From 614a4f995f3f9984ed3bd7747f0d3d0187a34ab0 Mon Sep 17 00:00:00 2001 From: Nicholas Corneau Date: Tue, 29 Dec 2015 18:22:49 -0500 Subject: [PATCH 1/3] trees --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index c5df408..def82e2 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ Infer is broad and covers, or intends to cover, most of what you'll find in stat - *matrices*: wraps the [UJMP](http://www.ujmp.org/) matrix package, which provides an expressive and expansive set of efficient matrix operations. (examples) -- *probabilities*: a language for dealing with probabilities. composable into constructs like graphical models, tress, classifiers, etc. +- *probabilities*: a language for dealing with probabilities. composable into constructs like graphical models, trees, classifiers, etc. - *measures*: a vast library of measure functions, statistics, and the like. Everything you want for measuring things in your learners. We also have man information-theoretic measures in *information-theory*. @@ -44,4 +44,4 @@ Infer is broad and covers, or intends to cover, most of what you'll find in stat - *features*: easy to deal with feature representations as a matrix, a Clojure vector of vectors, or nested maps, and transforming between the options. easy dealing with continuous or discrete, or discretizing continuous variables (currently in *classification*). merging equivalence classes. -- Copyright (c) Bradford Cross and Hamilton Ulmer released under the MIT License (http://www.opensource.org/licenses/mit-license.php). \ No newline at end of file +- Copyright (c) Bradford Cross and Hamilton Ulmer released under the MIT License (http://www.opensource.org/licenses/mit-license.php). From 38df26fef12c4d69d1a64ec69bd61533b6ee3c52 Mon Sep 17 00:00:00 2001 From: Nicholas Corneau Date: Tue, 29 Dec 2015 18:23:51 -0500 Subject: [PATCH 2/3] spelling --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index def82e2..e56842b 100644 --- a/README.md +++ b/README.md @@ -28,9 +28,9 @@ Infer is broad and covers, or intends to cover, most of what you'll find in stat - *matrices*: wraps the [UJMP](http://www.ujmp.org/) matrix package, which provides an expressive and expansive set of efficient matrix operations. (examples) -- *probabilities*: a language for dealing with probabilities. composable into constructs like graphical models, trees, classifiers, etc. +- *probabilities*: a language for dealing with probabilities. composable into constructs like graphical models, tress, classifiers, etc. -- *measures*: a vast library of measure functions, statistics, and the like. Everything you want for measuring things in your learners. We also have man information-theoretic measures in *information-theory*. +- *measures*: a vast library of measure functions, statistics, and the like. Everything you want for measuring things in your learners. We also have many information-theoretic measures in *information-theory*. - *linear models*: ols, gls, glms, and penalized / regularized regression methods - L1, L2, and combinations thereof. (examples) From 4a3a18ec5f4e2043428072b678ebf1378b67d3e3 Mon Sep 17 00:00:00 2001 From: Nicholas Corneau Date: Tue, 29 Dec 2015 18:24:21 -0500 Subject: [PATCH 3/3] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e56842b..fefcfc9 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ Infer is broad and covers, or intends to cover, most of what you'll find in stat - *matrices*: wraps the [UJMP](http://www.ujmp.org/) matrix package, which provides an expressive and expansive set of efficient matrix operations. (examples) -- *probabilities*: a language for dealing with probabilities. composable into constructs like graphical models, tress, classifiers, etc. +- *probabilities*: a language for dealing with probabilities. composable into constructs like graphical models, trees, classifiers, etc. - *measures*: a vast library of measure functions, statistics, and the like. Everything you want for measuring things in your learners. We also have many information-theoretic measures in *information-theory*.