fix .get_model docs (#262)

Author: drakejwong

nucleus/__init__.py

@@ -300,12 +300,11 @@ def get_model(
         """Fetches a model by its ID.
 
         Parameters:
-            model_id: You can pass either a model ID (starts with ``prj_``) or a model run id (starts with ``run_``) This can
-              be retrieved via :meth:`list_models` or a Nucleus dashboard URL. Model run ids result from the application of a model to a dataset.
-            model_run_id: You can pass either a model ID (starts with ``prj_``), or a model run id (starts with ``run_``) This can
-              be retrieved via :meth:`list_models` or a Nucleus dashboard URL. Model run ids result from the application of a model to a dataset.
+            model_id: You can pass either a model ID (starts with ``prj_``) or a model run ID (starts with ``run_``) This can be retrieved via :meth:`list_models` or a Nucleus dashboard URL. Model run IDs result from the application of a model to a dataset.
+            model_run_id: You can pass either a model ID (starts with ``prj_``), or a model run ID (starts with ``run_``) This can
+              be retrieved via :meth:`list_models` or a Nucleus dashboard URL. Model run IDs result from the application of a model to a dataset.
 
-            In the future, we plan to hide model_run_ids fully from users.
+              In the future, we plan to hide ``model_run_ids`` fully from users.
 
         Returns:
             :class:`Model`: The Nucleus model as an object.

nucleus/dataset.py

@@ -1217,10 +1217,7 @@ def calculate_evaluation_metrics(self, model, options: dict = None):
             client = nucleus.NucleusClient("YOUR_SCALE_API_KEY")
             dataset = client.get_dataset(dataset_id="YOUR_DATASET_ID")
 
-            model = client.get_model(
-                model_id="YOUR_MODEL_PRJ_ID",
-                dataset_id="YOUR_DATASET_ID"
-            )
+            model = client.get_model(model_id="YOUR_MODEL_PRJ_ID")
 
             # Compute all evaluation metrics including IOU-based matching:
             dataset.calculate_evaluation_metrics(model)