644
--- a/man/mlr_pipeops_pca.Rd
+++ b/man/mlr_pipeops_pca.Rd
@@ -19,8 +19,10 @@ See \code{\link[stats:prcomp]{stats::prcomp()}} for details.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"pca"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_proxy.Rd b/man/mlr_pipeops_proxy.Rd
index d1b92cf65..8a4792e82 100644
--- a/man/mlr_pipeops_proxy.Rd
+++ b/man/mlr_pipeops_proxy.Rd
@@ -23,9 +23,10 @@ The \code{content} hyperparameter can be changed during tuning, this is useful a
 Determines the number of output channels.
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object. See \verb{$id} slot of \code{\link{PipeOp}}.
+Deprecated, will be removed in the future.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_quantilebin.Rd b/man/mlr_pipeops_quantilebin.Rd
index 3570d0503..dd8a9bfb6 100644
--- a/man/mlr_pipeops_quantilebin.Rd
+++ b/man/mlr_pipeops_quantilebin.Rd
@@ -18,8 +18,10 @@ Splits numeric features into quantile bins.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"quantilebin"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_randomprojection.Rd b/man/mlr_pipeops_randomprojection.Rd
index 486c91d5f..7f8ceff1a 100644
--- a/man/mlr_pipeops_randomprojection.Rd
+++ b/man/mlr_pipeops_randomprojection.Rd
@@ -24,6 +24,7 @@ if missing values can be expected.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"randomprojection"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that
 would otherwise be set during construction. Default \code{list()}.
diff --git a/man/mlr_pipeops_randomresponse.Rd b/man/mlr_pipeops_randomresponse.Rd
index e3331d268..300cb6660 100644
--- a/man/mlr_pipeops_randomresponse.Rd
+++ b/man/mlr_pipeops_randomresponse.Rd
@@ -28,9 +28,10 @@ deviation (sampling is done observation-wise).
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of the resulting object, default \code{"randomresponse"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 \item packages :: \code{character}\cr
 Set of all required packages for the \code{private$.predict()} methods related to the \code{rdistfun}
 parameter. Default is \code{character(0)}.
diff --git a/man/mlr_pipeops_regravg.Rd b/man/mlr_pipeops_regravg.Rd
index 76fac8eb0..c4d2fa6bd 100644
--- a/man/mlr_pipeops_regravg.Rd
+++ b/man/mlr_pipeops_regravg.Rd
@@ -33,8 +33,10 @@ If \code{TRUE}, the input is a \code{\link{Multiplicity}} collecting channel. Th
 Default is \code{FALSE}.
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting  object, default \code{"regravg"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_removeconstants.Rd b/man/mlr_pipeops_removeconstants.Rd
index 3da03d8ce..b92fc59c5 100644
--- a/man/mlr_pipeops_removeconstants.Rd
+++ b/man/mlr_pipeops_removeconstants.Rd
@@ -21,8 +21,10 @@ Missing values can be ignored or treated as a regular value distinct from non-mi
 \itemize{
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting  object, defaulting to \code{"removeconstants"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_renamecolumns.Rd b/man/mlr_pipeops_renamecolumns.Rd
index 131433937..ad7553f1b 100644
--- a/man/mlr_pipeops_renamecolumns.Rd
+++ b/man/mlr_pipeops_renamecolumns.Rd
@@ -19,8 +19,10 @@ Uses the \verb{$rename()} mutator of the \code{\link[mlr3:Task]{Task}}.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"renamecolumns"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_replicate.Rd b/man/mlr_pipeops_replicate.Rd
index 9d015566d..bc307e938 100644
--- a/man/mlr_pipeops_replicate.Rd
+++ b/man/mlr_pipeops_replicate.Rd
@@ -22,9 +22,10 @@ may change.
 \itemize{
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting object, default \code{"replicate"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_rowapply.Rd b/man/mlr_pipeops_rowapply.Rd
index 62226792b..39a4da4d2 100644
--- a/man/mlr_pipeops_rowapply.Rd
+++ b/man/mlr_pipeops_rowapply.Rd
@@ -19,8 +19,10 @@ Applies a function to each row of a task. Use the \code{affect_columns} paramete
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"rowapply"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_scale.Rd b/man/mlr_pipeops_scale.Rd
index 3bf30b521..fd31bc896 100644
--- a/man/mlr_pipeops_scale.Rd
+++ b/man/mlr_pipeops_scale.Rd
@@ -22,8 +22,10 @@ is \code{TRUE}, this corresponds to the \code{\link[stats:sd]{sd()}}.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"scale"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_scalemaxabs.Rd b/man/mlr_pipeops_scalemaxabs.Rd
index 011f75107..d0ee93268 100644
--- a/man/mlr_pipeops_scalemaxabs.Rd
+++ b/man/mlr_pipeops_scalemaxabs.Rd
@@ -20,8 +20,10 @@ are not scaled.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"scalemaxabs"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_scalerange.Rd b/man/mlr_pipeops_scalerange.Rd
index 48af7d223..5aa957e04 100644
--- a/man/mlr_pipeops_scalerange.Rd
+++ b/man/mlr_pipeops_scalerange.Rd
@@ -22,8 +22,10 @@ prediction.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"scalerange"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_select.Rd b/man/mlr_pipeops_select.Rd
index 7d678830b..19aa3c0d9 100644
--- a/man/mlr_pipeops_select.Rd
+++ b/man/mlr_pipeops_select.Rd
@@ -20,8 +20,10 @@ See \code{\link{Selector}} for selectors that are provided and how to write cust
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"select"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_smote.Rd b/man/mlr_pipeops_smote.Rd
index 0bfd310db..736fda8ad 100644
--- a/man/mlr_pipeops_smote.Rd
+++ b/man/mlr_pipeops_smote.Rd
@@ -20,8 +20,10 @@ It can only be applied to tasks with purely numeric features. See \code{\link[sm
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"smote"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_smotenc.Rd b/man/mlr_pipeops_smotenc.Rd
index 5a231bb2a..f9d262d99 100644
--- a/man/mlr_pipeops_smotenc.Rd
+++ b/man/mlr_pipeops_smotenc.Rd
@@ -31,8 +31,10 @@ See \code{\link[themis:smotenc]{themis::smotenc}} for details.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"smotenc"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_spatialsign.Rd b/man/mlr_pipeops_spatialsign.Rd
index efad79930..5f3b82f25 100644
--- a/man/mlr_pipeops_spatialsign.Rd
+++ b/man/mlr_pipeops_spatialsign.Rd
@@ -18,8 +18,10 @@ Normalizes the data row-wise. This is a natural generalization of the "sign" fun
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"spatialsign"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_subsample.Rd b/man/mlr_pipeops_subsample.Rd
index 6cd121c46..bf00034f5 100644
--- a/man/mlr_pipeops_subsample.Rd
+++ b/man/mlr_pipeops_subsample.Rd
@@ -22,8 +22,10 @@ negligible cost of predictive performance.
 \itemize{
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting  object, default \code{"subsample"}
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_targetinvert.Rd b/man/mlr_pipeops_targetinvert.Rd
index 33f65c50c..c0e8e8453 100644
--- a/man/mlr_pipeops_targetinvert.Rd
+++ b/man/mlr_pipeops_targetinvert.Rd
@@ -23,8 +23,10 @@ the \code{"prediction"} as a single element, and should return a \code{list} wit
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"targetinvert"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_targetmutate.Rd b/man/mlr_pipeops_targetmutate.Rd
index b348d1ce3..49e2f5422 100644
--- a/man/mlr_pipeops_targetmutate.Rd
+++ b/man/mlr_pipeops_targetmutate.Rd
@@ -19,9 +19,10 @@ An inverter-function that undoes the transformation during prediction must also
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"targetmutate"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 \item \code{new_task_type} :: \code{character(1)} | \code{NULL}\cr
 The task type to which the output is converted, must be one of \code{mlr_reflections$task_types$type}.
 Defaults to \code{NULL}: no change in task type.
diff --git a/man/mlr_pipeops_targettrafoscalerange.Rd b/man/mlr_pipeops_targettrafoscalerange.Rd
index 8400551c5..7295982d5 100644
--- a/man/mlr_pipeops_targettrafoscalerange.Rd
+++ b/man/mlr_pipeops_targettrafoscalerange.Rd
@@ -22,9 +22,10 @@ prediction.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"targettrafoscalerange"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise
-be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_textvectorizer.Rd b/man/mlr_pipeops_textvectorizer.Rd
index d40503694..625005b4e 100644
--- a/man/mlr_pipeops_textvectorizer.Rd
+++ b/man/mlr_pipeops_textvectorizer.Rd
@@ -49,8 +49,10 @@ The \code{\link{PipeOp}} works as follows:
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"textvectorizer"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_threshold.Rd b/man/mlr_pipeops_threshold.Rd
index d8aa2fa5c..86e015101 100644
--- a/man/mlr_pipeops_threshold.Rd
+++ b/man/mlr_pipeops_threshold.Rd
@@ -20,9 +20,10 @@ Internally calls \code{PredictionClassif$set_threshold}.
 \itemize{
 \item \code{id} :: \code{character(1)}
 Identifier of the resulting  object, default \code{"threshold"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction.
-Defaults to \code{numeric(0)}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_tomek.Rd b/man/mlr_pipeops_tomek.Rd
index 7a3bee4bd..84eca511b 100644
--- a/man/mlr_pipeops_tomek.Rd
+++ b/man/mlr_pipeops_tomek.Rd
@@ -26,8 +26,10 @@ See \code{\link[themis:tomek]{themis::tomek}} for details.
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"tomek"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_tunethreshold.Rd b/man/mlr_pipeops_tunethreshold.Rd
index f2707ef05..685f28972 100644
--- a/man/mlr_pipeops_tunethreshold.Rd
+++ b/man/mlr_pipeops_tunethreshold.Rd
@@ -29,9 +29,10 @@ in conjunction with \code{\link[mlr3:mlr_resamplings_insample]{ResamplingInsampl
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object. Default: "tunethreshold".
+Deprecated, will be removed in the future.
 \item \code{param_vals} :: named \code{list}\cr
-List of hyperparameter settings, overwriting the hyperparameter settings
-that would otherwise be set during construction. Default \code{list()}.
+List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_unbranch.Rd b/man/mlr_pipeops_unbranch.Rd
index f79719aed..346468a2d 100644
--- a/man/mlr_pipeops_unbranch.Rd
+++ b/man/mlr_pipeops_unbranch.Rd
@@ -28,8 +28,10 @@ However, it is not necessary to have matching names and the \emph{vararg} option
 is always viable.
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"unbranch"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_updatetarget.Rd b/man/mlr_pipeops_updatetarget.Rd
index 263b41ff3..d0c61edfa 100644
--- a/man/mlr_pipeops_updatetarget.Rd
+++ b/man/mlr_pipeops_updatetarget.Rd
@@ -37,6 +37,7 @@ Identifier of resulting object. See \verb{$id} slot of \code{\link{PipeOp}}.
 List of hyperparameter settings, overwriting the hyperparameter settings given in \code{param_set}.
 The subclass should have its own \code{param_vals} parameter and pass it on to \code{super$initialize()}.
 Default \code{list()}.
+Deprecated, will be removed in the future.
 }
 }
 
diff --git a/man/mlr_pipeops_vtreat.Rd b/man/mlr_pipeops_vtreat.Rd
index 81514f09d..aa95c4cb4 100644
--- a/man/mlr_pipeops_vtreat.Rd
+++ b/man/mlr_pipeops_vtreat.Rd
@@ -23,8 +23,10 @@ Internally, \code{PipeOpVtreat} follows the fit/prepare interface of vtreat, i.e
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"vtreat"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/man/mlr_pipeops_yeojohnson.Rd b/man/mlr_pipeops_yeojohnson.Rd
index f1823e343..ba7c3ee5f 100644
--- a/man/mlr_pipeops_yeojohnson.Rd
+++ b/man/mlr_pipeops_yeojohnson.Rd
@@ -20,8 +20,10 @@ See \code{\link[bestNormalize:yeojohnson]{bestNormalize::yeojohnson()}} for deta
 \itemize{
 \item \code{id} :: \code{character(1)}\cr
 Identifier of resulting object, default \code{"yeojohnson"}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set a custom ID on construction.
 \item \code{param_vals} :: named \code{list}\cr
 List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default \code{list()}.
+Deprecated, will be removed in the future. Use the \code{\link[=po]{po()}} syntax to set hyperparameters on construction.
 }
 }
 
diff --git a/tests/testthat/setup.R b/tests/testthat/setup.R
index 24d93773b..c0fabb82c 100644
--- a/tests/testthat/setup.R
+++ b/tests/testthat/setup.R
@@ -7,7 +7,7 @@ options(warnPartialMatchArgs = TRUE)
 options(warnPartialMatchAttr = TRUE)
 options(warnPartialMatchDollar = TRUE)
 options(mlr3.warn_deprecated = FALSE)  # avoid triggers when expect_identical() accesses deprecated fields
-
+options(mlr3.on_deprecated_mlr3component = "error")
 
 # simulate packages that extend existing task type
 x = mlr3::mlr_reflections
@@ -17,8 +17,8 @@ x$task_types = data.table::setkeyv(rbind(x$task_types, x$task_types["classif", m
 
 mlr3::mlr_tasks$add("boston_housing_classic", function(id = "boston_housing_classic") {
   b = mlr3::as_data_backend(mlr3misc::load_dataset("BostonHousing2", "mlbench"))
-  task = mlr3::TaskRegr$new(id, b, target = "medv", label = "Boston Housing Prices (target leakage, for mlr3pipelines tests only)")
-  b$hash = "mlr3pipelines::mlr_tasks_boston_housing_classic"
+  task = mlr3::TaskRegr$new(id, b, target = "medv")
+  task$override_info(man = "mlbench::BostonHousing2", hash = "mlr3::mlr_tasks_boston_housing_classic")
   task
 })
 
diff --git a/tests/testthat/test_Graph.R b/tests/testthat/test_Graph.R
index bb1dfd609..97d8f88b6 100644
--- a/tests/testthat/test_Graph.R
+++ b/tests/testthat/test_Graph.R
@@ -61,9 +61,9 @@ test_that("complex graph", {
   biggraph = PipeOpDebugBasic$new() %>>%
     PipeOpDebugMulti$new(1, 2) %>>%
     pipeline_greplicate(PipeOpDebugMulti$new(1, 2, "debug2"), 2) %>>%
-    gunion(list(PipeOpDebugBasic$new("basictop"),
+    gunion(list(PipeOpDebugBasic$new(id = "basictop"),
       PipeOpDebugMulti$new(2, 1, "debug2"),
-      PipeOpDebugBasic$new("basicbottom"))) %>>%
+      PipeOpDebugBasic$new(id = "basicbottom"))) %>>%
     PipeOpDebugMulti$new(3, 1, "debug3")
 
   lines = strsplit(capture_output(biggraph$train(1)), "\n")[[1]]
@@ -197,8 +197,8 @@ test_that("input / output lists and naming", {
 
 test_that("edges that introduce loops cannot be added", {
   g = Graph$new()$
-    add_pipeop(PipeOpNOP$new("p1"))$
-    add_pipeop(PipeOpNOP$new("p2"))
+    add_pipeop(po("nop", id = "p1"))$
+    add_pipeop(po("nop", id = "p2"))
 
   gclone = g$clone(deep = TRUE)
   expect_deep_clone(g, gclone)
@@ -334,13 +334,15 @@ test_that("Intermediate results are saved to Graph if requested", {
 })
 
 test_that("Namespaces get loaded", {
-  g = PipeOpPCA$new() %>>% PipeOpCopy$new(2) %>>%
-    gunion(list(PipeOpScale$new(), PipeOpNOP$new()))
+  g = po("pca") %>>% po("copy", 2) %>>%
+    gunion(list(po("scale"), po("nop")))
 
   g$train(mlr_tasks$get("iris"))
 
-  g$pipeops$scale$packages = c("4rfjfw", "324r32")
-  g$pipeops$nop$packages = c("4rfjfw", "9422228u")
+  sprivate = g$pipeops$scale$.__enclos_env__$private
+  sprivate$.packages = c("4rfjfw", "324r32")
+  nprivate = g$pipeops$nop$.__enclos_env__$private
+  nprivate$.packages = c("4rfjfw", "9422228u")
 
   res = try(g$train(mlr_tasks$get("iris")), silent = TRUE)
 
@@ -353,8 +355,8 @@ test_that("Namespaces get loaded", {
 })
 
 test_that("Graph State", {
-  g = PipeOpPCA$new() %>>% PipeOpCopy$new(2) %>>%
-    gunion(list(PipeOpScale$new(), PipeOpNOP$new()))
+  g = po("pca") %>>% po("copy", 2) %>>%
+    gunion(list(po("scale"), po("nop")))
 
   g_clone = g$clone(deep = TRUE)
   task = mlr_tasks$get("iris")
@@ -370,9 +372,9 @@ test_that("Graph State", {
 
 test_that("Graph with vararg input", {
   t1 = tsk("iris")
-  t2 = PipeOpPCA$new()$train(list(t1))[[1]]
-  tcombined = PipeOpFeatureUnion$new()$train(list(t1, t2))[[1]]
-  gr = as_graph(PipeOpFeatureUnion$new())
+  t2 = po("pca")$train(list(t1))[[1]]
+  tcombined = po("featureunion")$train(list(t1, t2))[[1]]
+  gr = as_graph(po("featureunion"))
   expect_equal(tcombined, gr$train(list(t1, t2), single_input = FALSE)[[1]])
   expect_equal(tcombined, gr$predict(list(t1, t2), single_input = FALSE)[[1]])
 
diff --git a/tests/testthat/test_GraphLearner.R b/tests/testthat/test_GraphLearner.R
index c8ebe4e8f..23a01f8ff 100644
--- a/tests/testthat/test_GraphLearner.R
+++ b/tests/testthat/test_GraphLearner.R
@@ -9,12 +9,12 @@ test_that("basic graphlearner tests", {
   gr = PipeOpLearner$new(lrn)
 
   glrn = GraphLearner$new(gr)
-  glrn$properties = setdiff(glrn$properties, "weights")  # FIXME: workaround until weights handling does not need to be part of the paramset
+  glrn$.__enclos_env__$private$.properties = setdiff(glrn$properties, "weights")  # FIXME: workaround until weights handling does not need to be part of the paramset
   if ("use_weights" %in% names(glrn)) {  # FIXME: condition can be removed when mlr3 weights update, mlr3-org/mlr3#1124 is on CRAN
     glrn$use_weights = "error"  # also need to update use_weights now
   }
   expect_true(run_experiment(task, glrn)$ok)
-  glrn$properties = c(glrn$properties, "weights")
+  glrn$.__enclos_env__$private$.properties = c(glrn$properties, "weights")
 
   glrn = GraphLearner$new(gr)
   expect_learner(glrn)
@@ -42,12 +42,13 @@ test_that("basic graphlearner tests", {
   glrn2 = GraphLearner$new(gr2)
   glrn2_clone = glrn2$clone(deep = TRUE)
   expect_learner(glrn2)
-  glrn2$properties = setdiff(glrn2$properties, "weights")  # FIXME: see above
+  properties_temp = glrn2$properties
+  glrn2$.__enclos_env__$private$.properties = setdiff(glrn2$properties, "weights")  # FIXME: see above
   if ("use_weights" %in% names(glrn2)) {  # FIXME: see above
     glrn2$use_weights = "error"  # see above
   }
   expect_true(run_experiment(task, glrn2)$ok)
-  glrn2$properties = c(glrn2$properties, "weights")  # reset changes
+  glrn2$.__enclos_env__$private$.properties = properties_temp  # reset changes
   if ("use_weights" %in% names(glrn2)) {  # FIXME: see above
     glrn2$use_weights = "use"  # reset changes
   }
@@ -55,6 +56,7 @@ test_that("basic graphlearner tests", {
   glrn2_clone$state = glrn2$state
 #  glrn2_clone$state$log = glrn2_clone$state$log$clone(deep = TRUE)  # FIXME: this can go when mlr-org/mlr3#343 is fixed
 #  glrn2_clone$state$model$classif.rpart$log = glrn2_clone$state$model$classif.rpart$log$clone(deep = TRUE)  # FIXME: this can go when mlr-org/mlr3#343 is fixed
+  glrn2_clone$label ; glrn2$label  # trigger private$.label cache
   expect_deep_clone(glrn2_clone, glrn2$clone(deep = TRUE))
   expect_prediction_classif({
     graphpred2 = glrn2$predict(task)
@@ -180,9 +182,11 @@ test_that("graphlearner parameters behave as they should", {
   dblrn$param_set$values$warning_train = 1
   dblrn$param_set$values$warning_predict = 1
 
-  pol = PipeOpLearner$new(dblrn, param_vals = list(message_predict = 0, warning_train = 0, warning_predict = 0))
+  pol = PipeOpLearner$new(dblrn)
+  pol$param_set$set_values(.values = list(message_predict = 0, warning_train = 0, warning_predict = 0))
 
-  gl = GraphLearner$new(pol, param_vals = list(classif.debug.warning_train = 1, classif.debug.warning_predict = 1))
+  gl = GraphLearner$new(pol)
+  gl$param_set$set_values(.values = list(classif.debug.warning_train = 1, classif.debug.warning_predict = 1))
 
   gl$param_set$values$classif.debug.warning_predict = 0
 
@@ -511,6 +515,8 @@ test_that("GraphLearner model", {
 
   lr = GraphLearner$new(graph)
 
+  lr$param_set ; graph$param_set  # trigger .param_set cache
+
   expect_equal(lr$graph, graph)
   expect_equal(lr$graph_model, graph)
 
@@ -518,6 +524,8 @@ test_that("GraphLearner model", {
 
   lr$train(tsk("iris"))
 
+  graph$param_set ; graph_orig$param_set  # trigger .param_set cache
+
   expect_equal(graph, graph_orig)
   expect_null(graph$state$pca)
 
@@ -535,7 +543,6 @@ test_that("GraphLearner model", {
 
   expect_equal(lr$graph_model$pipeops$classif.rpart$learner_model$importance(), imp)
 
-
 })
 
 test_that("predict() function for Graph", {
@@ -822,7 +829,7 @@ test_that("base_learner() works", {
 
   # double-channel pipeop cascade: see there is no exponential explosion
   gchain = chain_graphs(
-    lapply(1:20, function(i) ppl("branch", pos(paste0("nop_", c(2 * i, 2 * i + 1))), prefix_branchops = as.character(i))),
+    lapply(1:20, function(i) ppl("branch", pos(paste0("nop_", c(2 * i, 2 * i + 1))), prefix_branchops = sprintf("x%02d", i))),
     in_place = TRUE
   )
 
@@ -1092,7 +1099,7 @@ DebugBasic = R6Class("DebugBasic", inherit = LearnerClassifDebug,
   public = list(
     initialize = function(...) {
       super$initialize(...)
-      self$properties = setdiff(self$properties, c("importance", "selected_features", "loglik", "oob_error"))
+      private$.properties = setdiff(self$properties, c("importance", "selected_features", "loglik", "oob_error"))
     },
     importance = function() {
       return(sapply(self$state$feature_names, function(i) 1))
@@ -1105,7 +1112,7 @@ test_that("GraphLearner Importance", {
     public = list(
       initialize = function(...) {
         super$initialize(...)
-        self$properties = c(setdiff(self$properties, c("importance", "selected_features", "loglik", "oob_error")), "importance")
+        private$.properties = c(setdiff(self$properties, c("importance", "selected_features", "loglik", "oob_error")), "importance")
       },
       importance = function() {
         return(sapply(self$state$feature_names, function(i) 1))
@@ -1175,7 +1182,7 @@ test_that("GraphLearner Selected Features", {
     public = list(
       initialize = function(...) {
         super$initialize(...)
-        self$properties = c(setdiff(self$properties, c("importance", "selected_features", "loglik", "oob_error")), "selected_features")
+        private$.properties = c(setdiff(self$properties, c("importance", "selected_features", "loglik", "oob_error")), "selected_features")
       },
       selected_features = function() {
         return(self$state$feature_names[[1]])
@@ -1280,7 +1287,7 @@ test_that("GraphLearner other properties", {
     public = list(
       initialize = function(...) {
         super$initialize(...)
-        self$properties = c(
+        private$.properties = c(
           setdiff(self$properties, c("importance", "selected_features", "loglik", "oob_error")),
           "loglik", "oob_error")
       },
diff --git a/tests/testthat/test_conversion.R b/tests/testthat/test_conversion.R
index ad77300e4..1b2330759 100644
--- a/tests/testthat/test_conversion.R
+++ b/tests/testthat/test_conversion.R
@@ -97,7 +97,8 @@ test_that("po for Filter", {
   flt = mlr3filters::FilterVariance$new()
   flt$param_set$values$na.rm = TRUE
 
-  fpo1 = PipeOpFilter$new(flt, param_vals = list(na.rm = FALSE))
+  fpo1 = PipeOpFilter$new(flt)
+  fpo1$param_set$set_values(.values = list(na.rm = FALSE))
 
   fpo2 = po("filter", flt, na.rm = FALSE)
 
@@ -113,7 +114,8 @@ test_that("po for Learner", {
   lrn = LearnerClassifRpart$new()
   lrn$param_set$values$xval = 9
 
-  lpo1 = touch(PipeOpLearner$new(lrn, param_vals = list(xval = 1)))
+  lpo1 = touch(PipeOpLearner$new(lrn))
+  lpo1$param_set$set_values(.values = list(xval = 1))
 
   lpo2 = po("learner", lrn, xval = 1)
 
@@ -150,7 +152,7 @@ test_that("Graph to GraphLearner", {
 test_that("PipeOp to GraphLearner", {
   skip_if_not_installed("rpart")
 
-  po = po("proxy", param_vals = list(content = lrn("classif.rpart")))
+  po = po("proxy", content = lrn("classif.rpart"))
 
   glrn1 = GraphLearner$new(po)
 
@@ -167,7 +169,8 @@ test_that("PipeOp to GraphLearner", {
 
   expect_equal(r1, r3)
 
-  po_cv = po("learner_cv", learner = po, param_vals = list(resampling.method = "insample"))
+  po_cv = po("learner_cv", learner = po)
+  po_cv$param_set$set_values(.values = list(resampling.method = "insample"))
   expect_true("GraphLearner" %in% class(po_cv$learner))
 
   train_out = po_cv$train(list(task))
diff --git a/tests/testthat/test_dictionary.R b/tests/testthat/test_dictionary.R
index bdba692c9..7df3d37f1 100644
--- a/tests/testthat/test_dictionary.R
+++ b/tests/testthat/test_dictionary.R
@@ -11,6 +11,7 @@ test_that("Dictionary contains all PipeOps", {
   inflate = function(x) {
     x$label
     x$param_set$values$content$label
+    lapply(as.list(x$.__enclos_env__$private, all.names = TRUE), function(x) if (inherits(x, "Mlr3Component")) inflate(x))
     x
   }
 
@@ -89,9 +90,10 @@ test_that("Dictionary contains all PipeOps", {
     dictname = dictnames[idx]  # the "key" in the mlr_pipeops dictionary
     args = initargs[[pipeops[idx]]] %??% list()  # the required arguments, if any. e.g. 'outnum' for PipeOpCopy.
 
-    test_obj = do.call(pogen$new, args)  # test_obj: PipeOp object, constructed from constructor
-
-
+    test_obj = do.call(pogen$new, args[names(args) != "param_vals"])  # test_obj: PipeOp object, constructed from constructor
+    if ("param_vals" %in% names(args)) {
+      test_obj$param_set$set_values(.values = args$param_vals)
+    }
 
     # check that mlr_pipeops key is the default ID
     if (pipeops[idx] %nin% unequal_id) {
@@ -99,7 +101,11 @@ test_that("Dictionary contains all PipeOps", {
     }
 
     # check that mlr_pipeops$get() gives the same object as PipeOpXXX$new() does
-    other_obj = do.call(mlr_pipeops$get, c(list(dictname), args))
+    other_obj = do.call(mlr_pipeops$get, c(list(dictname), args[names(args) != "param_vals"]))
+    if ("param_vals" %in% names(args)) {
+      other_obj$param_set$set_values(.values = args$param_vals)
+    }
+
     expect_equal(other_obj, test_obj, info = paste(dictname, "$new test"))
     if (!dictname %in% pval_unhashable) {
       expect_equal(other_obj$hash, test_obj$hash, info = paste(dictname, "$new test"))
@@ -108,19 +114,30 @@ test_that("Dictionary contains all PipeOps", {
 
     # check that ID can be changed
     args$id = "TESTID"
-    other_obj = do.call(mlr_pipeops$get, c(list(dictname), args))
+    other_obj = do.call(mlr_pipeops$get, c(list(dictname), args[names(args) != "param_vals"]))
+    if ("param_vals" %in% names(args)) {
+      other_obj$param_set$set_values(.values = args$param_vals)
+    }
+
     expect_false(isTRUE(all.equal(other_obj, test_obj)), info = paste(dictname, "$new id test"))
     expect_false(isTRUE(all.equal(other_obj$hash, test_obj$hash)), info = paste(dictname, "$new id test"))
     expect_false(isTRUE(all.equal(other_obj$phash, test_obj$phash)), info = paste(dictname, "$new id test"))
     test_obj$id = "TESTID"
-    other_obj = inflate(do.call(mlr_pipeops$get, c(list(dictname), args)))
+    other_obj = inflate(do.call(mlr_pipeops$get, c(list(dictname), args[names(args) != "param_vals"])))
+    if ("param_vals" %in% names(args)) {
+      other_obj$param_set$set_values(.values = args$param_vals)
+    }
+
     expect_equal(other_obj, test_obj, info = paste(dictname, "$new id test 2"))
     if (!dictname %in% pval_unhashable) {
       expect_equal(other_obj$hash, test_obj$hash, info = paste(dictname, "$new id test 2"))
     }
     expect_equal(other_obj$phash, test_obj$phash, info = paste(dictname, "$new id test 2"))
-    expect_equal(inflate(do.call(pogen$new, args)), test_obj, info = dictname)
-
+    other_obj = inflate(do.call(pogen$new, args[names(args) != "param_vals"]))
+    if ("param_vals" %in% names(args)) {
+      other_obj$param_set$set_values(.values = args$param_vals)
+    }
+    expect_equal(other_obj, test_obj, info = dictname)
 
     tops = test_obj$param_set
     # we now check if hyperparameters can be changed through construction
@@ -150,13 +167,16 @@ test_that("Dictionary contains all PipeOps", {
       val = setdiff(candidates, origval)[1]
 
       # construct the `param_vals = list(PARNAME = PARVAL)` construction argument
-      args$param_vals = list(val)
-      names(args$param_vals) = testingparam
+      parvals = list(val)
+      names(parvals) = testingparam
+      parvals = insert_named(args$param_vals, parvals)
 
       # check that the constructed object is different from the test_obj, but setting the test_obj's parameter
       # makes them equal again.
-      dict_constructed = do.call(mlr_pipeops$get, c(list(dictname), args))
-      gen_constructed = do.call(pogen$new, args)
+      dict_constructed = do.call(mlr_pipeops$get, c(list(dictname), args[names(args) != "param_vals"]))
+      dict_constructed$param_set$set_values(.values = parvals)
+      gen_constructed = do.call(pogen$new, args[names(args) != "param_vals"])
+      gen_constructed$param_set$set_values(.values = parvals)
       expect_false(isTRUE(all.equal(dict_constructed, test_obj)), dictname)
       expect_false(isTRUE(all.equal(dict_constructed$hash, test_obj$hash)), dictname)
       # phash should be independent of this!
@@ -172,7 +192,7 @@ test_that("Dictionary contains all PipeOps", {
 
     # $label can be retrieved
     expect_string(test_obj$label)
-    help_metainfo = paste(capture.output(print(str(test_obj$help()))), sep = "\n")
+    help_metainfo = paste(capture.output(print(str(test_obj$help()))), collapse = "\n")
     expect_false(grepl("^LABEL COULD NOT BE RETRIEVED$", test_obj$label), info = paste(dictname, help_metainfo, sep = "\n"))
 
     if (identical(help, utils::help)) {  # different behaviour if pkgload / devtools are doing help vs. vanilla R help()
diff --git a/tests/testthat/test_doublearrow.R b/tests/testthat/test_doublearrow.R
index 2e142d84c..339703125 100644
--- a/tests/testthat/test_doublearrow.R
+++ b/tests/testthat/test_doublearrow.R
@@ -1,13 +1,13 @@
 context("double-arrow")
 
 test_that("Simple ops do what we expect", {
-  p1 = PipeOpNOP$new("p1")
-  p2 = PipeOpNOP$new("p2")
-  p3 = PipeOpNOP$new("p3")
-  p4 = PipeOpNOP$new("p4")
-  p5 = PipeOpNOP$new("p5")
-  p6 = PipeOpNOP$new("p6")
-  p7 = PipeOpNOP$new("p7")
+  p1 = po("nop", id = "p1")
+  p2 = po("nop", id = "p2")
+  p3 = po("nop", id = "p3")
+  p4 = po("nop", id = "p4")
+  p5 = po("nop", id = "p5")
+  p6 = po("nop", id = "p6")
+  p7 = po("nop", id = "p7")
 
   g = p1 %>>% p2 %>>% p3
   expect_class(g, "Graph")
@@ -51,11 +51,11 @@ test_that("Simple ops do what we expect", {
 })
 
 test_that("operations make deep copies", {
-  p1 = PipeOpNOP$new("p1")
-  p2 = PipeOpNOP$new("p2")
+  p1 = po("nop", id = "p1")
+  p2 = po("nop", id = "p2")
 
-  g3 = Graph$new()$add_pipeop(PipeOpNOP$new("p3"))
-  g4 = Graph$new()$add_pipeop(PipeOpNOP$new("p4"))
+  g3 = Graph$new()$add_pipeop(po("nop", id = "p3"))
+  g4 = Graph$new()$add_pipeop(po("nop", id = "p4"))
 
   g = p1 %>>% p2
   expect_deep_clone(g$pipeops$p1, p1)
@@ -67,7 +67,7 @@ test_that("operations make deep copies", {
 })
 
 test_that("neutral elements", {
-  p = PipeOpNOP$new("p1")
+  p = po("nop", id = "p1")
   g1 = p %>>% NULL
   expect_graph(g1)
   expect_true((length(g1$pipeops) == 1L) && (names(g1$pipeops) == "p1"))
@@ -77,9 +77,9 @@ test_that("neutral elements", {
 
 test_that("triple-arrow", {
 
-  p1 = PipeOpNOP$new("p1")
-  p2 = PipeOpNOP$new("p2")
-  p3 = PipeOpNOP$new("p3")
+  p1 = po("nop", id = "p1")
+  p2 = po("nop", id = "p2")
+  p3 = po("nop", id = "p3")
 
   gr = as_graph(p1)
 
@@ -145,14 +145,14 @@ test_that("triple-arrow", {
 
   gr = p1 %>>!% p2graph1
 
-  expect_deep_clone(p1, PipeOpNOP$new("p1"))
+  expect_deep_clone(p1, po("nop", id = "p1"))
   expect_deep_clone(p2graph1, as_graph(p2))
   expect_deep_clone(gr, p1 %>>% p2)
 
 
   gr = chain_graphs(list(p1, p2graph1), in_place = TRUE)
 
-  expect_deep_clone(p1, PipeOpNOP$new("p1"))
+  expect_deep_clone(p1, po("nop", id = "p1"))
   expect_deep_clone(p2graph1, as_graph(p2))
   expect_deep_clone(gr, p1 %>>% p2)
 
diff --git a/tests/testthat/test_gunion.R b/tests/testthat/test_gunion.R
index f80b3a104..7ae2086e7 100644
--- a/tests/testthat/test_gunion.R
+++ b/tests/testthat/test_gunion.R
@@ -1,14 +1,14 @@
 context("gunion")
 
 test_that("gunion", {
-  g1 = PipeOpPCA$new() %>>% PipeOpScale$new(param_vals = list(scale = FALSE))
-  g2 = PipeOpPCA$new(id = "pca2") %>>% PipeOpPCA$new(id = "xx")
-  g3 = PipeOpScale$new(id = "blub") %>>% PipeOpScale$new(id = "foo")
+  g1 = po("pca") %>>% po("scale", scale = FALSE)
+  g2 = po("pca", id = "pca2") %>>% po("pca", id = "xx")
+  g3 = po("scale", id = "blub") %>>% po("scale", id = "foo")
   g4 = gunion(list(g1, g2, g3))
   expect_graph(g4)
   expect_set_equal(g4$ids(), c("pca", "pca2", "scale", "xx", "blub", "foo"))
 
-  expect_deep_clone(g1, PipeOpPCA$new() %>>% PipeOpScale$new(param_vals = list(scale = FALSE)))
+  expect_deep_clone(g1, po("pca") %>>% po("scale", scale = FALSE))
 
   params = g4$param_set$params
 
@@ -21,16 +21,16 @@ test_that("gunion", {
   expect_deep_clone(params, g4_2$param_set$params)
 
 
-  g0 = PipeOpNOP$new()
+  g0 = po("nop")
   g4 = gunion(list(g0, g2, g3))
 
   expect_set_equal(g4$ids(), c("nop", "pca2", "xx", "blub", "foo"))
 
-  expect_deep_clone(g0, PipeOpNOP$new())
+  expect_deep_clone(g0, po("nop"))
 
   g4_2 = gunion(list(g0, g2, g3), in_place = TRUE)
 
-  expect_deep_clone(g0, PipeOpNOP$new())
+  expect_deep_clone(g0, po("nop"))
   expect_deep_clone(touch(g4_2), touch(g4))
 
 
@@ -65,9 +65,9 @@ test_that("named gunion", {
   expect_equal(
     touch(gunion(list(a = po("scale"), b = po("pca"), po("subsample")))),
     touch(Graph$new()$
-      add_pipeop(PipeOpScale$new(id = "a.scale"))$
-      add_pipeop(PipeOpPCA$new(id = "b.pca"))$
-      add_pipeop(PipeOpSubsample$new()))
+      add_pipeop(po("scale", id = "a.scale"))$
+      add_pipeop(po("pca", id = "b.pca"))$
+      add_pipeop(po("subsample")))
   )
 
   expect_equal(
@@ -103,8 +103,8 @@ test_that("named gunion", {
 
   expect_equal(gg,
     Graph$new()$
-    add_pipeop(po("nop", id = "op1"))$
-    add_pipeop(po("scale", id = "op2"))
+      add_pipeop(po("nop", id = "op1"))$
+      add_pipeop(po("scale", id = "op2"))
   )
 
 
diff --git a/tests/testthat/test_mlr_graphs_branching.R b/tests/testthat/test_mlr_graphs_branching.R
index e76a55473..9700aa51e 100644
--- a/tests/testthat/test_mlr_graphs_branching.R
+++ b/tests/testthat/test_mlr_graphs_branching.R
@@ -24,15 +24,15 @@ test_that("Branching Pipeline", {
 
 test_that("Branching Pipeline extended tests", {
   skip_on_cran()  # takes too long
-  po1 = PipeOpScale$new()
-  po2 = PipeOpScale$new("scale2")
-  po3 = PipeOpPCA$new()
-  po4 = PipeOpSubsample$new()
+  po1 = po("scale")
+  po2 = po("scale", id = "scale2")
+  po3 = po("pca")
+  po4 = po("subsample")
 
-  pofu = PipeOpFeatureUnion$new(2)
-  pofu2 = PipeOpFeatureUnion$new(3)
+  pofu = po("featureunion", 2)
+  pofu2 = po("featureunion", 3)
 
-  poco = PipeOpCopy$new(2)
+  poco = po("copy", 2)
 
   # bring graphs into comparable form: sort $pipeops
   canonical = function(graph) {
@@ -47,31 +47,31 @@ test_that("Branching Pipeline extended tests", {
   # single input/output
   expect_graph_equal(
     pipeline_branch(list(po1, po2)),
-    PipeOpBranch$new(2) %>>% gunion(list(po1, po2)) %>>% PipeOpUnbranch$new(2)
+    po("branch", 2) %>>% gunion(list(po1, po2)) %>>% po("unbranch", 2)
   )
 
   # single input/output, named
   expect_graph_equal(
     pipeline_branch(list(a = po1, b = po2)),
-    PipeOpBranch$new(c("a", "b")) %>>% gunion(list(po1, po2)) %>>% PipeOpUnbranch$new(c("a", "b"))
+    po("branch", c("a", "b")) %>>% gunion(list(po1, po2)) %>>% po("unbranch", c("a", "b"))
   )
 
   # single input/output, using .graph
   expect_graph_equal(
     pipeline_branch(graphs = list(po1, po2)),
-    PipeOpBranch$new(2) %>>% gunion(list(po1, po2)) %>>% PipeOpUnbranch$new(2)
+    po("branch", 2) %>>% gunion(list(po1, po2)) %>>% po("unbranch", 2)
   )
 
   ## # single input/output, using both .graph and argument
   ## expect_graph_equal(
   ##   pipeline_branch(po1, .graphs = list(po2)),
-  ##   PipeOpBranch$new(2) %>>% gunion(list(po1, po2)) %>>% PipeOpUnbranch$new(2)
+  ##   po("branch", 2) %>>% gunion(list(po1, po2)) %>>% po("unbranch", 2)
   ## )
 
   ## # single input/output, using both .graph and argument, named
   ## expect_graph_equal(
   ##   pipeline_branch(a = po1, .graphs = list(b = po2)),
-  ##   PipeOpBranch$new(c("a", "b")) %>>% gunion(list(po1, po2)) %>>% PipeOpUnbranch$new(c("a", "b"))
+  ##   po("branch", c("a", "b")) %>>% gunion(list(po1, po2)) %>>% po("unbranch", c("a", "b"))
   ## )
 
   ## # error if some args named, some not named
@@ -80,39 +80,39 @@ test_that("Branching Pipeline extended tests", {
   # prefix branch operations
   expect_graph_equal(
     pipeline_branch(list(po1, po2), prefix_branchops = "xy_"),
-    PipeOpBranch$new(2, id = "xy_branch") %>>% gunion(list(po1, po2)) %>>% PipeOpUnbranch$new(2, id = "xy_unbranch")
+    po("branch", 2, id = "xy_branch") %>>% gunion(list(po1, po2)) %>>% po("unbranch", 2, id = "xy_unbranch")
   )
 
   # prefix branch operations, named
   expect_graph_equal(
     pipeline_branch(list(a = po1, b = po2), prefix_branchops = "xy_"),
-    PipeOpBranch$new(c("a", "b"), id = "xy_branch") %>>%
-      gunion(list(po1, po2)) %>>% PipeOpUnbranch$new(c("a", "b"), id = "xy_unbranch")
+    po("branch", c("a", "b"), id = "xy_branch") %>>%
+      gunion(list(po1, po2)) %>>% po("unbranch", c("a", "b"), id = "xy_unbranch")
   )
 
   # prefix branch operations and paths
   expect_graph_equal(
     pipeline_branch(list(po1, po2), prefix_branchops = "xy_", prefix_paths = TRUE),
-    PipeOpBranch$new(2, id = "xy_branch") %>>%
-      gunion(list(po1 = po1, po2 = po2)) %>>% PipeOpUnbranch$new(2, id = "xy_unbranch")
+    po("branch", 2, id = "xy_branch") %>>%
+      gunion(list(po1 = po1, po2 = po2)) %>>% po("unbranch", 2, id = "xy_unbranch")
   )
 
   # prefix branch operations and paths, named
   expect_graph_equal(
     pipeline_branch(list(a = po1, b = po2), prefix_branchops = "xy_", prefix_paths = TRUE),
-    PipeOpBranch$new(c("a", "b"), id = "xy_branch") %>>%
-      gunion(list(a = po1, b = po2)) %>>% PipeOpUnbranch$new(c("a", "b"), id = "xy_unbranch")
+    po("branch", c("a", "b"), id = "xy_branch") %>>%
+      gunion(list(a = po1, b = po2)) %>>% po("unbranch", c("a", "b"), id = "xy_unbranch")
   )
 
   # more than one input
   expect_graph_equal(
     pipeline_branch(list(gunion(list(po1, po3)) %>>% pofu, po2)),
     gunion(list(
-        PipeOpBranch$new(2),
+        po("branch", 2),
         gunion(list(
             gunion(list(po1, po3)) %>>% pofu,
             po2)) %>>%
-          PipeOpUnbranch$new(2)))$
+          po("unbranch", 2)))$
       add_edge("branch", "scale", src_channel = "output1")$
       add_edge("branch", "pca", src_channel = "output1")$
       add_edge("branch", "scale2", src_channel = "output2")
@@ -122,12 +122,12 @@ test_that("Branching Pipeline extended tests", {
   expect_graph_equal(
     pipeline_branch(list(b = po2, a = gunion(list(po1, po3)) %>>% pofu)),
     gunion(list(
-      PipeOpBranch$new(c("b", "a")),
+      po("branch", c("b", "a")),
       gunion(list(
         po2,
         gunion(list(po1, po3)) %>>% pofu
       )) %>>%
-        PipeOpUnbranch$new(c("b", "a"))))$
+        po("unbranch", c("b", "a"))))$
       add_edge("branch", "scale", src_channel = "a")$
       add_edge("branch", "pca", src_channel = "a")$
       add_edge("branch", "scale2", src_channel = "b")
@@ -141,12 +141,12 @@ test_that("Branching Pipeline extended tests", {
   expect_graph_equal(
     pipeline_branch(list(a = gunion(list(po1, po3)) %>>% pofu, b = pofu2), prefix_branchops = "xy_", prefix_paths = TRUE),
     gunion(list(
-      PipeOpBranch$new(c("a", "b"), id = "xy_branch"),
+      po("branch", c("a", "b"), id = "xy_branch"),
       gunion(list(
         a = gunion(list(po1, po3)) %>>% pofu,
         b = pofu2
       )) %>>%
-        PipeOpUnbranch$new(c("a", "b"), id = "xy_unbranch")))$
+        po("unbranch", c("a", "b"), id = "xy_unbranch")))$
       add_edge("xy_branch", "a.scale", src_channel = "a")$
       add_edge("xy_branch", "a.pca", src_channel = "a")$
       add_edge("xy_branch", "b.featureunion", src_channel = "b", dst_channel = "input1")$
diff --git a/tests/testthat/test_mlr_graphs_robustify.R b/tests/testthat/test_mlr_graphs_robustify.R
index f4b07a7ab..18bca27eb 100644
--- a/tests/testthat/test_mlr_graphs_robustify.R
+++ b/tests/testthat/test_mlr_graphs_robustify.R
@@ -32,7 +32,7 @@ test_that("Robustify Pipeline", {
   expect_true("encode" %in% names(p$pipeops))
 
   # missing fcts, assuming rpart can not do missings
-  lrn$properties = c("multiclass", "twoclass")
+  lrn$.__enclos_env__$private$.properties = c("multiclass", "twoclass")
   dt =  data.table("fct2" = factor(rep_len(c(letters[1:3], NA), tsk$nrow)))
   tsk$cbind(dt)
   p = ppl("robustify", task = tsk, learner = lrn) %>>% po(lrn)
@@ -108,7 +108,7 @@ test_that("Robustify Pipeline Impute Missings", {
 
   lmissings = lrn("classif.rpart")
   lnomissings = lrn("classif.rpart")
-  lnomissings$properties = setdiff(lnomissings$properties, "missings")
+  lnomissings$.__enclos_env__$private$.properties = setdiff(lnomissings$properties, "missings")
 
   micols = tmissings$missings()[tmissings$missings() != 0]
   names(micols) = paste0("missing_", names(micols))
diff --git a/tests/testthat/test_mlr_graphs_targettrafo.R b/tests/testthat/test_mlr_graphs_targettrafo.R
index 9ddd32f95..53c5bbdcb 100644
--- a/tests/testthat/test_mlr_graphs_targettrafo.R
+++ b/tests/testthat/test_mlr_graphs_targettrafo.R
@@ -11,10 +11,9 @@ test_that("Target Trafo Pipeline", {
   expect_true(length(tt$pipeops) == 1 + 1 + 1)
 
   g = Graph$new()
-  g$add_pipeop(PipeOpTargetMutate$new(param_vals = list(
+  g$add_pipeop(PipeOpTargetMutate$new()$configure(
     trafo = function(x) log(x, base = 2),
     inverter = function(x) list(response = 2 ^ x$response))
-    )
   )
   g$add_pipeop(LearnerRegrRpart$new())
   g$add_pipeop(PipeOpTargetInvert$new())
diff --git a/tests/testthat/test_multichannels.R b/tests/testthat/test_multichannels.R
index f0a1a0730..9420870c9 100644
--- a/tests/testthat/test_multichannels.R
+++ b/tests/testthat/test_multichannels.R
@@ -58,8 +58,9 @@ test_that("multiple edges on output channel copies, as expected", {
   expect_identical(tsk0, tsk2)
 
   graph = po("nop") %>>% gunion(list(
-    mlr_pipeops$get("scale", id = "s1", param_vals = list(scale = TRUE, center = FALSE)),
-    mlr_pipeops$get("scale", id = "s2", param_vals = list(scale = FALSE, center = TRUE))))
+    po("scale", id = "s1", scale = TRUE, center = FALSE),
+    po("scale", id = "s2", scale = FALSE, center = TRUE)
+  ))
 
   tmp = graph$train(tsk0)
 
@@ -144,14 +145,14 @@ test_that("doublearrow with many output to vararg input works as expected", {
 
 test_that("vararg passes args through as it should", {
 
-  nullgraph = gunion(list(mlr_pipeops$get("nop", id = "nop1"), mlr_pipeops$get("nop", id = "nop2"))) %>>% VarargPipeop$new()
+  nullgraph = gunion(list(po("nop", id = "nop1"), po("nop", id = "nop2"))) %>>% VarargPipeop$new()
 
   expect_equal(nullgraph$train(1)[[1]], list(`...` = 1, `...` = 1))
 
   graph = gunion(list(
-    mlr_pipeops$get("scale", id = "s1", param_vals = list(scale = TRUE, center = FALSE)),
-    mlr_pipeops$get("scale", id = "s2", param_vals = list(scale = FALSE, center = TRUE)))) %>>%
-    VarargPipeop$new()
+    po("scale", id = "s1", scale = TRUE, center = FALSE),
+    po("scale", id = "s2", scale = FALSE, center = TRUE)
+  )) %>>% VarargPipeop$new()
 
   tsk0 = tsk1 = mlr_tasks$get("iris")
   tsk_clone = tsk0$clone(deep = TRUE)
diff --git a/tests/testthat/test_pipeop_adas.R b/tests/testthat/test_pipeop_adas.R
index 438c670c9..3d1c2809a 100644
--- a/tests/testthat/test_pipeop_adas.R
+++ b/tests/testthat/test_pipeop_adas.R
@@ -11,7 +11,7 @@ test_that("PipeOpADAS - basic properties", {
 test_that("PipeOpADAS - train works as intended", {
   skip_if_not_installed("smotefamily")
 
-  op = PipeOpADAS$new()
+  op = po("adas")
 
   set.seed(1234L)
   df = data.frame(
@@ -59,7 +59,7 @@ test_that("PipeOpADAS - train works as intended", {
 test_that("PipeOpADAS - handling of feature named 'class'", {
   skip_if_not_installed("smotefamily")
 
-  op = PipeOpADAS$new()
+  op = po("adas")
 
   set.seed(1234L)
   df = data.frame(
diff --git a/tests/testthat/test_pipeop_blsmote.R b/tests/testthat/test_pipeop_blsmote.R
index a29a5a093..fde20c6ba 100644
--- a/tests/testthat/test_pipeop_blsmote.R
+++ b/tests/testthat/test_pipeop_blsmote.R
@@ -11,7 +11,7 @@ test_that("PipeOpBLSmote - basic properties", {
 test_that("PipeOpBLSmote - train works as intended", {
   skip_if_not_installed("smotefamily")
 
-  op = PipeOpBLSmote$new()
+  op = po("blsmote")
 
   set.seed(1234)
   df = smotefamily::sample_generator(500, 0.8)
@@ -74,7 +74,7 @@ test_that("PipeOpBLSmote - train works as intended", {
 test_that("PipeOpBLSmote - handling of feature named 'class'", {
   skip_if_not_installed("smotefamily")
 
-  op = PipeOpBLSmote$new()
+  op = po("blsmote")
 
   set.seed(1234)
   df = smotefamily::sample_generator(500, 0.8)
diff --git a/tests/testthat/test_pipeop_boxcox.R b/tests/testthat/test_pipeop_boxcox.R
index cb24cd5a3..118411db0 100644
--- a/tests/testthat/test_pipeop_boxcox.R
+++ b/tests/testthat/test_pipeop_boxcox.R
@@ -10,7 +10,7 @@ test_that("PipeOpBoxCox - general functionality", {
 test_that("PipeOpBoxCox - receive expected result", {
   skip_if_not_installed("bestNormalize")
   task = mlr_tasks$get("iris")
-  op = PipeOpBoxCox$new(param_vals = list(standardize = FALSE))
+  op = po("boxcox", standardize = FALSE)
   result = train_pipeop(op, inputs = list(task))
   result.pred = predict_pipeop(op, inputs = list(task))
 
@@ -23,7 +23,7 @@ test_that("PipeOpBoxCox - receive expected result", {
   expect_equal(x.trans, result.pred[[1]]$data()[[2]])
 
   # Set lower and upper value for lambda estimation
-  op = PipeOpBoxCox$new(param_vals = list(upper = 0.5, lower = 0))
+  op = po("boxcox", upper = 0.5, lower = 0)
   result = train_pipeop(op, inputs = list(task))
   lambda.new = unlist(lapply(op$state$bc[1:4], function(x) x$lambda))
   expect_true(all(lambda.new <= 0.5 & lambda.new >= 0))
diff --git a/tests/testthat/test_pipeop_colapply.R b/tests/testthat/test_pipeop_colapply.R
index 1d8f2e4ee..af2affc96 100644
--- a/tests/testthat/test_pipeop_colapply.R
+++ b/tests/testthat/test_pipeop_colapply.R
@@ -7,10 +7,10 @@ test_that("apply general tests", {
 
   task = mlr_tasks$get("iris")
   expect_datapreproc_pipeop_class(PipeOpColApply, task = task,
-    constargs = list(param_vals = list(applicator = as.character)))
+    constargs = list(), param_vals = list(applicator = as.character))
 
   expect_datapreproc_pipeop_class(PipeOpColApply, task = mlr_tasks$get("pima"),
-    constargs = list(param_vals = list(applicator = as.numeric)))
+    constargs = list(), param_vals = list(applicator = as.numeric))
 
 })
 
diff --git a/tests/testthat/test_pipeop_collapsefactors.R b/tests/testthat/test_pipeop_collapsefactors.R
index d7a75b1ae..dee1eb9d2 100644
--- a/tests/testthat/test_pipeop_collapsefactors.R
+++ b/tests/testthat/test_pipeop_collapsefactors.R
@@ -7,7 +7,7 @@ test_that("PipeOpCollapseFactors - basic properties", {
 })
 
 test_that("PipeOpCollapseFactors - train and predict work", {
-  op = PipeOpCollapseFactors$new()
+  op = po("collapsefactors")
   df = data.frame(
     target = runif(100),
     fct = factor(rep(LETTERS[1:6], times = c(25, 30, 5, 15, 5, 20))),
diff --git a/tests/testthat/test_pipeop_colroles.R b/tests/testthat/test_pipeop_colroles.R
index 68bca738b..5ccd79734 100644
--- a/tests/testthat/test_pipeop_colroles.R
+++ b/tests/testthat/test_pipeop_colroles.R
@@ -1,34 +1,34 @@
 context("PipeOpColRoles")
 
 test_that("PipeOpColRoles - basic properties", {
-  op = PipeOpColRoles$new()
+  op = po("colroles")
   task = mlr_tasks$get("iris")
   expect_datapreproc_pipeop_class(PipeOpColRoles, task = task)
 })
 
 test_that("PipeOpColRoles - assertions on params work", {
 
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role = "wrong")), regexp = "list")
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role = list(a = "wrong", b = NA))), regexp = "character,null")
-  expect_no_error(PipeOpColRoles$new(param_vals = list(new_role = list(a = NULL))))
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role = list(a = "wrong"))), regexp = "subset")
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role = list(a = "target"))), regexp = "subset")
+  expect_error(po("colroles", new_role = "wrong"), regexp = "list")
+  expect_error(po("colroles", new_role = list(a = "wrong", b = NA)), regexp = "character,null")
+  expect_no_error(po("colroles", new_role = list(a = NULL)))
+  expect_error(po("colroles", new_role = list(a = "wrong")), regexp = "subset")
+  expect_error(po("colroles", new_role = list(a = "target")), regexp = "subset")
 
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role = list(a = "group", b = "group"))), regexp = "up to one column per role")
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role = list(a = "weight", b = "weight"))), regexp = "up to one column per role")
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role = list(a = "name", b = "name"))), regexp = "up to one column per role")
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role = list(a = c("group", "name"), b = c("group", "name")))), regexp = "up to one column per role.*?\"group\", \"name\"")
+  expect_error(po("colroles", new_role = list(a = "group", b = "group")), regexp = "up to one column per role")
+  expect_error(po("colroles", new_role = list(a = "weight", b = "weight")), regexp = "up to one column per role")
+  expect_error(po("colroles", new_role = list(a = "name", b = "name")), regexp = "up to one column per role")
+  expect_error(po("colroles", new_role = list(a = c("group", "name"), b = c("group", "name"))), regexp = "up to one column per role.*?\"group\", \"name\"")
 
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role_direct = "wrong")), regexp = "list")
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role_direct = list(wrong = "x", feature = NA))), regexp = "character,null")
-  expect_no_error(PipeOpColRoles$new(param_vals = list(new_role = list(feature = NULL))))
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role_direct = list(wrong = "x"))), regexp = "subset")
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role_direct = list(target = "y"))), regexp = "subset")
+  expect_error(po("colroles", new_role_direct = "wrong"), regexp = "list")
+  expect_error(po("colroles", new_role_direct = list(wrong = "x", feature = NA)), regexp = "character,null")
+  expect_no_error(po("colroles", new_role = list(feature = NULL)))
+  expect_error(po("colroles", new_role_direct = list(wrong = "x")), regexp = "subset")
+  expect_error(po("colroles", new_role_direct = list(target = "y")), regexp = "subset")
 
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role_direct = list(group = c("x", "y")))), regexp = "up to one column per role")
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role_direct = list(weight = c("x", "y")))), regexp = "up to one column per role")
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role_direct = list(name = c("x", "y")))), regexp = "up to one column per role")
-  expect_error(PipeOpColRoles$new(param_vals = list(new_role_direct = list(group = c("x", "y"), name = c("x", "y")))), regexp = "up to one column per role.*?\"group\", \"name\"")
+  expect_error(po("colroles", new_role_direct = list(group = c("x", "y"))), regexp = "up to one column per role")
+  expect_error(po("colroles", new_role_direct = list(weight = c("x", "y"))), regexp = "up to one column per role")
+  expect_error(po("colroles", new_role_direct = list(name = c("x", "y"))), regexp = "up to one column per role")
+  expect_error(po("colroles", new_role_direct = list(group = c("x", "y"), name = c("x", "y"))), regexp = "up to one column per role.*?\"group\", \"name\"")
 
 })
 
@@ -37,10 +37,10 @@ test_that("PipeOpColRoles - only existing columns are accepted", {
   task = mlr_tasks$get("iris")
   task$cbind(data.table(rn = sprintf("%03d", 1:150)))
 
-  op = PipeOpColRoles$new(param_vals = list(new_role = list(rn = "name", wrong = "feature")))
+  op = po("colroles", new_role = list(rn = "name", wrong = "feature"))
   expect_error(train_pipeop(op, inputs = list(task)), regexp = "subset")
 
-  op = PipeOpColRoles$new(param_vals = list(new_role_direct = list(name = "rn", feature = "wrong")))
+  op = po("colroles", new_role_direct = list(name = "rn", feature = "wrong"))
   expect_error(train_pipeop(op, inputs = list(task)), regexp = "subset")
 
 })
@@ -49,10 +49,10 @@ test_that("PipeOpColRoles - changing the role of a target fails", {
 
   task = mlr_tasks$get("iris")
 
-  op = PipeOpColRoles$new(param_vals = list(new_role = list(Species = "feature")))
+  op = po("colroles", new_role = list(Species = "feature"))
   expect_error(train_pipeop(op, inputs = list(task)), regexp = "role of a target")
 
-  op = PipeOpColRoles$new(param_vals = list(new_role_direct = list(feature = "Species")))
+  op = po("colroles", new_role_direct = list(feature = "Species"))
   expect_error(train_pipeop(op, inputs = list(task)), regexp = "role of a target")
 
 })
@@ -62,8 +62,8 @@ test_that("PipeOpColRoles - new_role works", {
   task = mlr_tasks$get("iris")
   task$cbind(data.table(rn = sprintf("%03d", 1:150)))
 
-  op = PipeOpColRoles$new(param_vals = list(new_role = list(
-    rn = "name", Petal.Length = c("feature", "order"), Petal.Width = character(0), Sepal.Width = NULL))
+  op = po("colroles", new_role = list(
+    rn = "name", Petal.Length = c("feature", "order"), Petal.Width = character(0), Sepal.Width = NULL)
   )
 
   train_out = train_pipeop(op, inputs = list(task))[[1L]]
@@ -92,8 +92,8 @@ test_that("PipeOpColRoles - new_role_direct works", {
   task$cbind(data.table(rn = sprintf("%03d", 1:150)))
   task$col_roles$group = "Species"
 
-  op = PipeOpColRoles$new(param_vals = list(new_role_direct = list(
-    name = "rn", order = c("Petal.Length", "Sepal.Length"), feature = character(0), group = NULL))
+  op = po("colroles", new_role_direct = list(
+    name = "rn", order = c("Petal.Length", "Sepal.Length"), feature = character(0), group = NULL)
   )
 
   train_out = train_pipeop(op, inputs = list(task))[[1L]]
diff --git a/tests/testthat/test_pipeop_copy.R b/tests/testthat/test_pipeop_copy.R
index d16fff61b..1f610b84d 100644
--- a/tests/testthat/test_pipeop_copy.R
+++ b/tests/testthat/test_pipeop_copy.R
@@ -6,7 +6,7 @@ test_that("PipeOpCopy - basic properties", {
   expect_pipeop_class(PipeOpCopy, list(3))
   expect_error(PipeOpCopy$new(0))
 
-  po = PipeOpCopy$new(3)
+  po = po("copy", outnum = 3)
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1)
   expect_data_table(po$output, nrows = 3)
@@ -14,7 +14,7 @@ test_that("PipeOpCopy - basic properties", {
 
 
 test_that("PipeOpCopy - train and predict", {
-  copy = PipeOpCopy$new(2)
+  copy = po("copy", outnum = 2)
   task = mlr_tasks$get("iris")
 
   tout = train_pipeop(copy, list(task))
diff --git a/tests/testthat/test_pipeop_datefeatures.R b/tests/testthat/test_pipeop_datefeatures.R
index 6d19c4158..ae6debaca 100644
--- a/tests/testthat/test_pipeop_datefeatures.R
+++ b/tests/testthat/test_pipeop_datefeatures.R
@@ -6,7 +6,7 @@ test_that("PipeOpDateFeatures - basic properties", {
   dat$date = sample(seq(as.POSIXct("2020-01-31"), to = as.POSIXct("2020-03-01"), by = "sec"),
     size = 150L)
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new()
+  po = po("datefeatures")
   expect_datapreproc_pipeop_class(PipeOpDateFeatures, task = task)
 })
 
@@ -16,7 +16,7 @@ test_that("PipeOpDateFeatures - finds POSIXct column", {
   dat$date = sample(seq(as.POSIXct("2020-01-31"), to = as.POSIXct("2020-03-01"), by = "sec"),
     size = 150L)
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new()
+  po = po("datefeatures")
   train_pipeop(po, inputs = list(task))
 })
 
@@ -37,9 +37,9 @@ test_that("PipeOpDateFeatures - unaltered if no features specified", {
   dat$date = sample(seq(as.POSIXct("2020-01-31"), to = as.POSIXct("2020-03-01"), by = "sec"),
     size = 150L)
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new(param_vals = list(cyclic = TRUE, year = FALSE,
+  po = po("datefeatures", cyclic = TRUE, year = FALSE,
     month = FALSE, week_of_year = FALSE, day_of_year = FALSE, day_of_month = FALSE,
-    day_of_week = FALSE, hour = FALSE, minute = FALSE, second = FALSE, is_day = FALSE))
+    day_of_week = FALSE, hour = FALSE, minute = FALSE, second = FALSE, is_day = FALSE)
   train_pipeop(po, inputs = list(task))
   expect_identical(po$state$intasklayout, po$state$outtasklayout)
 })
@@ -50,7 +50,7 @@ test_that("PipeOpDateFeatures - correct basic features", {
   dat$date = sample(seq(as.POSIXct("2020-01-31"), to = as.POSIXct("2020-03-01"), by = "sec"),
     size = 150L)
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new()
+  po = po("datefeatures")
   trained_data = train_pipeop(po, inputs = list(task))$output$data()
   expect_true(all(trained_data$date.year == as.numeric(format(dat$date, "%Y"))))
   expect_true(all(trained_data$date.month == as.numeric(format(dat$date, "%m"))))
@@ -71,7 +71,7 @@ test_that("PipeOpDateFeatures - correct cyclic features", {
   dat$date = sample(seq(as.POSIXct("2020-02-01"), to = as.POSIXct("2020-02-29"), by = "sec"),
     size = 150L)
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new(param_vals = list(cyclic = TRUE))
+  po = po("datefeatures", cyclic = TRUE)
   trained_data = train_pipeop(po, inputs = list(task))$output$data()
 
   month = as.numeric(format(dat$date, "%m")) - 1L
@@ -113,8 +113,8 @@ test_that("PipeOpDateFeatures - feature selection works", {
   dat$date = sample(seq(as.POSIXct("2020-01-31"), to = as.POSIXct("2020-03-01"), by = "sec"),
     size = 150L)
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new(param_vals = list(cyclic = TRUE, year = FALSE,
-    second = FALSE))
+  po = po("datefeatures", cyclic = TRUE, year = FALSE,
+    second = FALSE)
   expect_identical(train_pipeop(po, inputs = list(task))$output$feature_names,
     c("Petal.Length", "Petal.Width", "Sepal.Length", "Sepal.Width",
       paste0("date.",
@@ -135,7 +135,7 @@ test_that("PipeOpDateFeatures - keep_date_var works", {
   dat$date = sample(seq(as.POSIXct("2020-01-31"), to = as.POSIXct("2020-03-01"), by = "sec"),
     size = 150L)
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new(param_vals = list(keep_date_var = TRUE))
+  po = po("datefeatures", keep_date_var = TRUE)
   expect_true("date" %in% train_pipeop(po, inputs = list(task))$output$feature_names)
 })
 
@@ -146,7 +146,7 @@ test_that("PipeOpDateFeatures - automatic NA handling", {
     size = 150L)
   dat$date[1L] = NA
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new(param_vals = list(cyclic = TRUE))
+  po = po("datefeatures", cyclic = TRUE)
   output = train_pipeop(po, inputs = list(task))$output
   expect_true(all(is.na(output$data(rows = 1L, cols = output$feature_names[- (1L:4L)]))))
 })
@@ -155,7 +155,7 @@ test_that("PipeOpDateFeatures - constant dates", {
   dat = iris
   dat$date = as.POSIXct("2020-01-31")
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new(param_vals = list(cyclic = TRUE))
+  po = po("datefeatures", cyclic = TRUE)
   output = train_pipeop(po, inputs = list(task))$output
   expect_true(all(apply(output$data(cols = output$feature_names[- (1L:4L)]), 2, duplicated)[-1L, ]))
 })
@@ -166,7 +166,7 @@ test_that("PipeOpDateFeatures - no year but day_of_year and day_of_month", {
   dat$date = sample(seq(as.POSIXct("2020-01-31"), to = as.POSIXct("2020-03-01"), by = "sec"),
     size = 150L)
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new(param_vals = list(cyclic = TRUE, year = FALSE))
+  po = po("datefeatures", cyclic = TRUE, year = FALSE)
   expect_true("date.year" %nin% train_pipeop(po, inputs = list(task))$output$feature_names)
 })
 
@@ -176,7 +176,7 @@ test_that("PipeOpDateFeatures - only year and cyclic", {
   dat$date = sample(seq(as.POSIXct("2020-01-31"), to = as.POSIXct("2020-03-01"), by = "sec"),
     size = 150L)
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new()
+  po = po("datefeatures")
   po$param_set$values$month = TRUE
   po$param_set$values$month = FALSE
   po$param_set$values$week_of_year = FALSE
@@ -198,7 +198,7 @@ test_that("PipeOpDateFeatures - two POSIXct variables", {
   dat$date2 = sample(seq(as.POSIXct("2020-02-29"), to = as.POSIXct("2020-04-01"), by = "sec"),
     size = 150L)
   task = TaskClassif$new("iris_date", backend = dat, target = "Species")
-  po = PipeOpDateFeatures$new(param_vals = list(keep_date_var = TRUE, cyclic = TRUE))
+  po = po("datefeatures", keep_date_var = TRUE, cyclic = TRUE)
   expect_identical(train_pipeop(po, inputs = list(task))$output$feature_names,
     c("Petal.Length", "Petal.Width", "Sepal.Length", "Sepal.Width", "date1", "date2",
       c(paste0(rep(c("date1.", "date2."), each = 10L),
diff --git a/tests/testthat/test_pipeop_decode.R b/tests/testthat/test_pipeop_decode.R
index bea1591a1..f340818b0 100644
--- a/tests/testthat/test_pipeop_decode.R
+++ b/tests/testthat/test_pipeop_decode.R
@@ -15,7 +15,7 @@ test_that("PipeOpDecode - basic properties", {
 })
 
 test_that("PipeOpDecode - one-hot-encoding", {
-  op = PipeOpDecode$new()
+  op = po("decode")
 
   dt = data.table(
     target = runif(10),
@@ -95,7 +95,7 @@ test_that("PipeOpDecode - one-hot-encoding", {
 })
 
 test_that("PipeOpDecode - treatment encoding", {
-  op = PipeOpDecode$new()
+  op = po("decode")
   op$param_set$values$treatment_encoding = TRUE
 
   dt = data.table(
@@ -144,7 +144,7 @@ test_that("PipeOpDecode - treatment encoding", {
 })
 
 test_that("PipOpDecode - collapse all into one", {
-  op = PipeOpDecode$new()
+  op = po("decode")
   op$param_set$values$group_pattern = ""
 
   dt = data.table(
@@ -164,7 +164,7 @@ test_that("PipOpDecode - collapse all into one", {
 })
 
 test_that("PipeOpDecode - errors", {
-  op = PipeOpDecode$new()
+  op = po("decode")
   dt = data.table(
     target = runif(20),
     x.1 = rep(c(1, 0), 10),
diff --git a/tests/testthat/test_pipeop_encode.R b/tests/testthat/test_pipeop_encode.R
index d8cb5764c..aa5b62f85 100644
--- a/tests/testthat/test_pipeop_encode.R
+++ b/tests/testthat/test_pipeop_encode.R
@@ -24,7 +24,7 @@ test_that("PipeOpEncode", {
 
   expect_datapreproc_pipeop_class(PipeOpEncode, task = mlr_tasks$get("iris"))
 
-  op = PipeOpEncode$new()
+  op = po("encode")
   expect_pipeop(op)
 
   nt = train_pipeop(op, inputs = list(task))[[1L]]
@@ -60,7 +60,7 @@ test_that("PipeOpEncode", {
 
 
   # repeat with method == reference
-  op = PipeOpEncode$new()
+  op = po("encode")
   op$param_set$values = list(method = "treatment")
   nt = train_pipeop(op, inputs = list(task))[[1L]]
   fn = nt$feature_names
@@ -78,7 +78,7 @@ test_that("PipeOpEncode", {
   expect_true(all(make.names(sprintf("town.%s", tail(townlevels, -1L)), unique = TRUE) %in% fn))
   expect_true(all(make.names(sprintf("town.%s", head(townlevels, 1L)), unique = TRUE) %nin% fn))
 
-  op = PipeOpEncode$new()
+  op = po("encode")
   op$param_set$values$method = "helmert"
   nt = train_pipeop(op, inputs = list(task))[[1L]]
 
@@ -91,7 +91,7 @@ test_that("PipeOpEncode", {
   check_dat(op$train(list(natask))[[1]]$data())
   check_dat(op$predict(list(natask))[[1]]$data())
 
-  op = PipeOpEncode$new()
+  op = po("encode")
   op$param_set$values$method = "sum"
   nt = train_pipeop(op, inputs = list(task))[[1L]]
 
@@ -104,7 +104,7 @@ test_that("PipeOpEncode", {
   check_dat(op$train(list(natask))[[1]]$data())
   check_dat(op$predict(list(natask))[[1]]$data())
 
-  op = PipeOpEncode$new()
+  op = po("encode")
   op$param_set$values$method = "poly"
   nt = train_pipeop(op, inputs = list(task))[[1L]]
 
diff --git a/tests/testthat/test_pipeop_encodeimpact.R b/tests/testthat/test_pipeop_encodeimpact.R
index 3a6adc9cf..c504f065b 100644
--- a/tests/testthat/test_pipeop_encodeimpact.R
+++ b/tests/testthat/test_pipeop_encodeimpact.R
@@ -14,7 +14,7 @@ test_that("PipeOpEncodeImpact", {
 
   expect_datapreproc_pipeop_class(PipeOpEncodeImpact, task = mlr_tasks$get("iris"))
 
-  op = PipeOpEncodeImpact$new()
+  op = po("encodeimpact")
 
   nt = train_pipeop(op, inputs = list(task))[[1L]]
   fn = nt$feature_names
@@ -41,7 +41,7 @@ test_that("PipeOpImpactEncode on Classification", {
 
   testtask = TaskClassif$new("test", testdf, "t")
 
-  op = PipeOpEncodeImpact$new()
+  op = po("encodeimpact")
 
   expect_equal(op$train(list(tsk("iris")))[[1]], tsk("iris"))
 
@@ -116,7 +116,7 @@ test_that("PipeOpImpactEncode on Regression", {
       b = c(-1, 2, 2, -1, -1, -1) / 4,
       t = c(1, 2, 3, 1, 2, 3))
 
-  op = PipeOpEncodeImpact$new()
+  op = po("encodeimpact")
   op$param_set$values$smoothing = 0
 
   expect_equal(op$train(list(testtask))[[1]]$data(), expect, ignore.col.order = TRUE)
diff --git a/tests/testthat/test_pipeop_ensemble.R b/tests/testthat/test_pipeop_ensemble.R
index f0b9ad237..d65adff86 100644
--- a/tests/testthat/test_pipeop_ensemble.R
+++ b/tests/testthat/test_pipeop_ensemble.R
@@ -1,22 +1,22 @@
 context("PipeOpEnsemble")
 
 test_that("PipeOpEnsemble - basic properties", {
-  op = PipeOpEnsemble$new(4, id = "ensemble", param_vals = list())
+  op = PipeOpEnsemble$new(4, id = "ensemble")
   expect_pipeop(op)
-  expect_pipeop_class(PipeOpEnsemble, list(3, id = "ensemble", param_vals = list()))
-  expect_pipeop_class(PipeOpEnsemble, list(1, id = "ensemble", param_vals = list()))
-  expect_pipeop_class(PipeOpEnsemble, list(0, id = "ensemble", param_vals = list()))
+  expect_pipeop_class(PipeOpEnsemble, list(3, id = "ensemble"), param_vals = list())
+  expect_pipeop_class(PipeOpEnsemble, list(1, id = "ensemble"), param_vals = list())
+  expect_pipeop_class(PipeOpEnsemble, list(0, id = "ensemble"), param_vals = list())
 
   truth = rnorm(70)
   prds = replicate(4, PredictionRegr$new(row_ids = seq_len(70), truth = truth, response = truth + rnorm(70, sd = 0.1)))
   expect_list(train_pipeop(op, rep(list(NULL), 4)), len = 1)
   expect_error(predict_pipeop(op, prds), "Abstract")
 
-  op = PipeOpEnsemble$new(0, id = "ensemble", param_vals = list())
+  op = PipeOpEnsemble$new(0, id = "ensemble")
   expect_pipeop(op)
 
   # collect_multiplicity = TRUE
-  op = PipeOpEnsemble$new(0, collect_multiplicity = TRUE, id = "ensemble", param_vals = list())
+  op = PipeOpEnsemble$new(0, collect_multiplicity = TRUE, id = "ensemble")
   expect_pipeop(op)
   expect_list(train_pipeop(op, list(as.Multiplicity(rep(list(NULL), 4)))), len = 1)
   expect_error(predict_pipeop(op, list(as.Multiplicity(prds))), "Abstract")
@@ -29,26 +29,26 @@ test_that("PipeOpWeightedRegrAvg - train and predict", {
   truth = rnorm(70)
   prds = replicate(4, PredictionRegr$new(row_ids = seq_len(70), truth = truth, response = truth + rnorm(70, sd = 0.1)), simplify = FALSE)
 
-  po = PipeOpRegrAvg$new(4)
+  po = po("regravg", innum = 4)
   expect_pipeop(po)
   expect_list(train_pipeop(po, rep(list(NULL), 4)), len = 1)
   out = predict_pipeop(po, prds)
 
   # Returns the same if weights are 1, rest 0
-  po = PipeOpRegrAvg$new(4)
+  po = po("regravg", innum = 4)
   po$param_set$values$weights = c(0, 0, 1, 0)
   expect_list(train_pipeop(po, rep(list(NULL), 4)), len = 1)
   out = predict_pipeop(po, prds)
   expect_equal(out, list(output = prds[[3]]))
 
 
-  po = PipeOpRegrAvg$new()
+  po = po("regravg")
   expect_pipeop(po)
   expect_list(train_pipeop(po, rep(list(NULL), 4)), len = 1)
   out = predict_pipeop(po, prds)
 
   # Returns the same if weights are 1, rest 0
-  po = PipeOpRegrAvg$new()
+  po = po("regravg")
   po$param_set$values$weights = c(0, 0, 1, 0)
   expect_list(train_pipeop(po, rep(list(NULL), 4)), len = 1)
   out = predict_pipeop(po, prds)
@@ -75,26 +75,26 @@ test_that("PipeOpWeightedClassifAvg - response - train and predict", {
     simplify = FALSE
   )
   lapply(prds, function(x) x$data$tab$truth = prds[[1]]$data$tab$truth)  # works because of R6 reference semantics
-  po = PipeOpClassifAvg$new(4)
+  po = po("classifavg", innum = 4)
   expect_pipeop(po)
   expect_list(train_pipeop(po, nulls), len = 1)
   out = predict_pipeop(po, prds)
   expect_class(out[[1]], "PredictionClassif")
 
-  po = PipeOpClassifAvg$new(4)
+  po = po("classifavg", innum = 4)
   po$param_set$values$weights = c(0, 0, 0, 1)
   expect_list(train_pipeop(po, nulls), len = 1)
   out = predict_pipeop(po, prds)
   expect_class(out[[1]], "PredictionClassif")
   expect_equal(out[[1]]$data$tab, prds[[4]]$data$tab)
 
-  po = PipeOpClassifAvg$new()
+  po = po("classifavg")
   expect_pipeop(po)
   expect_list(train_pipeop(po, nulls), len = 1)
   out = predict_pipeop(po, prds)
   expect_class(out[[1]], "PredictionClassif")
 
-  po = PipeOpClassifAvg$new()
+  po = po("classifavg")
   po$param_set$values$weights = c(0, 0, 0, 1)
   expect_list(train_pipeop(po, nulls), len = 1)
   out = predict_pipeop(po, prds)
diff --git a/tests/testthat/test_pipeop_featureunion.R b/tests/testthat/test_pipeop_featureunion.R
index 50348a091..de6e05fd4 100644
--- a/tests/testthat/test_pipeop_featureunion.R
+++ b/tests/testthat/test_pipeop_featureunion.R
@@ -1,7 +1,7 @@
 context("PipeOpFeatureUnion")
 
 test_that("featureunion - basic properties", {
-  po = PipeOpFeatureUnion$new(3)
+  po = po("featureunion", innum = 3)
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 3)
   expect_data_table(po$output, nrows = 1)
@@ -9,12 +9,12 @@ test_that("featureunion - basic properties", {
   expect_pipeop_class(PipeOpFeatureUnion, list(1))
   expect_pipeop_class(PipeOpFeatureUnion, list(3))
 
-  po = PipeOpFeatureUnion$new()
+  po = po("featureunion")
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1)
   expect_data_table(po$output, nrows = 1)
 
-  expect_error(PipeOpFeatureUnion$new(1, collect_multiplicity = TRUE), regexp = "collect_multiplicity only works with innum == 0")
+  expect_error(po("featureunion", innum = 1, collect_multiplicity = TRUE), regexp = "collect_multiplicity only works with innum == 0")
 })
 
 test_that("PipeOpFeatureUnion - train and predict", {
@@ -27,7 +27,7 @@ test_that("PipeOpFeatureUnion - train and predict", {
 
   expect_task(cbind_tasks(inputs = list(t1, t2), TRUE, c("", "")))
 
-  po = PipeOpFeatureUnion$new(2)
+  po = po("featureunion", innum = 2)
 
   tout = train_pipeop(po, list(t1, t2))
   expect_equivalent(tout[[1]]$feature_names, tsk$feature_names)
@@ -37,7 +37,7 @@ test_that("PipeOpFeatureUnion - train and predict", {
   expect_equivalent(pout[[1]]$feature_names, tsk$feature_names)
   expect_equivalent(pout[[1]]$target_names, tsk$target_names)
 
-  po = PipeOpFeatureUnion$new()
+  po = po("featureunion")
 
   tout = train_pipeop(po, list(t1, t2))
   expect_equivalent(tout[[1]]$feature_names, tsk$feature_names)
@@ -51,15 +51,15 @@ test_that("PipeOpFeatureUnion - train and predict", {
 test_that("PipeOpFeatureUnion - train and predict II", {
   skip_if_not_installed("rpart")
   # Define PipeOp's
-  scatter = PipeOpCopy$new(2)
-  op2a = PipeOpPCA$new()
-  op2b = PipeOpNOP$new()
-  op3 = PipeOpFeatureUnion$new(2)
-  opdot = PipeOpFeatureUnion$new()
+  scatter = po("copy", outnum = 2)
+  op2a = po("pca")
+  op2b = po("nop")
+  op3 = po("featureunion", innum = 2)
+  opdot = po("featureunion")
 
   task = mlr_tasks$get("iris")
   lrn = mlr_learners$get("classif.rpart")
-  op4 = PipeOpLearner$new(learner = lrn)
+  op4 = po("learner", lrn)
 
   # FIXME: Check param_set
   param_names_union = c(
@@ -96,18 +96,18 @@ test_that("PipeOpFeatureUnion - train and predict II", {
 
 test_that("Test wrong inputs", {
   # Differing rows
-  pos = PipeOpSubsample$new()
+  pos = po("subsample")
   pos$param_set$values$frac = 0.5
   g = pipeline_greplicate(
-    pos %>>% PipeOpPCA$new(),
+    pos %>>% po("pca"),
     2
-  ) %>>% PipeOpFeatureUnion$new(c("a", "b"))
+  ) %>>% po("featureunion", innum = c("a", "b"))
   task = mlr_tasks$get("iris")
   # TODO: the following was broken by mlr3 recently
   # expect_error(g$train(task), "Assertion on 'rows'")
 
   # Differing target columns
-  po = PipeOpFeatureUnion$new()
+  po = po("featureunion")
   expect_error(po$train(list(tsk("iris"), tsk("mtcars")), regexp = "All tasks must have the same target columns"))
 })
 
@@ -121,7 +121,7 @@ test_that("PipeOpFeatureUnion - levels are preserved", {
   tsk1$col_info
   tsk2$col_info
 
-  pofu = PipeOpFeatureUnion$new(2)
+  pofu = po("featureunion", innum = 2)
   expect_true(!pofu$is_trained)
   pofu$train(list(tsk1, tsk2))[[1]]$col_info
   expect_true(pofu$is_trained)
@@ -133,30 +133,30 @@ test_that("feature renaming", {
   skip_if_not_installed("rpart")
   expect_pipeop_class(PipeOpFeatureUnion, list(letters[1:3]))
 
-  expect_equal(nrow(PipeOpFeatureUnion$new(c("a", "b", "c"))$input), 3)
-  expect_equal(nrow(PipeOpFeatureUnion$new("a")$input), 1)
+  expect_equal(nrow(po("featureunion", innum = c("a", "b", "c"))$input), 3)
+  expect_equal(nrow(po("featureunion", innum = "a")$input), 1)
 
-  po = PipeOpFeatureUnion$new(c("", "a", "b"))
+  po = po("featureunion", innum = c("", "a", "b"))
 
   task = mlr_tasks$get("iris")
 
   expect_equal(po$train(list(task, task, task))[[1]]$feature_names,
     c(task$feature_names, paste0("a.", task$feature_names), paste0("b.", task$feature_names)))
 
-  po = PipeOpFeatureUnion$new(c("", "a", "a"))
+  po = po("featureunion", innum = c("", "a", "a"))
 
-  expect_equal(po$train(list(task, task, PipeOpPCA$new()$train(list(task))[[1]]))[[1]]$feature_names,
+  expect_equal(po$train(list(task, task, po("pca")$train(list(task))[[1]]))[[1]]$feature_names,
     c(task$feature_names, paste0("a.", task$feature_names), paste0("a.PC", 1:4)))
 
   # Define PipeOp's
-  scatter = PipeOpCopy$new(2)
-  op2a = PipeOpPCA$new()
-  op2b = PipeOpNOP$new()
-  op3 = PipeOpFeatureUnion$new(c("", "XX"))
+  scatter = po("copy", outnum = 2)
+  op2a = po("pca")
+  op2b = po("nop")
+  op3 = po("featureunion", innum = c("", "XX"))
 
   task = mlr_tasks$get("iris")
   lrn = mlr_learners$get("classif.rpart")
-  op4 = PipeOpLearner$new(learner = lrn)
+  op4 = po("learner", lrn)
 
   # FIXME: Check param_set
   param_names_union = c(
@@ -177,9 +177,9 @@ test_that("feature renaming", {
     "XX.Petal.Width", "XX.Sepal.Length", "XX.Sepal.Width"))
   expect_true(graph$is_trained)
 
-  po = PipeOpFeatureUnion$new(c("z", "a", "a"))
+  po = po("featureunion", innum = c("z", "a", "a"))
 
-  expect_equal(po$train(list(task, task, PipeOpPCA$new()$train(list(task))[[1]]))[[1]]$feature_names,
+  expect_equal(po$train(list(task, task, po("pca")$train(list(task))[[1]]))[[1]]$feature_names,
     c(task$feature_names, paste0("a.", task$feature_names), paste0("a.PC", 1:4)))
 })
 
@@ -204,12 +204,12 @@ test_that("feature renaming", {
 test_that("featureunion - duplicates in feature names", {
   tsk = mlr_tasks$get("iris")
 
-  g = pipeline_greplicate(PipeOpPCA$new(), 2) %>>% PipeOpFeatureUnion$new(2)
+  g = pipeline_greplicate(po("pca"), 2) %>>% po("featureunion", innum = 2)
 
   # this should work (just keeps each PC a single time)
   train_out_g = g$train(tsk)
 
-  popca = PipeOpPCA$new()
+  popca = po("pca")
   train_out_pca = popca$train(list(tsk))
   expect_equal(train_out_g[[1]]$data(), train_out_pca[[1]]$data())
 
@@ -219,12 +219,12 @@ test_that("featureunion - duplicates in feature names", {
   dat$Sepal.Width[1] = 999
   tsk2 = TaskClassif$new("tsk2", backend = dat, target = "Species")
 
-  po = PipeOpFeatureUnion$new()
+  po = po("featureunion")
   expect_error(po$train(list(tsk, tsk2)), regexp = "different features sharing the same feature name")
 })
 
 test_that("featureunion - collect_multiplicity", {
-  po = PipeOpFeatureUnion$new(0, collect_multiplicity = TRUE)
+  po = po("featureunion", innum = 0, collect_multiplicity = TRUE)
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1)
   expect_data_table(po$output, nrows = 1)
diff --git a/tests/testthat/test_pipeop_filter.R b/tests/testthat/test_pipeop_filter.R
index b4ecee96a..cf3585122 100644
--- a/tests/testthat/test_pipeop_filter.R
+++ b/tests/testthat/test_pipeop_filter.R
@@ -5,14 +5,14 @@ test_that("PipeOpFilter", {
   task = mlr_tasks$get("boston_housing_classic")
 
   expect_datapreproc_pipeop_class(PipeOpFilter,
-    list(filter = mlr3filters::FilterVariance$new(), param_vals = list(filter.frac = 0.5)), task = task,
-    check_ps_default_values = FALSE)
+    list(filter = mlr3filters::FilterVariance$new()), task = task,
+    check_ps_default_values = FALSE, param_vals = list(filter.frac = 0.5))
 
   expect_datapreproc_pipeop_class(PipeOpFilter,
-    list(filter = mlr3filters::FilterVariance$new(), param_vals = list(filter.frac = 0.5)), task = mlr_tasks$get("iris"),
-    check_ps_default_values = FALSE)
+    list(filter = mlr3filters::FilterVariance$new()), task = mlr_tasks$get("iris"),
+    check_ps_default_values = FALSE, param_vals = list(filter.frac = 0.5))
 
-  po = PipeOpFilter$new(mlr3filters::FilterVariance$new())
+  po = po("filter", filter = mlr3filters::FilterVariance$new())
 
   expect_equal(po$id, mlr3filters::FilterVariance$new()$id)
 
@@ -49,7 +49,7 @@ test_that("PipeOpFilter", {
 test_that("PipeOpFilter parameters", {
   skip_if_not_installed("mlr3filters")
 
-  po = PipeOpFilter$new(mlr3filters::FilterVariance$new())
+  po = po("filter", filter = mlr3filters::FilterVariance$new())
 
   expect_set_equal(c("filter.nfeat", "filter.frac", "filter.cutoff", "filter.permuted"),
     grep("^filter\\.", po$param_set$ids(), value = TRUE))
diff --git a/tests/testthat/test_pipeop_fixfactors.R b/tests/testthat/test_pipeop_fixfactors.R
index 75320be41..b7f1083f1 100644
--- a/tests/testthat/test_pipeop_fixfactors.R
+++ b/tests/testthat/test_pipeop_fixfactors.R
@@ -10,7 +10,7 @@ test_that("PipeOpFixFactors", {
 
   expect_datapreproc_pipeop_class(PipeOpFixFactors, task = mlr_tasks$get("iris"))
 
-  op = PipeOpFixFactors$new()
+  op = po("fixfactors")
 
   nt = train_pipeop(op, inputs = list(task))[[1L]]
   fn = nt$feature_names
diff --git a/tests/testthat/test_pipeop_histbin.R b/tests/testthat/test_pipeop_histbin.R
index 41c61cdf7..17bcce140 100644
--- a/tests/testthat/test_pipeop_histbin.R
+++ b/tests/testthat/test_pipeop_histbin.R
@@ -2,7 +2,7 @@ context("PipeOpHistBin")
 
 test_that("PipeOpHistBin - basic properties", {
   task = mlr_tasks$get("iris")
-  op = PipeOpHistBin$new()
+  op = po("histbin")
 
   expect_datapreproc_pipeop_class(PipeOpHistBin, task = task)
 
@@ -14,7 +14,7 @@ test_that("PipeOpHistBin - basic properties", {
 test_that("PipeOpHistBin - change breaks", {
   task = mlr_tasks$get("iris")
   # 5 breaks --> 7 groups
-  op5 = PipeOpHistBin$new(param_vals = list(breaks = 5L))
+  op5 = po("histbin", breaks = 5L)
   expect_pipeop(op5)
   result = op5$train(list(task))
   b = apply(result[[1L]]$data(cols = result[[1L]]$feature_names), MARGIN = 2L,
@@ -28,7 +28,7 @@ test_that("PipeOpHistBin - numerics out of range of training data", {
   dat$Sepal.Width[1L] = 5
   task2 = TaskClassif$new("iris2", backend = dat, target = "Species")
 
-  op = PipeOpHistBin$new()
+  op = po("histbin")
   result1 = op$train(list(task1))
   ranges = sapply(op$state$breaks, FUN = range)
   expect_equal(ranges[1L, ], rep.int(-Inf, times = 4L))
@@ -50,7 +50,7 @@ test_that("PipeOpHistBin - not all bins present", {
   dat$Sepal.Width[[1L]] = 2.13
   task2 = TaskClassif$new("iris2", backend = dat, target = "Species")
 
-  op = PipeOpHistBin$new(param_vals = list(breaks = seq(0, 10, by = 0.05)))
+  op = po("histbin", breaks = seq(0, 10, by = 0.05))
   expect_pipeop(op)
 
   # task1 does not have a Sepal.Width value within the interval (2.10, 2.15]
diff --git a/tests/testthat/test_pipeop_ica.R b/tests/testthat/test_pipeop_ica.R
index 88bf3115a..5277e5465 100644
--- a/tests/testthat/test_pipeop_ica.R
+++ b/tests/testthat/test_pipeop_ica.R
@@ -30,7 +30,7 @@ test_that("PipeOpICA - compare to fastICA", {
   expect_equal(dtres, fica$S)
 
   # Change some parameters
-  op2 = PipeOpICA$new(param_vals = list(method = "R", alpha = 2))
+  op2 = po("ica", method = "R", alpha = 2)
   expect_pipeop(op2, check_ps_default_values = FALSE)
   set.seed(1234)
   result2 = op2$train(list(task))
diff --git a/tests/testthat/test_pipeop_impute.R b/tests/testthat/test_pipeop_impute.R
index 5973f1496..e380f5705 100644
--- a/tests/testthat/test_pipeop_impute.R
+++ b/tests/testthat/test_pipeop_impute.R
@@ -8,7 +8,7 @@ test_that("PipeOpImpute", {
 
   PipeOpTestImpute = R6Class("PipeOpTestImpute", inherit = PipeOpTaskPreprocSimple,
     public = list(
-      initialize = function(id = "impute", param_vals = list()) {
+      initialize = function() {
         ps = ps(
           method_num = p_fct(c("median", "mean", "mode", "sample", "hist", "oor", "constant"), tags = c("train", "predict")),
           method_fct = p_fct(c("oor", "sample", "mode", "constant"), tags = c("train", "predict")),
@@ -16,7 +16,7 @@ test_that("PipeOpImpute", {
           innum = p_uty(tags = c("train", "predict"))
         )
         ps$values = list(method_num = "median", method_fct = "oor", add_dummy = "missing_train")
-        super$initialize(id, ps, param_vals = param_vals)
+        super$initialize(id = "impute", ps)
       },
 
       build_graph = function() {
@@ -26,13 +26,13 @@ test_that("PipeOpImpute", {
           mode = po("imputemode", id = "num_mode"),
           sample = po("imputesample", id = "num_sample"),
           hist = po("imputehist"),
-          constant = po("imputeconstant", id = "num_constant", param_vals = list(constant = -999)),
+          constant = po("imputeconstant", id = "num_constant", constant = -999),
           oor = po("imputeoor", id = "num_oor"))
         fctimputer = switch(self$param_set$values$method_fct,
           oor = po("imputeoor", id = "fct_oor"),
           sample = po("imputesample", id = "fct_sample"),
           mode = po("imputemode", id = "fct_mode"),
-          constant = po("imputeconstant", id = "fct_constant", param_vals = list(constant = ".MISSING", check_levels = FALSE)))
+          constant = po("imputeconstant", id = "fct_constant", constant = ".MISSING", check_levels = FALSE))
 
         if (self$param_set$values$add_dummy == "none") {
           dummyselector = selector_none()
@@ -79,9 +79,9 @@ test_that("PipeOpImpute", {
   task = mlr_tasks$get("pima")
 
 
-  expect_datapreproc_pipeop_class(PipeOpTestImpute, constargs = list(param_vals = list(innum = c("a", "b", "c", "d", "e"))), task = task)
+  expect_datapreproc_pipeop_class(PipeOpTestImpute, constargs = list(), param_vals = list(innum = c("a", "b", "c", "d", "e")), task = task)
 
-  expect_datapreproc_pipeop_class(PipeOpTestImpute, constargs = list(param_vals = list(innum = c("a", "b", "c", "d", "e"))), task = mlr_tasks$get("iris"))
+  expect_datapreproc_pipeop_class(PipeOpTestImpute, constargs = list(), param_vals = list(innum = c("a", "b", "c", "d", "e")), task = mlr_tasks$get("iris"))
 
 
 
@@ -107,81 +107,82 @@ test_that("PipeOpImpute", {
   task_no_lgl = TaskClassif$new("mdata", as_data_backend(mdata), target = "l")
 
   expect_datapreproc_pipeop_class(PipeOpTestImpute, task = task_no_lgl,
-    constargs = list(param_vals = list(
+    constargs = list(), param_vals = list(
       method_num = "median",
       method_fct = "oor",
-      add_dummy = "none")))
+      add_dummy = "none"))
 
   expect_datapreproc_pipeop_class(PipeOpTestImpute, task = task,
     deterministic_train = FALSE, deterministic_predict = FALSE,
-    constargs = list(param_vals = list(
+    constargs = list(), param_vals = list(
       method_num = "median",
       method_fct = "oor",
-      add_dummy = "none")))
+      add_dummy = "none"))
 
   expect_datapreproc_pipeop_class(PipeOpTestImpute, task = task_no_lgl,
-    constargs = list(param_vals = list(
+    constargs = list(), param_vals = list(
       method_num = "mean",
       method_fct = "oor",
-      add_dummy = "missing_train")))
+      add_dummy = "missing_train"))
 
   expect_datapreproc_pipeop_class(PipeOpTestImpute, task = task,
     deterministic_train = FALSE, deterministic_predict = FALSE,
-    constargs = list(param_vals = list(
+    constargs = list(), param_vals = list(
       method_num = "mean",
       method_fct = "oor",
-      add_dummy = "missing_train")))
+      add_dummy = "missing_train"))
 
   expect_datapreproc_pipeop_class(PipeOpTestImpute, task = task_no_lgl,
     deterministic_train = FALSE, deterministic_predict = FALSE,
-    constargs = list(param_vals = list(
+    constargs = list(), param_vals = list(
       method_num = "mode",
       method_fct = "mode",
-      add_dummy = "missing_train")))
+      add_dummy = "missing_train"))
 
   expect_datapreproc_pipeop_class(PipeOpTestImpute, task = task,
     deterministic_train = FALSE, deterministic_predict = FALSE,
-    constargs = list(param_vals = list(
+    constargs = list(), param_vals = list(
       method_num = "mode",
       method_fct = "mode",
-      add_dummy = "missing_train")))
+      add_dummy = "missing_train"))
 
   expect_datapreproc_pipeop_class(PipeOpTestImpute, task = task,
     deterministic_train = FALSE, deterministic_predict = FALSE,
-    constargs = list(param_vals = list(
+    constargs = list(), param_vals = list(
       method_num = "sample",
       method_fct = "sample",
-      add_dummy = "all")))
+      add_dummy = "all"))
 
   expect_datapreproc_pipeop_class(PipeOpTestImpute, task = task,
     deterministic_train = FALSE, deterministic_predict = FALSE,
-    constargs = list(param_vals = list(
+    constargs = list(), param_vals = list(
       method_num = "hist",
       method_fct = "sample",
-      add_dummy = "all")))
+      add_dummy = "all"))
 
 
   expect_datapreproc_pipeop_class(PipeOpTestImpute, task = task,
   deterministic_train = FALSE, deterministic_predict = FALSE,
-  constargs = list(param_vals = list(
+  constargs = list(), param_vals = list(
     method_num = "constant",
     method_fct = "constant",
-    add_dummy = "all")))
+    add_dummy = "all"))
 
   expect_datapreproc_pipeop_class(PipeOpTestImpute, task = task_no_lgl,
     deterministic_train = FALSE, deterministic_predict = FALSE,
-    constargs = list(param_vals = list(
+    constargs = list(), param_vals = list(
       method_num = "oor",
       method_fct = "oor",
-      add_dummy = "missing_train")))
+      add_dummy = "missing_train"))
   expect_datapreproc_pipeop_class(PipeOpTestImpute, task = task,
     deterministic_train = FALSE, deterministic_predict = FALSE,
-    constargs = list(param_vals = list(
+    constargs = list(), param_vals = list(
       method_num = "oor",
       method_fct = "oor",
-      add_dummy = "missing_train")))
+      add_dummy = "missing_train"))
 
-  po = PipeOpTestImpute$new(param_vals = list(
+  po = PipeOpTestImpute$new()
+  po$param_set$set_values(.values = list(
     method_num = "sample", method_fct = "sample", add_dummy = "all"))
 
   task_trained = po$train(list(task$clone(deep = TRUE)$filter(5:6)))[[1]]$data()
@@ -211,7 +212,8 @@ test_that("PipeOpImpute", {
   expect_set_equal(colnames(task_trained), c(letters[1:13], paste0("missing_", letters[c(1:11, 13)])))
   expect_set_equal(colnames(task_predicted), c(letters[1:13], paste0("missing_", letters[c(1:11, 13)])))
 
-  po = PipeOpTestImpute$new(param_vals = list(
+  po = PipeOpTestImpute$new()
+  po$param_set$set_values(.values = list(
     method_num = "median", method_fct = "oor", add_dummy = "all"))
 
   task_trained = po$train(list(task$clone(deep = TRUE)$filter(5:6)))[[1]]$data()
@@ -229,7 +231,8 @@ test_that("PipeOpImpute", {
   expect_equal(task_trained$d[2], factor(".MISSING", levels = c(letters[1:6], ".MISSING")))
   expect_equal(task_trained$h[2], ".MISSING")
 
-  po = PipeOpTestImpute$new(param_vals = list(
+  po = PipeOpTestImpute$new()
+  po$param_set$set_values(.values = list(
     method_num = "median", method_fct = "oor", add_dummy = "missing_train"))
 
   task_trained = po$train(list(task$clone(deep = TRUE)$filter(5:6)))[[1]]$data()
@@ -238,7 +241,8 @@ test_that("PipeOpImpute", {
   expect_set_equal(colnames(task_trained), c(letters[1:13], paste0("missing_", c("a", "c", "k", "m"))))
   expect_set_equal(colnames(task_predicted), c(letters[1:13], paste0("missing_", c("a", "c", "k", "m"))))
 
-  po = PipeOpTestImpute$new(param_vals = list(
+  po = PipeOpTestImpute$new()
+  po$param_set$set_values(.values = list(
     method_num = "median", method_fct = "oor", add_dummy = "none"))
 
   task_trained = po$train(list(task$clone(deep = TRUE)$filter(5:6)))[[1]]$data()
@@ -246,7 +250,8 @@ test_that("PipeOpImpute", {
 
   expect_equal(task_predicted, task$clone(deep = TRUE)$filter(1:3)$data(), ignore.col.order = TRUE)
 
-  po = PipeOpTestImpute$new(param_vals = list(
+  po = PipeOpTestImpute$new()
+  po$param_set$set_values(.values = list(
     method_num = "hist", method_fct = "oor", add_dummy = "missing_train"))
 
   for (i in range(10)) {
@@ -261,7 +266,8 @@ test_that("PipeOpImpute", {
   }
 
   # impute full na columns:
-  po = PipeOpTestImpute$new(param_vals = list(method_num = "median", method_fct = "oor"))
+  po = PipeOpTestImpute$new()
+  po$param_set$set_values(.values = list(method_num = "median", method_fct = "oor"))
 
   mdata = data.table(
     stringsAsFactors = FALSE,
diff --git a/tests/testthat/test_pipeop_kernelpca.R b/tests/testthat/test_pipeop_kernelpca.R
index 4f7f7420b..7d387b160 100644
--- a/tests/testthat/test_pipeop_kernelpca.R
+++ b/tests/testthat/test_pipeop_kernelpca.R
@@ -9,7 +9,7 @@ test_that("PipeOpKernelPCA - basic properties", {
   expect_datapreproc_pipeop_class(PipeOpKernelPCA, task = task,
     deterministic_train = TRUE, deterministic_predict = TRUE, tolerance = 1e-4)
 
-  op = PipeOpKernelPCA$new()
+  op = po("kernelpca")
   expect_pipeop(op)
   set.seed(1234)
   result = op$train(list(task))
@@ -22,7 +22,7 @@ test_that("PipeOpKernelPCA - compare to kernlab::kpca", {
   skip_if_not_installed("kernlab")
 
   task = mlr_tasks$get("iris")
-  op = PipeOpKernelPCA$new()
+  op = po("kernelpca")
   expect_pipeop(op)
   set.seed(1234)
   result = op$train(list(task))
@@ -35,7 +35,7 @@ test_that("PipeOpKernelPCA - compare to kernlab::kpca", {
   expect_equal(result[[1]]$data()[, -1], as.data.table(kernlab::rotated(pca)))
 
   # Change some parameters
-  op2 = PipeOpKernelPCA$new(param_vals = list(kpar = list(sigma = 0.4), features = 4))
+  op2 = po("kernelpca", kpar = list(sigma = 0.4), features = 4)
   expect_pipeop(op2)
   set.seed(1234)
   result2 = op2$train(list(task))
diff --git a/tests/testthat/test_pipeop_learnercv.R b/tests/testthat/test_pipeop_learnercv.R
index 9d6069f65..a734a2a69 100644
--- a/tests/testthat/test_pipeop_learnercv.R
+++ b/tests/testthat/test_pipeop_learnercv.R
@@ -2,7 +2,7 @@ context("PipeOpLearnerCV")
 
 test_that("PipeOpLearnerCV - basic properties", {
   lrn = mlr_learners$get("classif.featureless")
-  po = PipeOpLearnerCV$new(lrn)
+  po = po("learner_cv", lrn)
   expect_pipeop(po$clone(), check_ps_default_values = FALSE)
   expect_data_table(po$input, nrows = 1)
   expect_data_table(po$output, nrows = 1)
@@ -29,10 +29,10 @@ test_that("PipeOpLearnerCV - basic properties", {
   lrn = mlr_learners$get("classif.featureless")
   iris_with_unambiguous_mode = mlr_tasks$get("iris")$filter(c(1:30, 70:150))  # want featureless learner without randomness
   expect_datapreproc_pipeop_class(PipeOpLearnerCV,
-    list(lrn), iris_with_unambiguous_mode, predict_like_train = FALSE, deterministic_train = FALSE, check_ps_default_values = FALSE)
+    list(lrn), task = iris_with_unambiguous_mode, predict_like_train = FALSE, deterministic_train = FALSE, check_ps_default_values = FALSE)
   # 'insample' PipeOpLearnerCV with deterministic Learner is deterministic in every regard!
   expect_datapreproc_pipeop_class(PipeOpLearnerCV,
-    list(lrn, param_vals = list(resampling.method = "insample")), iris_with_unambiguous_mode, check_ps_default_values = FALSE)
+    list(lrn), task = iris_with_unambiguous_mode, check_ps_default_values = FALSE, param_vals = list(resampling.method = "insample"))
 
   expect_error(PipeOpLearnerCV$new())
 
@@ -41,7 +41,7 @@ test_that("PipeOpLearnerCV - basic properties", {
 test_that("PipeOpLearnerCV - param values", {
   skip_if_not_installed("rpart")
   lrn = mlr_learners$get("classif.rpart")
-  polrn = PipeOpLearnerCV$new(lrn)
+  polrn = po("learner_cv", lrn)
   expect_subset(c("minsplit", "resampling.method", "resampling.folds"), polrn$param_set$ids())
   expect_equal(polrn$param_set$values, list(resampling.method = "cv", resampling.folds = 3, resampling.keep_response = FALSE, xval = 0))
   polrn$param_set$values$minsplit = 2
@@ -53,7 +53,7 @@ test_that("PipeOpLearnerCV - param values", {
 test_that("PipeOpLearnerCV - within resampling", {
   skip_if_not_installed("rpart")
   lrn = mlr_learners$get("classif.rpart")
-  gr = GraphLearner$new(PipeOpLearnerCV$new(lrn) %>>% po(id = "l2", lrn))
+  gr = GraphLearner$new(po("learner_cv", lrn) %>>% po(id = "l2", lrn))
   rr = resample(tsk("iris"), gr, rsmp("holdout"))
   expect_class(rr, "ResampleResult")
 })
@@ -63,13 +63,13 @@ test_that("PipeOpLearnerCV - insample resampling", {
   lrn = mlr_learners$get("classif.featureless")
   iris_with_unambiguous_mode = mlr_tasks$get("iris")$filter(c(1:30, 70:150))  # want featureless learner without randomness
 
-  polrn = PipeOpLearnerCV$new(lrn, param_vals = list(resampling.method = "insample"))
+  polrn = po("learner_cv", lrn, resampling.method = "insample")
   expect_equal(polrn$train(list(iris_with_unambiguous_mode))[[1]]$data(),
     cbind(iris_with_unambiguous_mode$data(cols = "Species"),
       classif.featureless.response = factor("virginica", levels = levels(iris[[5]]))))
 
   lrn = mlr_learners$get("classif.rpart")
-  polrn = PipeOpLearnerCV$new(lrn, param_vals = list(resampling.method = "insample"))
+  polrn = po("learner_cv", lrn, resampling.method = "insample")
   expect_equal(polrn$train(list(iris_with_unambiguous_mode))[[1]],
     polrn$predict(list(iris_with_unambiguous_mode))[[1]])
 })
@@ -83,7 +83,7 @@ test_that("PipeOpLearnerCV - graph but no id", {
 
 test_that("PipeOpLearnerCV - model active binding to state", {
   lrn = mlr_learners$get("classif.featureless")
-  po = PipeOpLearnerCV$new(lrn)
+  po = po("learner_cv", lrn)
   task = mlr_tasks$get("iris")
 
   # before training states are NULL
diff --git a/tests/testthat/test_pipeop_learnerpicvplus.R b/tests/testthat/test_pipeop_learnerpicvplus.R
index 53a12891f..17c12d9ec 100644
--- a/tests/testthat/test_pipeop_learnerpicvplus.R
+++ b/tests/testthat/test_pipeop_learnerpicvplus.R
@@ -63,8 +63,9 @@ test_that("PipeOpLearnerPICVPlus - param set and values", {
   po$param_set$values$picvplus.folds = 5
   expect_equal(po$param_set$values, list(picvplus.folds = 5, picvplus.alpha = 0.05, minsplit = 2, xval = 0))
 
-  expect_error(PipeOpLearnerPICVPlus$new(lrn, param_vals = list(picvplus.folds = 1)), "is not >= 1")
-  expect_error(PipeOpLearnerPICVPlus$new(lrn, param_vals = list(picvplus.alpha = -1)), "is not >= -")
+  po1 = PipeOpLearnerPICVPlus$new(lrn)
+  expect_error(po1$param_set$set_values(.values = list(picvplus.folds = 1)), "is not >= 1")
+  expect_error(po1$param_set$set_values(.values = list(picvplus.alpha = -1)), "is not >= -")
 
   lrn_classif = mlr_learners$get("classif.featureless")
   expect_error(PipeOpLearnerPICVPlus$new(lrn_classif), "only supports regression")
@@ -123,7 +124,7 @@ test_that("PipeOpLearnerPICVPlus - integration with larger graph", {
 
 test_that("marshal", {
   lrn = lrn("regr.debug")
-  lrn$properties = c(lrn$properties, "marshal")
+  lrn$.__enclos_env__$private$.properties = c(lrn$properties, "marshal")
 
   task = tsk("mtcars")
   po = PipeOpLearnerPICVPlus$new(lrn)
@@ -143,7 +144,7 @@ test_that("marshal", {
 
 test_that("marshal multiplicity", {
   lrn = lrn("regr.debug")
-  lrn$properties = c(lrn$properties, "marshal")
+  lrn$.__enclos_env__$private$.properties = c(lrn$properties, "marshal")
   po = PipeOpLearnerPICVPlus$new(lrn)
 
   task1 = mlr_tasks$get("mtcars")
@@ -162,7 +163,7 @@ test_that("marshal multiplicity", {
 test_that("state class and multiplicity", {
   skip_on_cran()
   lrn = lrn("regr.debug")
-  lrn$properties = c(lrn$properties, "marshal")
+  lrn$.__enclos_env__$private$.properties = c(lrn$properties, "marshal")
   po = PipeOpLearnerPICVPlus$new(lrn)
 
   task1 = mlr_tasks$get("mtcars")
diff --git a/tests/testthat/test_pipeop_learnerquantiles.R b/tests/testthat/test_pipeop_learnerquantiles.R
index f6d43a3d9..8458915a9 100644
--- a/tests/testthat/test_pipeop_learnerquantiles.R
+++ b/tests/testthat/test_pipeop_learnerquantiles.R
@@ -63,20 +63,20 @@ test_that("PipeOpLearnerQuantiles - param set and values", {
   po$param_set$values$quantiles.q_response = 0.05
   expect_equal(po$param_set$values, list(quantiles.q_vals = c(0.05, 0.5, 0.95), quantiles.q_response = 0.05, robust = TRUE))
 
-  # Anfang der Error messages
-  expect_error(PipeOpLearnerQuantiles$new(lrn, param_vals = list(quantiles.q_vals = c(0.75, 0.25, 0.5))), "sorted")
-  expect_error(PipeOpLearnerQuantiles$new(lrn, param_vals = list(quantiles.q_vals = c(0.75, 0.25, NA))), "missing values")
-  expect_error(PipeOpLearnerQuantiles$new(lrn, param_vals = list(quantiles.q_vals = -0.1)), ">= 0")
-  expect_error(PipeOpLearnerQuantiles$new(lrn, param_vals = list(quantiles.q_vals = 1.1)), "<= 1")
-  expect_error(PipeOpLearnerQuantiles$new(lrn, param_vals = list(quantiles.q_response = -1)))
+  # Beginning of error messages
+  expect_error(po("learner_quantiles", lrn, quantiles.q_vals = c(0.75, 0.25, 0.5)), "sorted")
+  expect_error(po("learner_quantiles", lrn, quantiles.q_vals = c(0.75, 0.25, NA)), "missing values")
+  expect_error(po("learner_quantiles", lrn, quantiles.q_vals = -0.1), ">= 0")
+  expect_error(po("learner_quantiles", lrn, quantiles.q_vals = 1.1), "<= 1")
+  expect_error(po("learner_quantiles", lrn, quantiles.q_response = -1))
 
   # q_response %in% q_vals
   task = mlr_tasks$get("mtcars")
-  po_response = PipeOpLearnerQuantiles$new(lrn, param_vals = list(quantiles.q_vals = c(0.25, 0.75), quantiles.q_response = 0.5))
+  po_response = po("learner_quantiles", lrn, quantiles.q_vals = c(0.25, 0.75), quantiles.q_response = 0.5)
   expect_error(train_pipeop(po_response, list(task)), "additional elements")
 
   lrn_classif = mlr_learners$get("classif.featureless")
-  expect_error(PipeOpLearnerQuantiles$new(lrn_classif), "only supports regression")
+  expect_error(po("learner_quantiles", lrn_classif), "only supports regression")
 })
 
 test_that("PipeOpLearnerQuantiles - graph but no id", {
@@ -128,7 +128,7 @@ test_that("PipeOpLearnerQuantiles - integration with larger graph", {
 
 test_that("marshal", {
   lrn = lrn("regr.debug")
-  lrn$properties = c(lrn$properties, "marshal")
+  lrn$.__enclos_env__$private$.properties = c(lrn$properties, "marshal")
 
   task = tsk("mtcars")
   po = PipeOpLearnerQuantiles$new(lrn)
@@ -148,7 +148,7 @@ test_that("marshal", {
 
 test_that("marshal multiplicity", {
   lrn = lrn("regr.debug")
-  lrn$properties = c(lrn$properties, "marshal")
+  lrn$.__enclos_env__$private$.properties = c(lrn$properties, "marshal")
   po = PipeOpLearnerQuantiles$new(lrn)
 
   task1 = mlr_tasks$get("mtcars")
@@ -166,7 +166,7 @@ test_that("marshal multiplicity", {
 
 test_that("state class and multiplicity", {
   lrn = lrn("regr.debug")
-  lrn$properties = c(lrn$properties, "marshal")
+  lrn$.__enclos_env__$private$.properties = c(lrn$properties, "marshal")
   po = PipeOpLearnerQuantiles$new(lrn)
 
   task1 = mlr_tasks$get("mtcars")
diff --git a/tests/testthat/test_pipeop_missind.R b/tests/testthat/test_pipeop_missind.R
index 43c467334..360218bf2 100644
--- a/tests/testthat/test_pipeop_missind.R
+++ b/tests/testthat/test_pipeop_missind.R
@@ -28,21 +28,21 @@ test_that("PipeOpMissInd", {
   task_no_lgl = TaskClassif$new("mdata", as_data_backend(mdata), target = "l")
 
   expect_datapreproc_pipeop_class(PipeOpMissInd, task = task,
-    constargs = list(param_vals = list(which = "missing_train", type = "logical", affect_columns = NULL)))
+    constargs = list(), param_vals = list(which = "missing_train", type = "logical", affect_columns = NULL))
 
   expect_datapreproc_pipeop_class(PipeOpMissInd, task = task,
-    constargs = list(param_vals = list(which = "all", type = "logical", affect_columns = NULL)))
+    constargs = list(), param_vals = list(which = "all", type = "logical", affect_columns = NULL))
 
   expect_datapreproc_pipeop_class(PipeOpMissInd, task = task,
-    constargs = list(param_vals = list(which = "all", type = "factor", affect_columns = NULL)))
+    constargs = list(), param_vals = list(which = "all", type = "factor", affect_columns = NULL))
 
   expect_datapreproc_pipeop_class(PipeOpMissInd, task = task,
-    constargs = list(param_vals = list(which = "all", type = "integer", affect_columns = NULL)))
+    constargs = list(), param_vals = list(which = "all", type = "integer", affect_columns = NULL))
 
   expect_datapreproc_pipeop_class(PipeOpMissInd, task = task,
-    constargs = list(param_vals = list(which = "all", type = "numeric", affect_columns = NULL)))
+    constargs = list(), param_vals = list(which = "all", type = "numeric", affect_columns = NULL))
 
-  po = PipeOpMissInd$new(param_vals = list(which = "all", type = "logical", affect_columns = NULL))
+  po = po("missind", which = "all", type = "logical", affect_columns = NULL)
 
   task_trained = po$train(list(task$clone(deep = TRUE)$filter(5:6)))[[1]]$data()
 
@@ -109,7 +109,7 @@ test_that("union with missing rows", {
   data2[1:1, cyl:=NA]
 
   imp_missind = po("missind")
-  imp_num =  po("imputehist", param_vals = list(affect_columns = selector_type("numeric")))
+  imp_num =  po("imputehist", affect_columns = selector_type("numeric"))
   learner = lrn("regr.rpart")
 
   g1 = gunion(list(imp_num, imp_missind)) %>>% po("featureunion")
diff --git a/tests/testthat/test_pipeop_modelmatrix.R b/tests/testthat/test_pipeop_modelmatrix.R
index 3bf978918..1ad085ada 100644
--- a/tests/testthat/test_pipeop_modelmatrix.R
+++ b/tests/testthat/test_pipeop_modelmatrix.R
@@ -5,10 +5,10 @@ test_that("PipeOpModelMatrix - basic properties", {
   task = mlr_tasks$get("iris")
   # General
   expect_datapreproc_pipeop_class(PipeOpModelMatrix,
-    constargs = list(param_vals = list(formula = ~ . ^ 2)), task = task)
+    param_vals = list(formula = ~ . ^ 2), task = task)
 
   # Intercept
-  op = PipeOpModelMatrix$new(param_vals = list(formula = ~ . ^ 2))
+  op = po("modelmatrix", formula = ~ . ^ 2)
   expect_pipeop(op)
   nt = train_pipeop(op, inputs = list(task))[[1L]]
   fn = nt$feature_names
@@ -31,7 +31,7 @@ test_that("PipeOpModelMatrix - basic properties", {
   })
 
   # Without intercept
-  op = PipeOpModelMatrix$new(param_vals = list(formula = ~ 0 + Sepal.Length))
+  op = po("modelmatrix", formula = ~ 0 + Sepal.Length)
   expect_pipeop(op)
   nt = train_pipeop(op, inputs = list(task))[[1L]]
   fn = nt$feature_names
@@ -40,10 +40,8 @@ test_that("PipeOpModelMatrix - basic properties", {
 
   # other formula
   expect_datapreproc_pipeop_class(PipeOpModelMatrix,
-    constargs = list(param_vals = list(formula = ~ 0 + Sepal.Length +
-        log(Sepal.Length))), task = task)
-  op = PipeOpModelMatrix$new(param_vals = list(formula = ~ 0 + Sepal.Length +
-      log(Sepal.Length)))
+    param_vals = list(formula = ~ 0 + Sepal.Length + log(Sepal.Length)), task = task)
+  op = po("modelmatrix", formula = ~ 0 + Sepal.Length + log(Sepal.Length))
   expect_pipeop(op)
   nt = train_pipeop(op, inputs = list(task))[[1L]]
   fn = nt$feature_names
@@ -53,8 +51,8 @@ test_that("PipeOpModelMatrix - basic properties", {
 
   # Interactions with factors
   task = mlr_tasks$get("german_credit")
-  op = PipeOpModelMatrix$new(param_vals = list(formula = ~ 0 +
-      foreign_worker:other_installment_plans))
+  op = po("modelmatrix", formula = ~ 0 +
+      foreign_worker:other_installment_plans)
   expect_pipeop(op)
   nt = train_pipeop(op, inputs = list(task))[[1L]]
   fn = nt$feature_names
diff --git a/tests/testthat/test_pipeop_multiplicityexply.R b/tests/testthat/test_pipeop_multiplicityexply.R
index 6be3a28ac..670531e5c 100644
--- a/tests/testthat/test_pipeop_multiplicityexply.R
+++ b/tests/testthat/test_pipeop_multiplicityexply.R
@@ -1,7 +1,7 @@
 context("PipeOpMultiplicityExply")
 
 test_that("multiplicityexply - basic properties", {
-  po = PipeOpMultiplicityExply$new(3)
+  po = po("multiplicityexply", outnum = 3)
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1)
   expect_data_table(po$output, nrows = 3)
@@ -17,7 +17,7 @@ test_that("multiplicityexply - train and predict", {
   t1 = tsk$clone()$select(keep1)
   t2 = tsk$clone()$select(keep2)
 
-  po = PipeOpMultiplicityExply$new(2)
+  po = po("multiplicityexply", outnum = 2)
   tout = train_pipeop(po, list(as.Multiplicity(list(t1, t2))))
   expect_list(po$state, len = 0)
   expect_list(tout, len = 2)
diff --git a/tests/testthat/test_pipeop_multiplicityimply.R b/tests/testthat/test_pipeop_multiplicityimply.R
index c855449c4..c6c43ddcd 100644
--- a/tests/testthat/test_pipeop_multiplicityimply.R
+++ b/tests/testthat/test_pipeop_multiplicityimply.R
@@ -1,7 +1,7 @@
 context("PipeOpMultiplicityImply")
 
 test_that("multiplicityimply - basic properties", {
-  po = PipeOpMultiplicityImply$new(3)
+  po = po("multiplicityimply", innum = 3)
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 3)
   expect_data_table(po$output, nrows = 1)
@@ -9,7 +9,7 @@ test_that("multiplicityimply - basic properties", {
   expect_pipeop_class(PipeOpMultiplicityImply, list(1))
   expect_pipeop_class(PipeOpMultiplicityImply, list(3))
 
-  po = PipeOpMultiplicityImply$new()
+  po = po("multiplicityimply")
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1)
   expect_data_table(po$output, nrows = 1)
@@ -22,7 +22,7 @@ test_that("multiplicityimply - train and predict", {
   t1 = tsk$clone()$select(keep1)
   t2 = tsk$clone()$select(keep2)
 
-  po = PipeOpMultiplicityImply$new(2)
+  po = po("multiplicityimply", innum = 2)
   tout = train_pipeop(po, list(t1, t2))
   expect_list(po$state, len = 0)
   expect_multiplicity(tout[[1]])
@@ -33,7 +33,7 @@ test_that("multiplicityimply - train and predict", {
   expect_equal(pout[[1]][[1]], t1)
   expect_equal(pout[[1]][[2]], t2)
 
-  po = PipeOpMultiplicityImply$new()
+  po = po("multiplicityimply")
   tout = train_pipeop(po, list(t1, t2))
   expect_list(po$state, len = 0)
   expect_multiplicity(tout[[1]])
@@ -44,7 +44,7 @@ test_that("multiplicityimply - train and predict", {
   expect_equal(pout[[1]][[1]], t1)
   expect_equal(pout[[1]][[2]], t2)
 
-  po = PipeOpMultiplicityImply$new(c("t1", "t2"))
+  po = po("multiplicityimply", innum = c("t1", "t2"))
   tout = train_pipeop(po, list(t1, t2))
   expect_list(po$state, len = 0)
   expect_multiplicity(tout[[1]])
@@ -57,12 +57,12 @@ test_that("multiplicityimply - train and predict", {
 })
 
 test_that("multiplicityimply innum names are used", {
-  po = PipeOpMultiplicityImply$new(2)
+  po = po("multiplicityimply", innum = 2)
   expect_names(names(po$train(list(1, 2))[[1]]), "unnamed")
   expect_names(names(po$predict(list(1, 2))[[1]]), "unnamed")
   expect_equal(po$input$name, c("input1", "input2"))
 
-  po = PipeOpMultiplicityImply$new(c("a", "b"))
+  po = po("multiplicityimply", innum = c("a", "b"))
   expect_equal(unclass(po$train(list(1, 2))[[1]]), list(a = 1, b = 2))
   expect_equal(unclass(po$predict(list(3, 4))[[1]]), list(a = 3, b = 4))
   expect_equal(po$input$name, c("a", "b"))
diff --git a/tests/testthat/test_pipeop_mutate.R b/tests/testthat/test_pipeop_mutate.R
index a566fa60e..602f7f262 100644
--- a/tests/testthat/test_pipeop_mutate.R
+++ b/tests/testthat/test_pipeop_mutate.R
@@ -1,7 +1,7 @@
 context("PipeOpMutate")
 
 test_that("mutate", {
-  op = PipeOpMutate$new()
+  op = po("mutate")
   expect_pipeop(op)
 
   # Generic tests
diff --git a/tests/testthat/test_pipeop_nearmiss.R b/tests/testthat/test_pipeop_nearmiss.R
index 79ce1f7fc..b6c3ada2f 100644
--- a/tests/testthat/test_pipeop_nearmiss.R
+++ b/tests/testthat/test_pipeop_nearmiss.R
@@ -11,7 +11,7 @@ test_that("PipeOpNearmiss - basic properties", {
 test_that("PipeOpNearmiss - train works as intended", {
   skip_if_not_installed("themis")
 
-  op = PipeOpNearmiss$new()
+  op = po("nearmiss")
 
   # Compare to themis::nearmiss for task with only numeric/integer features
   task = mlr_tasks$get("wine")
diff --git a/tests/testthat/test_pipeop_nmf.R b/tests/testthat/test_pipeop_nmf.R
index 1d2828190..a46ba3efb 100644
--- a/tests/testthat/test_pipeop_nmf.R
+++ b/tests/testthat/test_pipeop_nmf.R
@@ -8,7 +8,7 @@ test_that("basic properties", {
 
 test_that("feature selector", {
   skip_if_not_installed("NMF")
-  op = PipeOpNMF$new()
+  op = po("nmf")
   dat = iris
   dat$Sepal.Length[1L] <- -999
   dat$test <- rep.int(c(TRUE, FALSE), times = 75L)
@@ -20,7 +20,7 @@ test_that("feature selector", {
 
 test_that("parameters", {
   skip_if_not_installed("NMF")
-  op = PipeOpNMF$new()
+  op = po("nmf")
   op$param_set$values$rank = 3L
   op$param_set$values$nrun = 2L
   op$param_set$values$seed = 999
diff --git a/tests/testthat/test_pipeop_ovr.R b/tests/testthat/test_pipeop_ovr.R
index a0b5f8352..1009ff71a 100644
--- a/tests/testthat/test_pipeop_ovr.R
+++ b/tests/testthat/test_pipeop_ovr.R
@@ -1,7 +1,7 @@
 context("PipeOpOVRSplit")
 
 test_that("PipeOpOVRSplit - basic properties", {
-  po = PipeOpOVRSplit$new()
+  po = po("ovrsplit")
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1)
   expect_data_table(po$output, nrows = 1)
@@ -13,7 +13,7 @@ test_that("PipeOpOVRSplit - train and predict", {
   # toy task to split
   dat = data.table(target = as.factor(rep(c("a", "b", "rest"), each = 10)), feature = rnorm(30))
   tsk = TaskClassif$new("test", backend = dat, target = "target")
-  po = PipeOpOVRSplit$new()
+  po = po("ovrsplit")
 
   tout = train_pipeop(po, list(tsk))
   expect_equal(po$state$levels, tsk$class_names)
@@ -40,7 +40,7 @@ test_that("PipeOpOVRSplit - train and predict", {
 context("PipeOpOVRUnite")
 
 test_that("PipeOpOVRUnite - basic properties", {
-  po = PipeOpOVRUnite$new()
+  po = po("ovrunite")
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1)
   expect_data_table(po$output, nrows = 1)
@@ -58,7 +58,7 @@ test_that("PipeOpOVRUnite- train and predict", {
   tsk1 = TaskClassif$new("t1", backend = dat1, target = "target", positive = "a")
   tsk2 = TaskClassif$new("t2", backend = dat2, target = "target", positive = "b")
   tsk3 = TaskClassif$new("t3", backend = dat3, target = "target", positive = "c")
-  po = PipeOpOVRUnite$new()
+  po = po("ovrunite")
   lrn = LearnerClassifRpart$new()
 
   # predict_type "prob"
@@ -108,7 +108,7 @@ test_that("PipeOpOVRSplit and PipeOpOVRUnite - train and predict", {
   tsk1 = TaskClassif$new("t1", backend = dat1, target = "target", positive = "a")
   tsk2 = TaskClassif$new("t2", backend = dat2, target = "target", positive = "b")
   tsk3 = TaskClassif$new("t3", backend = dat3, target = "target", positive = "c")
-  po = PipeOpOVRUnite$new()
+  po = po("ovrunite")
   lrn = LearnerClassifRpart$new()
   tin = map(list(tsk1, tsk2, tsk3), .f = function(task) {
     lrn$train(task)
@@ -118,7 +118,7 @@ test_that("PipeOpOVRSplit and PipeOpOVRUnite - train and predict", {
   po$train(list(as.Multiplicity(NULL)))
   pout_ref = po$predict(list(as.Multiplicity(tin)))
 
-  gr = PipeOpOVRSplit$new() %>>% LearnerClassifRpart$new() %>>% PipeOpOVRUnite$new()
+  gr = po("ovrsplit") %>>% LearnerClassifRpart$new() %>>% po("ovrunite")
   expect_graph(gr)
   tout = gr$train(tsk0)
   expect_list(gr$state$ovrunite, len = 0)
@@ -134,7 +134,7 @@ test_that("PipeOpOVRSplit and PipeOpOVRUnite - train and predict", {
 
 test_that("PipeOpOVRSplit and PipeOpOVRUnite - task size", {
   skip_if_not_installed("rpart")
-  gr = PipeOpOVRSplit$new() %>>% LearnerClassifRpart$new() %>>% PipeOpOVRUnite$new()
+  gr = po("ovrsplit") %>>% LearnerClassifRpart$new() %>>% po("ovrunite")
   gr$train(tsk("iris")$filter(c(1:30, 51:80, 101:130)))
   prd = gr$predict(tsk("iris")$filter(c(1:30, 51:80, 101:130)))[[1]]
   expect_prediction_classif(prd)
diff --git a/tests/testthat/test_pipeop_pca.R b/tests/testthat/test_pipeop_pca.R
index b6bb7b0d9..f727c918a 100644
--- a/tests/testthat/test_pipeop_pca.R
+++ b/tests/testthat/test_pipeop_pca.R
@@ -1,7 +1,7 @@
 context("PipeOpPCA")
 
 test_that("PipeOpPCA - basic properties", {
-  op = PipeOpPCA$new()
+  op = po("pca")
   task = mlr_tasks$get("iris")
   expect_pipeop(op)
 
@@ -11,7 +11,7 @@ test_that("PipeOpPCA - basic properties", {
 
 test_that("PipeOpPCA works as expected", {
 
-  op = PipeOpPCA$new()
+  op = po("pca")
   task = mlr_tasks$get("iris")
 
   ip = op$train(list(task))
diff --git a/tests/testthat/test_pipeop_proxy.R b/tests/testthat/test_pipeop_proxy.R
index bc50ae73b..36146d715 100644
--- a/tests/testthat/test_pipeop_proxy.R
+++ b/tests/testthat/test_pipeop_proxy.R
@@ -2,7 +2,7 @@ context("PipeOpProxy")
 
 test_that("PipeOpProxy - basic properties", {
   task = mlr_tasks$get("iris")
-  pop = PipeOpProxy$new(param_vals = list(content = PipeOpNOP$new()))
+  pop = po("proxy", content = PipeOpNOP$new())
   expect_pipeop(pop)
   expect_equal(train_pipeop(pop, inputs = list(task))[[1L]], task)
   expect_equal(pop$state, list(nop = list()))
@@ -10,21 +10,21 @@ test_that("PipeOpProxy - basic properties", {
 })
 
 test_that("PipeOpProxy - datapreproc", {
-  pop = PipeOpScale$new()
-  expect_datapreproc_pipeop_class(PipeOpProxy, constargs = list(param_vals = list(content = pop)), task = mlr_tasks$get("iris"))
+  pop = po("scale")
+  expect_datapreproc_pipeop_class(PipeOpProxy, constargs = list(), param_vals = list(content = pop), task = mlr_tasks$get("iris"))
 })
 
 test_that("PipeOpProxy - content error handling", {
-  expect_error(PipeOpProxy$new(param_vals = list(content = "error")), regexp = "`content` must be an object that can be converted to a Graph")
-  expect_error(PipeOpProxy$new(param_vals = list(content = PipeOpCopy$new(outnum = 2L))), regexp = "Graph's output number must either be 1 or match `outnum`")
-  expect_error(PipeOpProxy$new(param_vals = list(content = PipeOpFeatureUnion$new(innum = 3L)), innum = 2), regexp = "Graph's input number .* match `innum`")
+  expect_error(po("proxy", content = "error"), regexp = "`content` must be an object that can be converted to a Graph")
+  expect_error(po("proxy", content = PipeOpCopy$new(outnum = 2L)), regexp = "Graph's output number must either be 1 or match `outnum`")
+  expect_error(po("proxy", content = PipeOpFeatureUnion$new(innum = 3L), innum = 2), regexp = "Graph's input number .* match `innum`")
 })
 
 test_that("PipeOpProxy - several inputs via featureunion", {
   task1 = mlr_tasks$get("iris")
   task2 = mlr_tasks$get("iris")
-  gr1 = PipeOpCopy$new(outnum = 2L) %>>% gunion(list(PipeOpNOP$new(), PipeOpPCA$new())) %>>% PipeOpProxy$new(param_vals = list(content = PipeOpFeatureUnion$new()))
-  gr2 = PipeOpCopy$new(outnum = 2L) %>>% gunion(list(PipeOpNOP$new(), PipeOpPCA$new())) %>>% PipeOpFeatureUnion$new()
+  gr1 = po("copy", outnum = 2L) %>>% gunion(list(PipeOpNOP$new(), po("pca"))) %>>% po("proxy", content = PipeOpFeatureUnion$new())
+  gr2 = po("copy", outnum = 2L) %>>% gunion(list(PipeOpNOP$new(), po("pca"))) %>>% po("featureunion")
   tout1 = gr1$train(task1)
   tout2 = gr2$train(task2)
   expect_equal(tout1[[1L]], tout2[[1L]])
@@ -33,8 +33,8 @@ test_that("PipeOpProxy - several inputs via featureunion", {
 test_that("PipeOpProxy - several outputs", {
   task1 = mlr_tasks$get("iris")
   task2 = mlr_tasks$get("iris")
-  pop = PipeOpProxy$new(outnum = 2L, param_vals = list(content = PipeOpCopy$new(outnum = 2L)))
-  pop_copy = PipeOpCopy$new(outnum = 2L)
+  pop = po("proxy", outnum = 2L, content = PipeOpCopy$new(outnum = 2L))
+  pop_copy = po("copy", outnum = 2L)
   tout1 = pop$train(list(task1))
   tout2 = pop_copy$train(list(task2))
   expect_equal(tout1, tout2)
@@ -43,9 +43,9 @@ test_that("PipeOpProxy - several outputs", {
 test_that("PipeOpProxy - PCA proxied", {
   task1 = mlr_tasks$get("iris")
   task2 = mlr_tasks$get("iris")
-  pop = PipeOpProxy$new(param_vals = list(content =
-    PipeOpPCA$new(param_vals = list(center = TRUE, scale. = TRUE, rank. = 1L))))
-  pop_pca = PipeOpPCA$new(param_vals = list(center = TRUE, scale. = TRUE, rank. = 1L))
+  pop = po("proxy", content =
+    po("pca", center = TRUE, scale. = TRUE, rank. = 1L))
+  pop_pca = po("pca", center = TRUE, scale. = TRUE, rank. = 1L)
   task1 = mlr_tasks$get("iris")
   task2 = task1$clone(deep = TRUE)
   tout = train_pipeop(pop, list(task1))
@@ -54,11 +54,11 @@ test_that("PipeOpProxy - PCA proxied", {
 })
 
 test_that("PipeOpProxy - Graph proxied", {
-  pop = PipeOpProxy$new(param_vals = list(content =
-    PipeOpScale$new() %>>%
-    PipeOpPCA$new(param_vals = list(center = TRUE, scale. = TRUE, rank. = 1L))))
-  gr = PipeOpScale$new() %>>%
-    PipeOpPCA$new(param_vals = list(center = TRUE, scale. = TRUE, rank. = 1L))
+  pop = po("proxy", content =
+    po("scale") %>>%
+    po("pca", center = TRUE, scale. = TRUE, rank. = 1L))
+  gr = po("scale") %>>%
+    po("pca", center = TRUE, scale. = TRUE, rank. = 1L)
   task1 = mlr_tasks$get("iris")
   task2 = task1$clone(deep = TRUE)
   tout = train_pipeop(pop, list(task1))
diff --git a/tests/testthat/test_pipeop_quantilebin.R b/tests/testthat/test_pipeop_quantilebin.R
index c8b414cc8..971bd7735 100644
--- a/tests/testthat/test_pipeop_quantilebin.R
+++ b/tests/testthat/test_pipeop_quantilebin.R
@@ -7,7 +7,7 @@ test_that("PipeOpQuantileBin - basic properties", {
 
 test_that("PipeOpQuantileBin - see if expected result is returned", {
   task = mlr_tasks$get("iris")
-  op = PipeOpQuantileBin$new()
+  op = po("quantilebin")
   expect_pipeop(op)
   result = op$train(list(task))
 
@@ -16,7 +16,7 @@ test_that("PipeOpQuantileBin - see if expected result is returned", {
     function(x) expect_equal(length(unique(x)), 2))
 
   # 5 bins
-  op5 = PipeOpQuantileBin$new(param_vals = list(numsplits = 5))
+  op5 = po("quantilebin", numsplits = 5)
   expect_pipeop(op5)
   result = op5$train(list(task))
   b = apply(as.data.frame(result[[1]]$data()[, 2:5]), MARGIN = 2,
diff --git a/tests/testthat/test_pipeop_randomprojection.R b/tests/testthat/test_pipeop_randomprojection.R
index 0bf6633dc..f5cc1fd0d 100644
--- a/tests/testthat/test_pipeop_randomprojection.R
+++ b/tests/testthat/test_pipeop_randomprojection.R
@@ -2,13 +2,13 @@ context("RandomProjection")
 
 test_that("basic properties", {
   task = mlr_tasks$get("iris")
-  op = PipeOpRandomProjection$new()
+  op = po("randomprojection")
   expect_datapreproc_pipeop_class(PipeOpRandomProjection, task = task, deterministic_train = FALSE)
 })
 
 test_that("projection properties", {
   task = mlr_tasks$get("iris")
-  op = PipeOpRandomProjection$new()
+  op = po("randomprojection")
   set.seed(1234)
   result = op$train(list(task))
   resdt = result[[1]]$data()
diff --git a/tests/testthat/test_pipeop_randomresponse.R b/tests/testthat/test_pipeop_randomresponse.R
index 486340879..d70099971 100644
--- a/tests/testthat/test_pipeop_randomresponse.R
+++ b/tests/testthat/test_pipeop_randomresponse.R
@@ -3,9 +3,9 @@ context("PipeOpRandomResponse")
 
 test_that("basic properties", {
   expect_pipeop_class(PipeOpRandomResponse)
-  expect_error(PipeOpCopy$new(param_vals = list(rdistfun = function(n) {})))
+  expect_error(po("copy", rdistfun = function(n) {}))
 
-  po = PipeOpRandomResponse$new()
+  po = po("randomresponse")
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1)
   expect_data_table(po$output, nrows = 1)
@@ -17,7 +17,7 @@ test_that("train and predict", {
   skip_if_not_installed("rpart")
   task1 = mlr_tasks$get("iris")
   task1$row_roles$use = c(1:10, 140:150)
-  g1 = LearnerClassifRpart$new() %>>% PipeOpRandomResponse$new()
+  g1 = LearnerClassifRpart$new() %>>% po("randomresponse")
   g1$pipeops$classif.rpart$learner$predict_type = "prob"
   train_out1 = g1$train(task1)
   expect_list(train_out1)
@@ -31,12 +31,12 @@ test_that("train and predict", {
 
   learner1 = LearnerClassifRpart$new()
   learner1$train(task1)
-  g1x = LearnerClassifRpart$new() %>>% PipeOpRandomResponse$new()
+  g1x = LearnerClassifRpart$new() %>>% po("randomresponse")
   g1x$train(task1)
   expect_equal(g1x$predict(task1)[[1L]], learner1$predict(task1))
 
   task2 = mlr_tasks$get("mtcars")
-  g2 = mlr3learners::LearnerRegrLM$new() %>>% PipeOpRandomResponse$new()
+  g2 = mlr3learners::LearnerRegrLM$new() %>>% po("randomresponse")
   g2$pipeops$regr.lm$learner$predict_type = "se"
   train_out2 = g2$train(task2)
   expect_list(train_out2)
@@ -57,7 +57,7 @@ test_that("train and predict", {
 
   learner2 = mlr3learners::LearnerRegrLM$new()
   learner2$train(task2)
-  g2x = mlr3learners::LearnerRegrLM$new() %>>% PipeOpRandomResponse$new()
+  g2x = mlr3learners::LearnerRegrLM$new() %>>% po("randomresponse")
   g2x$train(task2)
   expect_equal(g2x$predict(task2)[[1L]], learner2$predict(task2))
 })
diff --git a/tests/testthat/test_pipeop_removeconstants.R b/tests/testthat/test_pipeop_removeconstants.R
index 1e596e031..4665ff87a 100644
--- a/tests/testthat/test_pipeop_removeconstants.R
+++ b/tests/testthat/test_pipeop_removeconstants.R
@@ -12,7 +12,7 @@ test_that("PipeOpRemoveConstants removes expected cols", {
   task$cbind(data.table(xx = rep(1, 506), yy = rep("a", 506),
     xx1 = c(2, rep(1, 505)), yy1 = c("b", rep("a", 505))))
 
-  po = PipeOpRemoveConstants$new()
+  po = po("removeconstants")
 
   cn = po$train(list(task))[[1]]$feature_names
 
@@ -38,7 +38,9 @@ test_that("PipeOpRemoveConstants removes expected cols", {
 
   test_dropping = function(data, expected_data, params) {
     intask = TaskClassif$new("iris", cbind(data, target = factor(c("x", rep("y", nrow(data) - 1)))), "target")
-    resulttask = PipeOpRemoveConstants$new(param_vals = params)$train(list(intask))[[1]]
+    porc = po("removeconstants")
+    porc$param_set$set_values(.values = params)
+    resulttask = porc$train(list(intask))[[1]]
     expect_equal(resulttask$data(cols = resulttask$feature_names), as.data.table(expected_data),
       ignore.col.order = TRUE)
   }
diff --git a/tests/testthat/test_pipeop_renamecolumns.R b/tests/testthat/test_pipeop_renamecolumns.R
index 2439a1d11..0890639dc 100644
--- a/tests/testthat/test_pipeop_renamecolumns.R
+++ b/tests/testthat/test_pipeop_renamecolumns.R
@@ -2,14 +2,14 @@ context("PipeOpRenameColumns")
 
 test_that("basic properties", {
   task = mlr_tasks$get("iris")
-  op = PipeOpRenameColumns$new()
+  op = po("renamecolumns")
   expect_datapreproc_pipeop_class(PipeOpRenameColumns, task = task, predict_like_train = TRUE)
 })
 
 test_that("renaming works", {
   task = mlr_tasks$get("iris")
   task$cbind(data.table(Petal.Width = as.character(1:150)))  # need a char column that we can turn into the 'name'-col
-  op = PipeOpRenameColumns$new(param_vals = list(renaming = c("Petal.Length" = "PL")))
+  op = po("renamecolumns", renaming = c("Petal.Length" = "PL"))
   train_out1 = op$train(list(task))[[1L]]
   predict_out1 = op$predict(list(task))[[1L]]
   expect_equal(train_out1, predict_out1)
@@ -34,7 +34,7 @@ test_that("renaming works", {
 
 test_that("error handling", {
   task = mlr_tasks$get("iris")
-  op = PipeOpRenameColumns$new(param_vals = list(renaming = c("Test" = "Newtest")))
+  op = po("renamecolumns", renaming = c("Test" = "Newtest"))
   expect_error(op$train(list(task)), "The names Test from.*were not found in the Task")
   op$param_set$values$ignore_missing = TRUE
   expect_equal(task$data(), op$train(list(task))[[1]]$data())
diff --git a/tests/testthat/test_pipeop_replicate.R b/tests/testthat/test_pipeop_replicate.R
index 11c41f106..901f3ebfb 100644
--- a/tests/testthat/test_pipeop_replicate.R
+++ b/tests/testthat/test_pipeop_replicate.R
@@ -1,7 +1,7 @@
 context("PipeOpReplicate")
 
 test_that("PipeOpReplicate - basic properties", {
-  po = PipeOpReplicate$new()
+  po = po("replicate")
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1)
   expect_data_table(po$output, nrows = 1)
@@ -12,7 +12,7 @@ test_that("PipeOpReplicate - basic properties", {
 test_that("PipeOpReplicate - train and predict", {
   tsk = mlr_tasks$get("iris")
   nreps = 3
-  po = PipeOpReplicate$new(param_vals = list(reps = nreps))
+  po = po("replicate", reps = nreps)
 
   tout = train_pipeop(po, list(tsk))
   expect_list(po$state, len = 0)
diff --git a/tests/testthat/test_pipeop_rowapply.R b/tests/testthat/test_pipeop_rowapply.R
index 7267911c4..873eaca7f 100644
--- a/tests/testthat/test_pipeop_rowapply.R
+++ b/tests/testthat/test_pipeop_rowapply.R
@@ -1,13 +1,13 @@
 context("PipeOpRowApply")
 
 test_that("PipeOpRowApply - basic properties", {
-  op = PipeOpRowApply$new()
+  op = po("rowapply")
   task = mlr_tasks$get("iris")
   expect_datapreproc_pipeop_class(PipeOpRowApply, task = task)
 })
 
 test_that("PipeOpRowApply - transform on task with only numeric features", {
-  op = PipeOpRowApply$new()
+  op = po("rowapply")
   task = mlr_tasks$get("iris")
   cnames = task$feature_names
   iris = task$data(cols = cnames)
@@ -99,7 +99,7 @@ test_that("PipeOpRowApply - transform on task with only numeric features", {
 
 test_that("PipeOpRowApply - transform works on task with only integer features", {
 
-  op = PipeOpRowApply$new()
+  op = po("rowapply")
   task = mlr_tasks$get("german_credit")$select(c("age", "amount", "duration"))
   cnames = task$feature_names
   german_credit = task$data(cols = cnames)
@@ -191,7 +191,7 @@ test_that("PipeOpRowApply - transform works on task with only integer features",
 
 test_that("PipeOpRowApply - transform works on task with both numeric and integer features", {
 
-  op = PipeOpRowApply$new()
+  op = po("rowapply")
   task = mlr_tasks$get("wine")
   cnames = task$feature_names
   wine = task$data(cols = cnames)
@@ -289,7 +289,7 @@ test_that("PipeOpRowApply - transform works on task with both numeric and intege
 
 test_that("PipeOpRowApply - transform works on task with only one row", {
 
-  op = PipeOpRowApply$new()
+  op = po("rowapply")
   task = mlr_tasks$get("wine")$filter(1)
   cnames = task$feature_names
   wine = task$data(cols = cnames)
@@ -353,7 +353,7 @@ test_that("PipeOpRowApply - transform works on task with only one row", {
 
 test_that("PipeOpRowApply - transform works on empty task (no rows)", {
 
-  op = PipeOpRowApply$new()
+  op = po("rowapply")
   task = mlr_tasks$get("wine")$clone(deep = TRUE)$filter(integer(0))
   cnames = task$feature_names
 
@@ -424,7 +424,7 @@ test_that("PipeOpRowApply - transform works on empty task (no rows)", {
 
 test_that("PipeOpRowApply - transform works for empty predict task (no rows)", {
 
-  op = PipeOpRowApply$new()
+  op = po("rowapply")
   task_train = mlr_tasks$get("wine")
   task_predict = task_train$clone(deep = TRUE)$filter(integer(0))
   cnames = task_train$feature_names
@@ -479,7 +479,7 @@ test_that("PipeOpRowApply - transform works for empty predict task (no rows)", {
 
 test_that("PipeOpRowApply - transform works on task with no numeric or integer columns", {
 
-  op = PipeOpRowApply$new()
+  op = po("rowapply")
   task = mlr_tasks$get("penguins")$select(c("island", "sex"))
   cnames = task$feature_names
 
diff --git a/tests/testthat/test_pipeop_scale.R b/tests/testthat/test_pipeop_scale.R
index ec3d9abd2..3f754e49c 100644
--- a/tests/testthat/test_pipeop_scale.R
+++ b/tests/testthat/test_pipeop_scale.R
@@ -1,7 +1,7 @@
 context("PipeOpScale")
 
 test_that("PipeOpScale - basic properties", {
-  op = PipeOpScale$new()
+  op = po("scale")
   task = mlr_tasks$get("iris")
   expect_datapreproc_pipeop_class(PipeOpScale, task = task)
 })
@@ -13,7 +13,7 @@ test_that("basic properties", {
 
   expect_datapreproc_pipeop_class(PipeOpScale, task = mlr_tasks$get("pima"))
 
-  expect_datapreproc_pipeop_class(PipeOpScale, list(param_vals = list(robust = TRUE)), task = mlr_tasks$get("iris"))
+  expect_datapreproc_pipeop_class(PipeOpScale, task = mlr_tasks$get("iris"), param_vals = list(robust = TRUE))
 
 
   data = data.table(
@@ -31,7 +31,7 @@ test_that("basic properties", {
   task = TaskClassif$new(id = "test", target = "class",
     as_data_backend(data))
 
-  po = PipeOpScale$new()
+  po = po("scale")
 
   po$param_set$values[c("center", "scale")] = c(FALSE, FALSE)
 
diff --git a/tests/testthat/test_pipeop_scalemaxabs.R b/tests/testthat/test_pipeop_scalemaxabs.R
index ae4386945..49e1c2cd7 100644
--- a/tests/testthat/test_pipeop_scalemaxabs.R
+++ b/tests/testthat/test_pipeop_scalemaxabs.R
@@ -2,7 +2,7 @@ context("PipeOpScaleMaxAbs")
 
 test_that("PipeOpScaleMaxAbs - basic properties", {
   task = mlr_tasks$get("iris")
-  op = PipeOpScaleMaxAbs$new()
+  op = po("scalemaxabs")
   expect_datapreproc_pipeop_class(PipeOpScaleMaxAbs, task = task)
 
   set.seed(1234)
@@ -15,7 +15,7 @@ test_that("PipeOpScaleMaxAbs - basic properties", {
 test_that("Other maxabs", {
   task = mlr_tasks$get("iris")
 
-  op = PipeOpScaleMaxAbs$new(param_vals = list(maxabs = 0.6))
+  op = po("scalemaxabs", maxabs = 0.6)
   set.seed(1234)
   resdt = op$train(list(task))[[1L]]$data()
   expect_true(all(sapply(resdt[, 2:5], max) == 0.6))
diff --git a/tests/testthat/test_pipeop_scalerange.R b/tests/testthat/test_pipeop_scalerange.R
index a998ba84c..2be622876 100644
--- a/tests/testthat/test_pipeop_scalerange.R
+++ b/tests/testthat/test_pipeop_scalerange.R
@@ -2,7 +2,7 @@ context("PipeOpScaleRange")
 
 test_that("PipeOpScaleRange - basic properties", {
   task = mlr_tasks$get("iris")
-  op = PipeOpScaleRange$new()
+  op = po("scalerange")
 
   expect_datapreproc_pipeop_class(PipeOpScaleRange, task = task)
 
@@ -15,7 +15,7 @@ test_that("PipeOpScaleRange - basic properties", {
 
 test_that("Other maxabs", {
   task = mlr_tasks$get("iris")
-  op = PipeOpScaleRange$new(param_vals = list(upper = 0.6, lower = 0.2))
+  op = po("scalerange", upper = 0.6, lower = 0.2)
   set.seed(1234)
   resdt = op$train(list(task))[[1]]$data()
   resdt.max = sapply(resdt[, 2:5], max)
diff --git a/tests/testthat/test_pipeop_select.R b/tests/testthat/test_pipeop_select.R
index 279e5e8f1..17b26c43f 100644
--- a/tests/testthat/test_pipeop_select.R
+++ b/tests/testthat/test_pipeop_select.R
@@ -1,7 +1,7 @@
 context("PipeOpSelect")
 
 test_that("select", {
-  op = PipeOpSelect$new()
+  op = po("select")
   expect_pipeop(op)
 
   # Generic tests
@@ -9,11 +9,11 @@ test_that("select", {
   expect_datapreproc_pipeop_class(PipeOpSelect, task = mlr_tasks$get("iris"))
 
   expect_datapreproc_pipeop_class(PipeOpSelect, task = mlr_tasks$get("iris"),
-    constargs = list(param_vals = list(selector = selector_grep("^Petal"))))
+    constargs = list(), param_vals = list(selector = selector_grep("^Petal")))
 
 
   # Selects the columns we expect it to select
-  po = PipeOpSelect$new()
+  po = po("select")
   expect_equal(po$train(list(tsk("iris")))[[1]]$data(), mlr_tasks$get("iris")$data())
 
   po$param_set$values$selector = selector_grep("^Petal")
diff --git a/tests/testthat/test_pipeop_smote.R b/tests/testthat/test_pipeop_smote.R
index e53783328..b4fdd7553 100644
--- a/tests/testthat/test_pipeop_smote.R
+++ b/tests/testthat/test_pipeop_smote.R
@@ -10,7 +10,7 @@ test_that("PipeOpSmote - basic properties", {
   expect_datapreproc_pipeop_class(PipeOpSmote,
     task = task, predict_like_train = FALSE, deterministic_train = FALSE)
 
-  op = PipeOpSmote$new(param_vals = list(K = 3))
+  op = po("smote", K = 3)
   set.seed(1234)
   result = train_pipeop(op, inputs = list(task))
 
@@ -24,7 +24,7 @@ test_that("compare to smotefamily::SMOTE", {
   data = smotefamily::sample_generator(1000, ratio = 0.80)
   data$result = as.factor(data$result)
   task = TaskClassif$new(id = "unbalanced", backend = data, target = "result")
-  op = PipeOpSmote$new(param_vals = list(K = 3))
+  op = po("smote", K = 3)
   set.seed(1234)
   result = train_pipeop(op, inputs = list(task))
 
@@ -37,7 +37,7 @@ test_that("compare to smotefamily::SMOTE", {
 test_that("PipeOpSmote - handling of feature named 'class'", {
   skip_if_not_installed("smotefamily")
 
-  op = PipeOpSmote$new()
+  op = po("smote")
 
   df = data.frame(
     target = factor(sample(c("c1", "c2"), size = 200, replace = TRUE, prob = c(0.1, 0.9))),
diff --git a/tests/testthat/test_pipeop_smotenc.R b/tests/testthat/test_pipeop_smotenc.R
index befe26683..b2198293b 100644
--- a/tests/testthat/test_pipeop_smotenc.R
+++ b/tests/testthat/test_pipeop_smotenc.R
@@ -12,7 +12,7 @@ test_that("PipeOpSmoteNC - basic properties", {
 test_that("PipeOpSmoteNC - train works as intended", {
   skip_if_not_installed("themis")
 
-  op = PipeOpSmoteNC$new()
+  op = po("smotenc")
   df_unbalanced = data.frame(
     class = factor(rep(c("pos", "neg"), times = c(150, 50))),
     x1 = rnorm(200),
diff --git a/tests/testthat/test_pipeop_spatialsign.R b/tests/testthat/test_pipeop_spatialsign.R
index f475c6cb6..b4b85214c 100644
--- a/tests/testthat/test_pipeop_spatialsign.R
+++ b/tests/testthat/test_pipeop_spatialsign.R
@@ -2,14 +2,14 @@ context("PipeOpSpatialSign")
 
 test_that("PipeOpSpatialSign - general functionality", {
   task = mlr_tasks$get("iris")
-  op = PipeOpSpatialSign$new()
+  op = po("spatialsign")
   expect_datapreproc_pipeop_class(PipeOpSpatialSign, task = task)
 })
 
 test_that("PipeOpSpatialSign - receive expected result", {
   # Length 1
   task = mlr_tasks$get("iris")
-  op = PipeOpSpatialSign$new(param_vals = list(norm = 2, length = 1L))
+  op = po("spatialsign", norm = 2, length = 1L)
   result = train_pipeop(op, inputs = list(task))
   t = apply(result[[1]]$data()[, 2:5], MARGIN = 1, function(x) {
     expect_equal(sqrt(sum(x^2)), 1)
@@ -21,7 +21,7 @@ test_that("PipeOpSpatialSign - receive expected result", {
 
   # Length 2
   task = mlr_tasks$get("iris")
-  op = PipeOpSpatialSign$new(param_vals = list(norm = 2, length = 2))
+  op = po("spatialsign", norm = 2, length = 2)
   result = train_pipeop(op, inputs = list(task))
   t = apply(result[[1]]$data()[, 2:5], MARGIN = 1, function(x) {
     expect_equal(sqrt(sum(x^2)), 2)
@@ -33,7 +33,7 @@ test_that("PipeOpSpatialSign - receive expected result", {
 
   # norm 1
   task = mlr_tasks$get("iris")
-  op = PipeOpSpatialSign$new(param_vals = list(norm = 1, length = 1L))
+  op = po("spatialsign", norm = 1, length = 1L)
   result = train_pipeop(op, inputs = list(task))
   t = apply(result[[1]]$data()[, 2:5], MARGIN = 1, function(x) {
     expect_equal(sum(abs(x)), 1)
@@ -45,7 +45,7 @@ test_that("PipeOpSpatialSign - receive expected result", {
 
   # norm inf
   task = mlr_tasks$get("iris")
-  op = PipeOpSpatialSign$new(param_vals = list(norm = Inf, length = 1L))
+  op = po("spatialsign", norm = Inf, length = 1L)
   result = train_pipeop(op, inputs = list(task))
   t = apply(result[[1]]$data()[, 2:5], MARGIN = 1, function(x) {
     expect_equal(max(abs(x)), 1)
diff --git a/tests/testthat/test_pipeop_subsample.R b/tests/testthat/test_pipeop_subsample.R
index bab46e611..982a946d1 100644
--- a/tests/testthat/test_pipeop_subsample.R
+++ b/tests/testthat/test_pipeop_subsample.R
@@ -1,19 +1,19 @@
 context("PipeOpSubsample")
 
 test_that("PipeOpSubsample - basic properties", {
-  op = PipeOpSubsample$new()
+  op = po("subsample")
   task = mlr_tasks$get("iris")
   expect_datapreproc_pipeop_class(PipeOpSubsample, task = task, predict_like_train = FALSE, deterministic_train = FALSE)
 })
 
 test_that("PipeOpSubsample works unstratified", {
   task = mlr_tasks$get("iris")
-  po = PipeOpSubsample$new()
+  po = po("subsample")
 
   tnew = train_pipeop(po, list(task))
   expect_true(tnew[[1]]$nrow == ceiling(po$param_set$values$frac * task$nrow))
 
-  po = PipeOpSubsample$new()
+  po = po("subsample")
   po$param_set$values$frac = 0.7
 
   tnew = train_pipeop(po, list(task))
@@ -25,11 +25,11 @@ test_that("PipeOpSubsample works unstratified", {
   expect_equal(pnew[[1]], task)
 
   task = mlr_tasks$get("iris")$filter(1L)  # actually has to be an int m(
-  po = PipeOpSubsample$new()
+  po = po("subsample")
   tnew = train_pipeop(po, list(task))
 
   task = mlr_tasks$get("boston_housing_classic")$filter(1L)  # actually has to be an int m(
-  po = PipeOpSubsample$new()
+  po = po("subsample")
   po$param_set$values = list(stratify = TRUE, frac = 0.6)
   expect_error(train_pipeop(po, list(task)))
 })
@@ -37,7 +37,7 @@ test_that("PipeOpSubsample works unstratified", {
 test_that("PipeOpSubsample works stratified", {
   task = mlr_tasks$get("iris")
 
-  po = PipeOpSubsample$new()
+  po = po("subsample")
   po$param_set$values = list(stratify = TRUE, use_groups = FALSE, frac = 0.6, replace = FALSE)
   expect_class(po, "PipeOpSubsample")
 
@@ -47,7 +47,7 @@ test_that("PipeOpSubsample works stratified", {
   expect_equal(table(tnew[[1]]$data(cols = tnew[[1]]$target_names)),
     table(list(Species = rep(c("setosa", "versicolor", "virginica"), 30))))
 
-  po = PipeOpSubsample$new()
+  po = po("subsample")
   po$param_set$values = list(stratify = TRUE, use_groups = FALSE, frac = 0.6, replace = TRUE)
   expect_class(po, "PipeOpSubsample")
 
@@ -69,7 +69,7 @@ test_that("PipeOpSubsample works stratified", {
 })
 
 test_that("PipeOpSubsample - use_groups - Sanity Checks", {
-  op = PipeOpSubsample$new()
+  op = po("subsample")
   op$param_set$set_values(frac = 0.5)
 
   df_two = data.frame(
@@ -125,7 +125,7 @@ test_that("PipeOpSubsample - use_groups - Sanity Checks", {
 })
 
 test_that("PipeOpSubsample - use_groups - Modified row_roles$use", {
-  op = PipeOpSubsample$new()
+  op = po("subsample")
   op$param_set$set_values(replace = TRUE)
 
   test_df = data.frame(
@@ -161,7 +161,7 @@ test_that("PipeOpSubsample - use_groups - Modified row_roles$use", {
 })
 
 test_that("PipeOpSubsample - use_groups - Equal group sizes", {
-  op = PipeOpSubsample$new()
+  op = po("subsample")
 
   # Data with groups of the same size
   test_df = data.frame(
@@ -196,7 +196,7 @@ test_that("PipeOpSubsample - use_groups - Equal group sizes", {
 })
 
 test_that("PipeOpSubsample - use_groups - Large variance in group sizes", {
-  op = PipeOpSubsample$new()
+  op = po("subsample")
 
   # Data with one very large group
   set.seed(2024)
diff --git a/tests/testthat/test_pipeop_targetinvert.R b/tests/testthat/test_pipeop_targetinvert.R
index fe8def34b..fe12bdb40 100644
--- a/tests/testthat/test_pipeop_targetinvert.R
+++ b/tests/testthat/test_pipeop_targetinvert.R
@@ -3,7 +3,7 @@ context("PipeOpTargetInvert")
 test_that("PipeOpTargetInvert - basic properties", {
   expect_pipeop_class(PipeOpTargetInvert, list(id = "po"))
 
-  po = PipeOpTargetInvert$new("po")
+  po = po("targetinvert", id = "po")
 
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 2L)
diff --git a/tests/testthat/test_pipeop_targetmutate.R b/tests/testthat/test_pipeop_targetmutate.R
index 9c4a1a119..0fcba1a21 100644
--- a/tests/testthat/test_pipeop_targetmutate.R
+++ b/tests/testthat/test_pipeop_targetmutate.R
@@ -2,16 +2,16 @@ context("PipeOpTargetMutate")
 
 test_that("PipeOpTargetMutate - basic properties", {
   skip_if_not_installed("rpart")
-  expect_pipeop_class(PipeOpTargetMutate, list(id = "po"))
+  expect_pipeop_class(PipeOpTargetMutate, list())
 
-  po = PipeOpTargetMutate$new("po")
+  po = PipeOpTargetMutate$new()
 
   expect_pipeop(po)
 
   g = Graph$new()
   g$add_pipeop(PipeOpTargetMutate$new())
   g$add_pipeop(LearnerRegrRpart$new())
-  g$add_pipeop(PipeOpTargetInvert$new())
+  g$add_pipeop(po("targetinvert"))
   g$add_edge(src_id = "targetmutate", dst_id = "targetinvert", src_channel = 1L, dst_channel = 1L)
   g$add_edge(src_id = "targetmutate", dst_id = "regr.rpart", src_channel = 2L, dst_channel = 1L)
   g$add_edge(src_id = "regr.rpart", dst_id = "targetinvert", src_channel = 1L, dst_channel = 2L)
@@ -41,14 +41,14 @@ test_that("PipeOpTargetMutate - basic properties", {
 test_that("PipeOpTargetMutate - log base 2 trafo", {
   skip_if_not_installed("rpart")
   g = Graph$new()
-  g$add_pipeop(PipeOpTargetMutate$new("logtrafo",
-    param_vals = list(
-      trafo = function(x) log(x, base = 2),
-      inverter = function(x) list(response = 2 ^ x$response))
-    )
+  g$add_pipeop(PipeOpTargetMutate$new()$configure(
+    id = "logtrafo",
+    trafo = function(x) log(x, base = 2),
+    inverter = function(x) list(response = 2 ^ x$response))
   )
+
   g$add_pipeop(LearnerRegrRpart$new())
-  g$add_pipeop(PipeOpTargetInvert$new())
+  g$add_pipeop(po("targetinvert"))
   g$add_edge(src_id = "logtrafo", dst_id = "targetinvert", src_channel = 1L, dst_channel = 1L)
   g$add_edge(src_id = "logtrafo", dst_id = "regr.rpart", src_channel = 2L, dst_channel = 1L)
   g$add_edge(src_id = "regr.rpart", dst_id = "targetinvert", src_channel = 1L, dst_channel = 2L)
diff --git a/tests/testthat/test_pipeop_targettrafo.R b/tests/testthat/test_pipeop_targettrafo.R
index a2719b6d5..133554a48 100644
--- a/tests/testthat/test_pipeop_targettrafo.R
+++ b/tests/testthat/test_pipeop_targettrafo.R
@@ -3,7 +3,7 @@ context("PipeOpTargetTrafo")
 test_that("PipeOpTargetTrafo - basic properties", {
   expect_pipeop_class(PipeOpTargetTrafo, list(id = "po"))
 
-  po = PipeOpTargetTrafo$new("po")
+  po = PipeOpTargetTrafo$new(id = "po")
 
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1L)
diff --git a/tests/testthat/test_pipeop_targettrafoscalerange.R b/tests/testthat/test_pipeop_targettrafoscalerange.R
index e291bd345..5cd0a205d 100644
--- a/tests/testthat/test_pipeop_targettrafoscalerange.R
+++ b/tests/testthat/test_pipeop_targettrafoscalerange.R
@@ -4,7 +4,7 @@ test_that("PipeOpTargetTrafoScaleRange - basic properties", {
   skip_if_not_installed("rpart")
   expect_pipeop_class(PipeOpTargetTrafoScaleRange, list(id = "po"))
 
-  po = PipeOpTargetTrafoScaleRange$new()
+  po = po("targettrafoscalerange")
 
   expect_pipeop(po)
 
@@ -30,7 +30,7 @@ test_that("PipeOpTargetTrafoScaleRange - basic properties", {
   g = Graph$new()
   g$add_pipeop(po)
   g$add_pipeop(LearnerRegrRpart$new())
-  g$add_pipeop(PipeOpTargetInvert$new())
+  g$add_pipeop(po("targetinvert"))
   g$add_edge(src_id = "targettrafoscalerange", dst_id = "targetinvert", src_channel = 1L, dst_channel = 1L)
   g$add_edge(src_id = "targettrafoscalerange", dst_id = "regr.rpart", src_channel = 2L, dst_channel = 1L)
   g$add_edge(src_id = "regr.rpart", dst_id = "targetinvert", src_channel = 1L, dst_channel = 2L)
@@ -50,7 +50,7 @@ test_that("PipeOpTargetTrafoScaleRange - basic properties", {
 
 test_that("PipeOpTargetTrafoScaleRange - row use subsets", {
   skip_if_not_installed("rpart")
-  po = PipeOpTargetTrafoScaleRange$new()
+  po = po("targettrafoscalerange")
 
   task = mlr_tasks$get("boston_housing_classic")
 
@@ -71,9 +71,9 @@ test_that("PipeOpTargetTrafoScaleRange - row use subsets", {
 
   predict_out1 = learner$predict(taskfull)
 
-  g = PipeOpFixFactors$new() %>>% po
+  g = po("fixfactors") %>>% po
   g$add_pipeop(LearnerRegrRpart$new())
-  g$add_pipeop(PipeOpTargetInvert$new())
+  g$add_pipeop(po("targetinvert"))
   g$add_edge(src_id = "targettrafoscalerange", dst_id = "targetinvert", src_channel = 1L, dst_channel = 1L)
   g$add_edge(src_id = "targettrafoscalerange", dst_id = "regr.rpart", src_channel = 2L, dst_channel = 1L)
   g$add_edge(src_id = "regr.rpart", dst_id = "targetinvert", src_channel = 1L, dst_channel = 2L)
diff --git a/tests/testthat/test_pipeop_task_preproc.R b/tests/testthat/test_pipeop_task_preproc.R
index 84fed91a0..875585714 100644
--- a/tests/testthat/test_pipeop_task_preproc.R
+++ b/tests/testthat/test_pipeop_task_preproc.R
@@ -3,7 +3,7 @@ context("PipeOpTaskPreproc")
 test_that("PipeOpTaskPreproc - basic properties", {
   expect_pipeop_class(PipeOpTaskPreproc, list(id = "potask"))
 
-  po = PipeOpTaskPreproc$new("potask")
+  po = PipeOpTaskPreproc$new(id = "potask")
 
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1)
@@ -28,11 +28,13 @@ test_that("Wrong affect_columns errors", {
     )
   )
   tsk = tsk("boston_housing_classic")
-  po = POPP$new("foo", param_vals = list(affect_columns = is.factor))
+  po = POPP$new(id = "foo")
+  po$param_set$set_values(.values = list(affect_columns = is.factor))
   expect_pipeop(po)
   expect_error(po$train(list(tsk)), "affected_cols")
 
-  po = POPP$new("foo", param_vals = list(affect_columns = function(x) x$target_names))
+  po = POPP$new(id = "foo")
+  po$param_set$set_values(.values = list(affect_columns = function(x) x$target_names))
   expect_error(po$train(list(tsk)), "affected_cols")
 })
 
@@ -45,7 +47,8 @@ test_that("PipeOpTaskPreproc - fix for #864 works", {
       .predict_dt = function(dt, levels) dt
     )
   )
-  po = POPP$new("test", param_vals = list(affect_columns = selector_name("Petal.Length")))
+  po = POPP$new(id = "test")
+  po$param_set$set_values(.values = list(affect_columns = selector_name("Petal.Length")))
   expect_pipeop(po)
   task = mlr_tasks$get("iris")
   task$col_roles$order = "Petal.Width"
diff --git a/tests/testthat/test_pipeop_textvectorizer.R b/tests/testthat/test_pipeop_textvectorizer.R
index 4f13fa4b3..d524abc37 100644
--- a/tests/testthat/test_pipeop_textvectorizer.R
+++ b/tests/testthat/test_pipeop_textvectorizer.R
@@ -22,7 +22,7 @@ test_that("PipeOpTextVectorizer - basic properties", {
   }))
   task$cbind(dt)
 
-  op = PipeOpTextVectorizer$new(param_vals = list(stopwords_language = "none"))
+  op = po("textvectorizer", stopwords_language = "none")
   expect_pipeop(op)
   result = op$train(list(task))[[1]]
   expect_task(result)
@@ -65,7 +65,7 @@ test_that("PipeOpTextVectorizer - tfidf works", {
   }))
   task$cbind(dt)
 
-  op = PipeOpTextVectorizer$new(param_vals = list(stopwords_language = "none", scheme_df = "inverse"))
+  op = po("textvectorizer", stopwords_language = "none", scheme_df = "inverse")
   expect_pipeop(op)
   result = op$train(list(task))[[1]]
   expect_task(result)
@@ -136,7 +136,7 @@ test_that("PipeOpTextVectorizer - bigrams", {
   }))
   task$cbind(dt)
 
-  op = PipeOpTextVectorizer$new(param_vals = list(stopwords_language = "none"))
+  op = po("textvectorizer", stopwords_language = "none")
   expect_pipeop(op)
   result = op$train(list(task))[[1]]
   expect_task(result)
@@ -174,7 +174,7 @@ test_that("PipeOpTextVectorizer - integer sequence", {
   }))
   task$cbind(dt)
 
-  op = PipeOpTextVectorizer$new(param_vals = list(stopwords_language = "none", return_type = "integer_sequence"))
+  op = po("textvectorizer", stopwords_language = "none", return_type = "integer_sequence")
   expect_pipeop(op)
   result = op$train(list(task))[[1]]
   expect_task(result)
@@ -198,7 +198,7 @@ test_that("PipeOpTextVectorizer - integer sequence", {
   expect_true(prd$nrow == 0L)
 
   # Pad pad0
-  op = PipeOpTextVectorizer$new(param_vals = list(stopwords_language = "none", return_type = "integer_sequence", sequence_length = 20L))
+  op = po("textvectorizer", stopwords_language = "none", return_type = "integer_sequence", sequence_length = 20L)
   result = op$train(list(task))[[1]]
   dt2 = result$data()
   expect_true(ncol(dt2) == 25L)
@@ -207,7 +207,7 @@ test_that("PipeOpTextVectorizer - integer sequence", {
   expect_true(prd$nrow == 1L)
 
   # Cut pad0
-  op = PipeOpTextVectorizer$new(param_vals = list(stopwords_language = "none", return_type = "integer_sequence", sequence_length = 4L))
+  op = po("textvectorizer", stopwords_language = "none", return_type = "integer_sequence", sequence_length = 4L)
   result = op$train(list(task))[[1]]
   dt2 = result$data()
   expect_true(ncol(dt2) == 9L)
@@ -216,7 +216,7 @@ test_that("PipeOpTextVectorizer - integer sequence", {
   expect_true(prd$nrow == 1L)
 
   # OOB Newdata
-  op = PipeOpTextVectorizer$new(param_vals = list(stopwords_language = "none", return_type = "integer_sequence", sequence_length = 4L))
+  op = po("textvectorizer", stopwords_language = "none", return_type = "integer_sequence", sequence_length = 4L)
   result = op$train(list(task$clone()$filter(2:3)))[[1]]
   prd = op$predict(list(task$clone()$filter(rows = 1L)))[[1]]
   expect_true(sum(prd$data()[, paste0("txt.V", 1:4)]) == 0)
@@ -245,7 +245,7 @@ test_that("PipeOpTextVectorizer - factor sequence", {
   }))
   task$cbind(dt)
 
-  op = PipeOpTextVectorizer$new(param_vals = list(stopwords_language = "none", return_type = "factor_sequence"))
+  op = po("textvectorizer", stopwords_language = "none", return_type = "factor_sequence")
   expect_pipeop(op)
   result = op$train(list(task))[[1]]
   expect_task(result)
@@ -263,7 +263,7 @@ test_that("PipeOpTextVectorizer - factor sequence", {
 
   # Pad pad0
   nona = function(x) {x[!is.na(x)]}
-  op = PipeOpTextVectorizer$new(param_vals = list(stopwords_language = "none", return_type = "factor_sequence", sequence_length = 20L))
+  op = po("textvectorizer", stopwords_language = "none", return_type = "factor_sequence", sequence_length = 20L)
   result = op$train(list(task))[[1]]
   dt2 = result$data()
   expect_true(ncol(dt2) == 25L)
@@ -272,7 +272,7 @@ test_that("PipeOpTextVectorizer - factor sequence", {
   expect_true(prd$nrow == 1L)
 
   # Cut pad0
-  op = PipeOpTextVectorizer$new(param_vals = list(stopwords_language = "none", return_type = "factor_sequence", sequence_length = 4L))
+  op = po("textvectorizer", stopwords_language = "none", return_type = "factor_sequence", sequence_length = 4L)
   result = op$train(list(task))[[1]]
   dt2 = result$data()
   expect_true(ncol(dt2) == 9L)
@@ -281,7 +281,7 @@ test_that("PipeOpTextVectorizer - factor sequence", {
   expect_true(prd$nrow == 1L)
 
   # OOB Newdata
-  op = PipeOpTextVectorizer$new(param_vals = list(stopwords_language = "none", return_type = "factor_sequence", sequence_length = 4L))
+  op = po("textvectorizer", stopwords_language = "none", return_type = "factor_sequence", sequence_length = 4L)
   result = op$train(list(task$clone()$filter(2:3)))[[1]]
   prd = op$predict(list(task$clone()$filter(rows = 1L)))[[1]]
   expect_true(all(is.na(prd$data()[, paste0("txt.V", 1:4)])), info = paste(capture.output(print(prd$data())), collapse = "\n"))
diff --git a/tests/testthat/test_pipeop_threshold.R b/tests/testthat/test_pipeop_threshold.R
index 578f0caeb..bd7f0d844 100644
--- a/tests/testthat/test_pipeop_threshold.R
+++ b/tests/testthat/test_pipeop_threshold.R
@@ -6,7 +6,7 @@ test_that("threshold general", {
   expect_true(po_thr$id == "threshold")
   expect_equal(po_thr$param_set$values$thresholds, 0.5)
 
-  po_thr = po("threshold", param_vals = list(thresholds = c(0.3, 0.5)))
+  po_thr = po("threshold", thresholds = c(0.3, 0.5))
   expect_pipeop(po_thr)
   expect_true(po_thr$id == "threshold")
   expect_true(all(po_thr$param_set$values$thresholds == c(0.3, 0.5)))
@@ -21,7 +21,7 @@ test_that("thresholding works for binary", {
   t = tsk("german_credit")$filter(rows = 1:100)
 
   # works with no args
-  po_thr = PipeOpThreshold$new()
+  po_thr = po("threshold")
   expect_pipeop(po_thr)
   gr = po_lrn %>>% po_thr
   gr$train(t)
@@ -71,7 +71,7 @@ test_that("thresholding works for multiclass", {
   t = tsk("iris")
 
   # works with no args
-  po_thr = PipeOpThreshold$new()
+  po_thr = po("threshold")
   expect_pipeop(po_thr)
   gr = po_lrn %>>% po_thr
   gr$train(t)
@@ -85,7 +85,7 @@ test_that("thresholding works for multiclass", {
   expect_prediction(prd[[1]])
 
   # works with args
-  po_thr = PipeOpThreshold$new(param_vals = list(thresholds = c(0.3, 0.4, 0.3)))
+  po_thr = po("threshold", thresholds = c(0.3, 0.4, 0.3))
   expect_pipeop(po_thr)
   gr = po_lrn %>>% po_thr
   gr$train(t)
@@ -94,8 +94,8 @@ test_that("thresholding works for multiclass", {
   expect_true(all(gr$param_set$values$threshold.thresholds == c(0.3, 0.4, 0.3)))
 
   # works with named args
-  po_thr = PipeOpThreshold$new(param_vals =
-    list(thresholds = c("virginica" = 0.3, "versicolor" = 0.4, "setosa" = 0.3)))
+  po_thr = po("threshold",
+    thresholds = c("virginica" = 0.3, "versicolor" = 0.4, "setosa" = 0.3))
   expect_pipeop(po_thr)
   gr = po_lrn %>>% po_thr
   gr$train(t)
@@ -104,13 +104,13 @@ test_that("thresholding works for multiclass", {
   expect_true(all(gr$param_set$values$threshold.thresholds == c(0.3, 0.4, 0.3)))
 
   # errors with wrong args
-  po_thr = PipeOpThreshold$new(param_vals = list(thresholds = c(0.3, 0.4)))
+  po_thr = po("threshold", thresholds = c(0.3, 0.4))
   gr = po_lrn %>>% po_thr
   gr$train(t)
   expect_error(gr$predict(t), "must have length one or length equal to number of outcome levels")
 
-  po_thr = PipeOpThreshold$new(param_vals =
-    list(thresholds = c("foo" = 0.3, "versicolor" = 0.4, "setosa" = 0.3)))
+  po_thr = po("threshold",
+    thresholds = c("foo" = 0.3, "versicolor" = 0.4, "setosa" = 0.3))
   gr = po_lrn %>>% po_thr
   gr$train(t)
   expect_error(gr$predict(t))
diff --git a/tests/testthat/test_pipeop_tomek.R b/tests/testthat/test_pipeop_tomek.R
index edb39887b..2e149ca03 100644
--- a/tests/testthat/test_pipeop_tomek.R
+++ b/tests/testthat/test_pipeop_tomek.R
@@ -11,7 +11,7 @@ test_that("PipeOpTomek - basic properties", {
 test_that("PipeOpTomek - train works as intended", {
   skip_if_not_installed("themis")
 
-  op = PipeOpTomek$new()
+  op = po("tomek")
 
   # Compare to themis::tomek for task with only numeric features
   task = mlr_tasks$get("iris")
diff --git a/tests/testthat/test_pipeop_unbranch.R b/tests/testthat/test_pipeop_unbranch.R
index 823798ff7..b6d54058a 100644
--- a/tests/testthat/test_pipeop_unbranch.R
+++ b/tests/testthat/test_pipeop_unbranch.R
@@ -2,7 +2,7 @@ context("PipeOpUnbranch")
 
 
 test_that("PipeOpUnbranch - basic properties", {
-  po = PipeOpUnbranch$new(3)
+  po = po("unbranch", options = 3)
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 3)
   expect_data_table(po$output, nrows = 1)
@@ -10,7 +10,7 @@ test_that("PipeOpUnbranch - basic properties", {
   expect_pipeop_class(PipeOpUnbranch, list(1))
   expect_pipeop_class(PipeOpUnbranch, list(3))
 
-  po = PipeOpUnbranch$new()
+  po = po("unbranch")
   expect_pipeop(po)
   expect_data_table(po$input, nrows = 1)
 })
@@ -20,7 +20,7 @@ test_that("PipeOpUnbranch - train and predict", {
   t1 = mlr_tasks$get("iris")
   t2 = mlr_tasks$get("pima")
 
-  ubranch = PipeOpUnbranch$new(2)
+  ubranch = po("unbranch", options = 2)
   expect_true(ubranch$innum == 2L)
 
   tout = train_pipeop(ubranch, (list(t1, NO_OP)))
@@ -34,7 +34,7 @@ test_that("PipeOpUnbranch - train and predict", {
   expect_error(ubranch$train(list(t1, t2)))
   expect_error(ubranch$train(list(t1)))
 
-  ubranch = PipeOpUnbranch$new()
+  ubranch = po("unbranch")
   expect_true(ubranch$innum == 1)
 
   tout = train_pipeop(ubranch, (list(t1, NO_OP)))
@@ -45,7 +45,7 @@ test_that("PipeOpUnbranch - train and predict", {
   expect_true(length(pout) == 1)
   expect_equal(pout[[1]], t2)
 
-  ubranch = PipeOpUnbranch$new()
+  ubranch = po("unbranch")
   tout = train_pipeop(ubranch, (list(t1)))
   expect_class(tout[[1]], "Task")
   expect_true(length(tout) == 1L)
diff --git a/tests/testthat/test_pipeop_updatetarget.R b/tests/testthat/test_pipeop_updatetarget.R
index 67f1425e4..a91d27085 100644
--- a/tests/testthat/test_pipeop_updatetarget.R
+++ b/tests/testthat/test_pipeop_updatetarget.R
@@ -2,7 +2,8 @@ context("PipeOpUpdateTarget")
 
 test_that("update target multi to binary", {
   trafo_fun = function(x) {factor(ifelse(x == "setosa", "setosa", "other"))}
-  pom = PipeOpUpdateTarget$new(param_vals = list(trafo = trafo_fun, new_target_name = "setosa"))
+  pom = PipeOpUpdateTarget$new()
+  pom$param_set$set_values(.values = list(trafo = trafo_fun, new_target_name = "setosa"))
   expect_pipeop(pom)
   newtsk = pom$train(list(tsk("iris")))[[1]]
   expect_task(newtsk)
@@ -18,7 +19,8 @@ test_that("update target multi to binary", {
 
 test_that("update target regr to classif", {
   trafo_fun = function(x) {factor(ifelse(x < 25, "<25", ">=25"))}
-  pom = PipeOpUpdateTarget$new(param_vals = list(trafo = trafo_fun, new_target_name = "threshold_25", new_task_type = "classif"))
+  pom = PipeOpUpdateTarget$new()
+  pom$param_set$set_values(.values = list(trafo = trafo_fun, new_target_name = "threshold_25", new_task_type = "classif"))
   expect_pipeop(pom)
   newtsk = pom$train(list(tsk("boston_housing_classic")))[[1]]
   expect_task(newtsk)
@@ -36,7 +38,8 @@ test_that("update target classif to regr", {
   # this is e.g. used in mlr3ordinal for casting
   # orginal to regr
   trafo_fun = function(x) {map_dtc(x, as.numeric)}
-  pom = PipeOpUpdateTarget$new(param_vals = list(trafo = trafo_fun, new_target_name = "quality", new_task_type = "regr"))
+  pom = PipeOpUpdateTarget$new()
+  pom$param_set$set_values(.values = list(trafo = trafo_fun, new_target_name = "quality", new_task_type = "regr"))
   expect_pipeop(pom)
   newtsk = pom$train(list(tsk("wine")))[[1]]
   expect_true(inherits(newtsk, "TaskRegr"))
@@ -54,7 +57,8 @@ test_that("update target classif to regr", {
 test_that("update target same target", {
   # this is e.g. used in mlr3ordinal for casting
   # orginal to classif
-  pom = PipeOpUpdateTarget$new(param_vals = list(new_target_name = "type", new_task_type = "classif"))
+  pom = PipeOpUpdateTarget$new()
+  pom$param_set$set_values(.values = list(new_target_name = "type", new_task_type = "classif"))
   expect_pipeop(pom)
   newtsk = pom$train(list(tsk("wine")))[[1]]
   expect_task(newtsk)
@@ -69,7 +73,8 @@ test_that("update target same target", {
 })
 
 test_that("rename target", {
-  pom = PipeOpUpdateTarget$new(param_vals = list(new_target_name = "new_type"))
+  pom = PipeOpUpdateTarget$new()
+  pom$param_set$set_values(.values = list(new_target_name = "new_type"))
   expect_pipeop(pom)
   newtsk = pom$train(list(tsk("wine")))[[1]]
   expect_task(newtsk)
@@ -88,7 +93,8 @@ test_that("update resample and predict_newdata", {
   skip_if_not_installed("rpart")
   skip_on_cran()
   t = tsk("wine")
-  pom = PipeOpUpdateTarget$new(param_vals = list(new_target_name = "type", new_task_type = "classif"))
+  pom = PipeOpUpdateTarget$new()
+  pom$param_set$set_values(.values = list(new_target_name = "type", new_task_type = "classif"))
   g = GraphLearner$new(pom %>>% lrn("classif.rpart"))
   r = resample(t, g, rsmp("holdout"))
   expect_numeric(r$score()$classif.ce)
@@ -97,7 +103,8 @@ test_that("update resample and predict_newdata", {
 })
 
 test_that("make an existing feature a target", {
-  pom = PipeOpUpdateTarget$new(param_vals = list(new_target_name = "ash", new_task_type = "regr", drop_original_target = FALSE))
+  pom = PipeOpUpdateTarget$new()
+  pom$param_set$set_values(.values = list(new_target_name = "ash", new_task_type = "regr", drop_original_target = FALSE))
   expect_pipeop(pom)
   newtsk = pom$train(list(tsk("wine")))[[1]]
   expect_task(newtsk)
diff --git a/tests/testthat/test_pipeop_vtreat.R b/tests/testthat/test_pipeop_vtreat.R
index faacddc4d..4dbb5b1ee 100644
--- a/tests/testthat/test_pipeop_vtreat.R
+++ b/tests/testthat/test_pipeop_vtreat.R
@@ -3,7 +3,7 @@ context("PipeOpVtreat")
 test_that("PipeOpVtreat - basic properties", {
   skip_if_not_installed("vtreat")
 
-  expect_pipeop(PipeOpVtreat$new())
+  expect_pipeop(po("vtreat"))
 
   task_regr = mlr_tasks$get("boston_housing_classic")
   expect_datapreproc_pipeop_class(PipeOpVtreat, task = task_regr, deterministic_train = FALSE, deterministic_predict = FALSE)
@@ -18,7 +18,7 @@ test_that("PipeOpVtreat - basic properties", {
 test_that("PipeOpVtreat - Regression", {
   skip_if_not_installed("vtreat")
 
-  op = PipeOpVtreat$new()
+  op = po("vtreat")
 
   # clean task simply passes through
   clean_task = TaskRegr$new("vtreat_regr_clean", backend = data.frame(y = c(-1, 0, 1), x = c(1, 1, 1)), target = "y")
@@ -67,7 +67,7 @@ test_that("PipeOpVtreat - Regression", {
 test_that("PipeOpVtreat - Binary Classification", {
   skip_if_not_installed("vtreat")
 
-  op = PipeOpVtreat$new()
+  op = po("vtreat")
 
   # clean task simply passes through
   clean_task = TaskClassif$new("vtreat_binary_clean", backend = data.frame(y = as.factor(c(0, 0, 1, 1, 0)), x = c(1, 1, 1, 1, 1)), target = "y")
@@ -117,7 +117,7 @@ test_that("PipeOpVtreat - Binary Classification", {
 test_that("PipeOpVtreat - Multiclass Classification", {
   skip_if_not_installed("vtreat")
 
-  op = PipeOpVtreat$new()
+  op = po("vtreat")
 
   # clean task simply passes through
   clean_task = TaskClassif$new("vtreat_multiclass_clean", backend = data.frame(y = as.factor(c(-1, 0, 1)), x = c(1, 1, 1)), target = "y")
@@ -167,7 +167,7 @@ test_that("PipeOpVtreat - Multiclass Classification", {
 test_that("PipeOpVtreat - Edge Cases", {
   skip_if_not_installed("vtreat")
 
-  op = PipeOpVtreat$new()
+  op = po("vtreat")
 
   set.seed(3)
   dat = data.table(y = rnorm(12), x = as.factor(rep(c("a", "b", "c"), 4L)),
@@ -178,7 +178,7 @@ test_that("PipeOpVtreat - Edge Cases", {
   task$col_roles[[if ("weights_learner" %in% names(task)) "weights_learner" else "weight"]] = "weights"
   task$col_roles$feature = "x"
 
-  po = PipeOpVtreat$new()
+  po = po("vtreat")
   train_out1 = po$train(list(task))[[1L]]
   predict_out1 = po$predict(list(task))[[1L]]
 
diff --git a/tests/testthat/test_pipeop_yeojohnson.R b/tests/testthat/test_pipeop_yeojohnson.R
index f20e7514f..05cd16a0f 100644
--- a/tests/testthat/test_pipeop_yeojohnson.R
+++ b/tests/testthat/test_pipeop_yeojohnson.R
@@ -3,14 +3,14 @@ context("PipeOpYeoJohnson")
 test_that("PipeOpYeoJohnson - general functionality", {
   skip_if_not_installed("bestNormalize")
   task = mlr_tasks$get("iris")
-  op = PipeOpYeoJohnson$new()
+  op = po("yeojohnson")
   expect_datapreproc_pipeop_class(PipeOpYeoJohnson, task = task)
 })
 
 test_that("PipeOpYeoJohnson - receive expected result", {
   skip_if_not_installed("bestNormalize")
   task = mlr_tasks$get("iris")
-  op = PipeOpYeoJohnson$new(param_vals = list(standardize = FALSE))
+  op = po("yeojohnson", standardize = FALSE)
   result = train_pipeop(op, inputs = list(task))
   result.pred = predict_pipeop(op, inputs = list(task))
 
@@ -23,7 +23,7 @@ test_that("PipeOpYeoJohnson - receive expected result", {
   })
 
   # Set lower and upper value for lambda estimation
-  op = PipeOpYeoJohnson$new(param_vals = list(upper = 0.5, lower = 0))
+  op = po("yeojohnson", upper = 0.5, lower = 0)
   result = train_pipeop(op, inputs = list(task))
   lambda.new = unlist(lapply(op$state$bc[1:4], function(x) x$lambda))
   expect_true(all(lambda.new <= 0.5 & lambda.new >= 0))
diff --git a/tests/testthat/test_po.R b/tests/testthat/test_po.R
index eaff5c07f..3eada9669 100644
--- a/tests/testthat/test_po.R
+++ b/tests/testthat/test_po.R
@@ -12,12 +12,21 @@ test_that("mlr_pipeops access works", {
 
   expect_equal(
     po("scale", center = FALSE),
-    mlr_pipeops$get("scale", param_vals = list(center = FALSE))
+    {
+      x = mlr_pipeops$get("scale")
+      x$param_set$set_values(.values = list(center = FALSE))
+      x
+    }
   )
 
   expect_equal(
     po("scale", id = "sx", center = FALSE),
-    PipeOpScale$new(id = "sx", param_vals = list(center = FALSE))
+    {
+      x = PipeOpScale$new()
+      x$id = "sx"
+      x$param_set$set_values(.values = list(center = FALSE))
+      x
+    }
   )
 
   expect_equal(
@@ -37,17 +46,38 @@ test_that("mlr_pipeops access works", {
 
   expect_equal(
     po("learner", mlr_learners$get("classif.rpart"), xval = 1),
-    mlr_pipeops$get("learner", mlr_learners$get("classif.rpart"), param_vals = list(xval = 1))
+    {
+      x = mlr_pipeops$get("learner", mlr_learners$get("classif.rpart"))
+      x$param_set$set_values(.values = list(xval = 1))
+      x
+    }
   )
 
   expect_equal(
-    po("learner", mlr_learners$get("classif.rpart"), xval = 1, param_vals = list(cp = 0.5)),
-    mlr_pipeops$get("learner", mlr_learners$get("classif.rpart"), param_vals = list(xval = 1, cp = 0.5))
+    {
+      x = po("learner", mlr_learners$get("classif.rpart"), xval = 1)
+      x$param_set$set_values(.values = list(cp = 0.5))
+      x
+    },
+    {
+      x = mlr_pipeops$get("learner", mlr_learners$get("classif.rpart"))
+      x$param_set$set_values(.values = list(xval = 1, cp = 0.5))
+      x
+    }
   )
 
   expect_equal(
-    po("learner", mlr_learners$get("classif.rpart"), xval = 1, param_vals = list(cp = 0.5), id = "blabla"),
-    mlr_pipeops$get("learner", mlr_learners$get("classif.rpart"), param_vals = list(xval = 1, cp = 0.5), id = "blabla")
+    {
+      x = po("learner", mlr_learners$get("classif.rpart"), xval = 1, id = "blabla")
+      x$param_set$set_values(.values = list(cp = 0.5))
+      x
+    },
+    {
+      x = mlr_pipeops$get("learner", mlr_learners$get("classif.rpart"))
+      x$param_set$set_values(.values = list(xval = 1, cp = 0.5))
+      x$id = "blabla"
+      x
+    }
   )
 
   expect_error(po("learnerx"), "'learner'")
@@ -63,12 +93,16 @@ test_that("mlr_pipeops access works", {
 
   expect_equal(
     po("learner", dblrn$new(), key = 99),
-    mlr_pipeops$get("learner", dblrn$new(), param_vals = list(key = 99))
+    {
+      x = mlr_pipeops$get("learner", dblrn$new())
+      x$param_set$set_values(.values = list(key = 99))
+      x
+    }
   )
 
 
   expect_equal(
-    po("select", param_vals = list(selector = selector_all())),
+    po("select", selector = selector_all()),
     po(selector_all())
   )
 
@@ -79,7 +113,11 @@ test_that("mlr_pipeops access works", {
 
   expect_equal(
     po(dblrn$new(), key = 99),
-    mlr_pipeops$get("learner", dblrn$new(), param_vals = list(key = 99))
+    {
+      x = mlr_pipeops$get("learner", dblrn$new())
+      x$param_set$set_values(.values = list(key = 99))
+      x
+    }
   )
 
   polrn = po(dblrn$new(), key = 99)
@@ -119,7 +157,13 @@ test_that("mlr_pipeops multi-access works", {
 
   expect_equal(
     unname(pos("scale", center = FALSE)),
-    list(mlr_pipeops$get("scale", param_vals = list(center = FALSE)))
+    list(
+      {
+        x = mlr_pipeops$get("scale")
+        x$param_set$set_values(.values = list(center = FALSE))
+        x
+      }
+    )
   )
 
   expect_error(
@@ -129,13 +173,31 @@ test_that("mlr_pipeops multi-access works", {
 
   expect_equal(
     unname(pos(c("scale", "pca"), center = FALSE)),
-    list(mlr_pipeops$get("scale", param_vals = list(center = FALSE)), mlr_pipeops$get("pca", param_vals = list(center = FALSE)))
+    list(
+      {
+        x = mlr_pipeops$get("scale")
+        x$param_set$set_values(.values = list(center = FALSE))
+        x
+      },
+      {
+        x = mlr_pipeops$get("pca")
+        x$param_set$set_values(.values = list(center = FALSE))
+        x
+      }
+    )
   )
 
 
   expect_equal(
     unname(pos("scale", id = "sx", center = FALSE)),
-    list(PipeOpScale$new(id = "sx", param_vals = list(center = FALSE)))
+    list(
+      {
+        x = PipeOpScale$new()
+        x$id = "sx"
+        x$param_set$set_values(.values = list(center = FALSE))
+        x
+      }
+    )
   )
 
   expect_equal(
@@ -167,12 +229,22 @@ test_that("mlr_pipeops multi-access works", {
 
   expect_equal(
     unname(pos("learner", dblrn$new(), key = 99)),
-    list(mlr_pipeops$get("learner", dblrn$new(), param_vals = list(key = 99)))
+    list(
+      {
+        x = mlr_pipeops$get("learner", dblrn$new())
+        x$param_set$set_values(.values = list(key = 99))
+        x
+      }
+    )
   )
 
 
   expect_equal(
-    po("select", param_vals = list(selector = selector_all())),
+    {
+      x = po("select")
+      x$param_set$set_values(.values = list(selector = selector_all()))
+      x
+    },
     po(selector_all())
   )
 
@@ -183,7 +255,18 @@ test_that("mlr_pipeops multi-access works", {
 
   expect_equal(
     unname(pos(list(dblrn$new(), dblrn$new()), key = 99)),
-    list(mlr_pipeops$get("learner", dblrn$new(), param_vals = list(key = 99)), mlr_pipeops$get("learner", dblrn$new(), param_vals = list(key = 99)))
+    list(
+      {
+        x = mlr_pipeops$get("learner", dblrn$new())
+        x$param_set$set_values(.values = list(key = 99))
+        x
+      },
+      {
+        x = mlr_pipeops$get("learner", dblrn$new())
+        x$param_set$set_values(.values = list(key = 99))
+        x
+      }
+    )
   )
 
   expect_equal(unname(pos(character(0))), list())
diff --git a/tests/testthat/test_preproc.R b/tests/testthat/test_preproc.R
index f3c2e2242..82a85359c 100644
--- a/tests/testthat/test_preproc.R
+++ b/tests/testthat/test_preproc.R
@@ -107,7 +107,7 @@ test_that("preproc - basic sanity checks", {
 test_that("preproc - PipeOp processor", {
   task = tsk("iris")
   dt = task$data(cols = task$feature_names)
-  processor = PipeOpScale$new()
+  processor = po("scale")
   expected_train_out_task = processor$train(list(task))[[1L]]
   expected_predict_out_task = processor$predict(list(task))[[1L]]
   expected_train_out_dt = expected_train_out_task$data(cols = task$feature_names)
diff --git a/tests/testthat/test_resample.R b/tests/testthat/test_resample.R
index bf165d298..6d7c26fe9 100644
--- a/tests/testthat/test_resample.R
+++ b/tests/testthat/test_resample.R
@@ -3,9 +3,9 @@ context("resample")
 test_that("PipeOp - Resample", {
   skip_if_not_installed("rpart")
   task = mlr_tasks$get("iris")
-  op1 = PipeOpScale$new()
+op1 = po("scale")
   lrn = mlr_learners$get("classif.rpart")
-  op2 = PipeOpLearner$new(learner = lrn)
+op2 = po("learner", lrn)
   pp = GraphLearner$new(op2)
   resa = mlr_resamplings$get("cv")
   resa$param_set$values$folds = 2L
diff --git a/tests/testthat/test_typecheck.R b/tests/testthat/test_typecheck.R
index bb1b7de60..b7d761dc7 100644
--- a/tests/testthat/test_typecheck.R
+++ b/tests/testthat/test_typecheck.R
@@ -5,11 +5,11 @@ test_that("utility function works", {
   skip_if_not_installed("rpart")
   expect_null(get_r6_inheritance("data.table"))
 
-  expect_equal(get_r6_inheritance("PipeOp"), "PipeOp")
+  expect_equal(get_r6_inheritance("PipeOp"), c("PipeOp", "Mlr3Component"))
 
-  expect_equal(get_r6_inheritance("PipeOpEncode"), c("PipeOpEncode", "PipeOpTaskPreprocSimple", "PipeOpTaskPreproc", "PipeOp"))
+  expect_equal(get_r6_inheritance("PipeOpEncode"), c("PipeOpEncode", "PipeOpTaskPreprocSimple", "PipeOpTaskPreproc", "PipeOp", "Mlr3Component"))
 
-  expect_equal(get_r6_inheritance("LearnerClassifDebug"), c("LearnerClassifDebug", "LearnerClassif", "Learner"))
+  expect_equal(get_r6_inheritance("LearnerClassifDebug"), c("LearnerClassifDebug", "LearnerClassif", "Learner", "Mlr3Component"))
 
   expect_equal(get_class_hierarchy("data.table"), c("data.table", "data.frame"))
 
@@ -19,11 +19,11 @@ test_that("utility function works", {
 
   expect_equal(oldcache, class_hierarchy_cache)
 
-  expect_equal(get_class_hierarchy("LearnerClassifDebug"), c("LearnerClassifDebug", "LearnerClassif", "Learner"))
+  expect_equal(get_class_hierarchy("LearnerClassifDebug"), c("LearnerClassifDebug", "LearnerClassif", "Learner", "Mlr3Component"))
 
-  expect_equal(class_hierarchy_cache[["LearnerClassifDebug"]], c("LearnerClassifDebug", "LearnerClassif", "Learner"))
-  expect_equal(class_hierarchy_cache[["LearnerClassif"]], c("LearnerClassif", "Learner"))
-  expect_equal(class_hierarchy_cache[["Learner"]], "Learner")
+  expect_equal(class_hierarchy_cache[["LearnerClassifDebug"]], c("LearnerClassifDebug", "LearnerClassif", "Learner", "Mlr3Component"))
+  expect_equal(class_hierarchy_cache[["LearnerClassif"]], c("LearnerClassif", "Learner", "Mlr3Component"))
+  expect_equal(class_hierarchy_cache[["Learner"]], c("Learner", "Mlr3Component"))
 
   expect_false(isTRUE(all.equal(oldcache, class_hierarchy_cache)))
 
@@ -61,36 +61,36 @@ test_that("utility function works", {
 })
 
 test_that("Graph is type-checking", {
-  expect_error(PipeOpScale$new() %>>% PipeOpRegrAvg$new(1),
+  expect_error(po("scale") %>>% po("regravg", innum = 1),
     "Output type of PipeOp scale during prediction \\(Task\\) incompatible with input type of PipeOp regravg \\(PredictionRegr\\)")
 
-  mavtest = PipeOpRegrAvg$new(1)
+  mavtest = po("regravg", innum = 1)
   mavtest$input$train = "Task"
 
-  expect_error(PipeOpScale$new() %>>% mavtest,
+  expect_error(po("scale") %>>% mavtest,
     "Output type of PipeOp scale during prediction \\(Task\\) incompatible with input type of PipeOp regravg \\(PredictionRegr\\)")
 
 
   gr = Graph$new()$
-    add_pipeop(PipeOpScale$new())$
-    add_pipeop(PipeOpRegrAvg$new(1))
+    add_pipeop(po("scale"))$
+    add_pipeop(po("regravg", innum = 1))
 
   expect_error(gr$add_edge("scale", "regravg"),
     "Output type of PipeOp scale during prediction \\(Task\\) incompatible with input type of PipeOp regravg \\(PredictionRegr\\)")
 
   gr = Graph$new()$
-    add_pipeop(PipeOpScale$new())$
+    add_pipeop(po("scale"))$
     add_pipeop(mavtest)
 
   expect_error(gr$add_edge("scale", "regravg"),
     "Output type of PipeOp scale during prediction \\(Task\\) incompatible with input type of PipeOp regravg \\(PredictionRegr\\)")
 
-  expect_error(PipeOpRegrAvg$new(1) %>>% PipeOpScale$new(),
+  expect_error(po("regravg", innum = 1) %>>% po("scale"),
     "Output type of PipeOp regravg during training \\(NULL\\) incompatible with input type of PipeOp scale \\(Task\\)")
 
   gr = Graph$new()$
-    add_pipeop(PipeOpRegrAvg$new(1))$
-    add_pipeop(PipeOpScale$new())
+    add_pipeop(po("regravg", innum = 1))$
+    add_pipeop(po("scale"))
 
   expect_error(gr$add_edge("regravg", "scale"),
     "Output type of PipeOp regravg during training \\(NULL\\) incompatible with input type of PipeOp scale \\(Task\\)")
@@ -136,7 +136,7 @@ test_that("Autoconversion utility functions work", {
 
 test_that("Autoconversion for pipeops works", {
 
-  po = PipeOpCopy$new(1)
+  po = po("copy", outnum = 1)
 
   po$input$train = "Task"
   po$output$predict = "MeasureClassif"
diff --git a/tests/testthat/test_usecases.R b/tests/testthat/test_usecases.R
index aafb0ea65..7854dbb46 100644
--- a/tests/testthat/test_usecases.R
+++ b/tests/testthat/test_usecases.R
@@ -21,7 +21,7 @@ test_graph = function(g, n_nodes, n_edges) {
 test_that("linear: scale + pca + learn", {
   skip_if_not_installed("rpart")
   skip_if_not_installed("rpart")
-  g = PipeOpScale$new() %>>% PipeOpPCA$new() %>>% PipeOpLrnRP
+  g = po("scale") %>>% po("pca") %>>% PipeOpLrnRP
   z = test_graph(g, n_nodes = 3L, n_edges = 2L)
 
   expect_equal(z$g.trained$pipeops$scale$.result[[1]]$data(cols = colnames(iris)[1:4]),
@@ -47,8 +47,8 @@ test_that("linear: scale + pca + learn", {
 
 test_that("featureunion", {
   skip_if_not_installed("rpart")
-  g = gunion(list(PipeOpPCA$new(), PipeOpNOP$new())) %>>%
-    PipeOpFeatureUnion$new(2L) %>>% PipeOpLrnRP
+  g = gunion(list(po("pca"), po("nop"))) %>>%
+    po("featureunion", innum = 2L) %>>% PipeOpLrnRP
   z = test_graph(g, n_nodes = 4L, n_edges = 3L)
 
   expect_equal(abs(as.matrix(z$g.trained$pipeops$pca$.result[[1]]$data(cols = paste0("PC", 1:4)))),
@@ -65,7 +65,7 @@ test_that("featureunion", {
 test_that("bagging", {
   skip_if_not_installed("rpart")
   skip_if_not_installed("rpart")
-  g = pipeline_greplicate(PipeOpSubsample$new() %>>% PipeOpLrnRP, 2L) %>>% PipeOpClassifAvg$new(innum = 2L)
+  g = pipeline_greplicate(po("subsample") %>>% PipeOpLrnRP, 2L) %>>% po("classifavg", innum = 2L)
   g$pipeops$subsample_1$param_set$values$frac = .5
   g$pipeops$subsample_2$param_set$values$frac = .5
   z = test_graph(g, n_nodes = 5L, n_edges = 4L)
@@ -86,7 +86,7 @@ test_that("branching", {
   # c) we need a delayed init of the pipeop, which is triggered when the pipeop is
   # connected. this  would help a lot when we connect the PipeOp to its neighbor and
   # need some info from the nieghbor to decide some poperties of the PO
-  g = PipeOpBranch$new(2L) %>>% gunion(list(PipeOpLrnRP, PipeOpLrnFL)) %>>% PipeOpUnbranch$new(2L)
+  g = po("branch", options = 2L) %>>% gunion(list(PipeOpLrnRP, PipeOpLrnFL)) %>>% po("unbranch", options = 2L)
   z = test_graph(g, n_nodes = 4L, n_edges = 4L)
 
   expect_equal(z$g.trained$pipeops$classif.rpart$.result, list(output = NULL))
@@ -96,7 +96,7 @@ test_that("branching", {
   expect_equal(z$g.predicted$pipeops$classif.rpart$.result[[1]], z$g.predicted$pipeops$unbranch$.result[[1]])
   expect_equal(z$g.predicted$pipeops$classif.featureless$.result, list(output = NO_OP))
 
-  g = PipeOpBranch$new(2L) %>>% gunion(list(PipeOpLrnRP, PipeOpLrnFL)) %>>% PipeOpUnbranch$new(2L)
+  g = po("branch", options = 2L) %>>% gunion(list(PipeOpLrnRP, PipeOpLrnFL)) %>>% po("unbranch", options = 2L)
   task = mlr_tasks$get("iris")
   res = g$train(task)
   expect_true(g$is_trained)
@@ -109,7 +109,7 @@ test_that("branching", {
 test_that("branching with varargs", {
   skip_if_not_installed("rpart")
   skip_if_not_installed("rpart")
-  g = PipeOpBranch$new(2L) %>>% gunion(list(PipeOpLrnRP, PipeOpLrnFL)) %>>% PipeOpUnbranch$new()
+  g = po("branch", options = 2L) %>>% gunion(list(PipeOpLrnRP, PipeOpLrnFL)) %>>% po("unbranch")
   z = test_graph(g, n_nodes = 4L, n_edges = 4L)
 
   expect_equal(z$g.trained$pipeops$classif.rpart$.result, list(output = NULL))
@@ -119,7 +119,7 @@ test_that("branching with varargs", {
   expect_equal(z$g.predicted$pipeops$classif.rpart$.result[[1]], z$g.predicted$pipeops$unbranch$.result[[1]])
   expect_equal(z$g.predicted$pipeops$classif.featureless$.result, list(output = NO_OP))
 
-  g = PipeOpBranch$new(2L) %>>% gunion(list(PipeOpLrnRP, PipeOpLrnFL)) %>>% PipeOpUnbranch$new()
+  g = po("branch", options = 2L) %>>% gunion(list(PipeOpLrnRP, PipeOpLrnFL)) %>>% po("unbranch")
   task = mlr_tasks$get("iris")
   res = g$train(task)
   expect_true(g$is_trained)
@@ -133,7 +133,7 @@ test_that("branching with varargs", {
 
 test_that("task chunking", {
   skip_if_not_installed("rpart")
-  g = PipeOpChunk$new(2L) %>>% pipeline_greplicate(PipeOpLrnRP, 2L) %>>% PipeOpClassifAvg$new(2L)
+  g = po("chunk", outnum = 2L) %>>% pipeline_greplicate(PipeOpLrnRP, 2L) %>>% po("classifavg", innum = 2L)
   z = test_graph(g, n_nodes = 4L, n_edges = 4L)
 })
 
@@ -145,10 +145,10 @@ test_that("stacking", {
   lrn1 = mlr_learners$get("classif.rpart")
   lrn2 = mlr_learners$get("classif.featureless")
   pipe = gunion(list(
-    PipeOpLearnerCV$new(lrn1),
-    PipeOpLearnerCV$new(lrn2),
-    PipeOpNOP$new()))
-  pipe = pipe %>>% PipeOpFeatureUnion$new(3)
+    po("learner_cv", lrn1),
+    po("learner_cv", lrn2),
+    po("nop")))
+  pipe = pipe %>>% po("featureunion", innum = 3)
 
   result = pipe$train(task)[[1]]