feedback

Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com>

docs/source/tracking/tracking-api.rst

@@ -60,12 +60,20 @@ local path to log data to a directory. The URI defaults to ``mlruns``.
 
 :py:func:`mlflow.get_tracking_uri` returns the current tracking URI.
 
-:py:func:`mlflow.create_experiment` creates a new experiment and returns its ID. Runs can be
-launched under the experiment by passing the experiment ID to ``mlflow.start_run``.
+:py:func:`mlflow.create_experiment` creates a new experiment and returns the experiment ID. Runs can be
+launched under the experiment by passing the experiment ID to ``mlflow.start_run`` or 
+by setting the active experiment with :py:func:`mlflow.set_experiment`, passing in the experiment ID of the created 
+experiment.
+
+:py:func:`mlflow.set_experiment` sets an experiment as active and returns the active experiment instance. If you do not 
+specify an experiment in :py:func:`mlflow.start_run`, new runs are launched under this experiment.
+
+.. note:: 
+    If the experiment being set by name does not exist, a new experiment will be 
+    created with the given name. After the experiment has been created, it will be set 
+    as the active experiment. On certain platforms, such as Databricks, the experiment name 
+    must be an absolute path, e.g. ``"/Users/<username>/my-experiment"``.
 
-:py:func:`mlflow.set_experiment` sets an experiment as active. If the experiment does not exist,
-creates a new experiment. If you do not specify an experiment in :py:func:`mlflow.start_run`, new
-runs are launched under this experiment.
 
 :py:func:`mlflow.start_run` returns the currently active run (if one exists), or starts a new run
 and returns a :py:class:`mlflow.ActiveRun` object usable as a context manager for the

mlflow/tracking/fluent.py

@@ -91,14 +91,13 @@ def set_experiment(
     name via `experiment_name` or by ID via `experiment_id`. The experiment name and ID cannot
     both be specified.
 
-    .. note:: If the experiment being set by name does not exist, a new experiment will be 
-        created with the given name. After the experiment has been created, it will be set 
-        as the active experiment.
-
-    :param experiment_name: Case sensitive name of the experiment to be activated. If an experiment
-                            with this name does not exist, a new experiment wth this name is
-                            created. On certain platforms such as Databricks, the experiment name
-                            must an absolute path, e.g. ``"/Users/<username>/my-experiment"``.
+    .. note::
+        If the experiment being set by name does not exist, a new experiment will be
+        created with the given name. After the experiment has been created, it will be set
+        as the active experiment. On certain platforms, such as Databricks, the experiment name
+        must be an absolute path, e.g. ``"/Users/<username>/my-experiment"``.
+
+    :param experiment_name: Case sensitive name of the experiment to be activated.
     :param experiment_id: ID of the experiment to be activated. If an experiment with this ID
                           does not exist, an exception is thrown.
     :return: An instance of :py:class:`mlflow.entities.Experiment` representing the new active