Clarify docs around using the MLflow CLI with a tracking server (mlfl…

…ow#474)

mlflow/azureml/cli.py

@@ -15,7 +15,12 @@
 
 @click.group("azureml")
 def commands():
-    """Serve models on Azure ML."""
+    """
+    Serve models on Azure ML.
+
+    To serve a model associated with a run on a tracking server, set the MLFLOW_TRACKING_URI
+    environment variable to the URL of the desired server.
+    """
     pass
 
 

mlflow/experiments.py

@@ -12,7 +12,10 @@
 
 @click.group("experiments")
 def commands():
-    """Manage experiments."""
+    """
+    Manage experiments. To manage experiments associated with a tracking server, set the
+    MLFLOW_TRACKING_URI environment variable to the URL of the desired server.
+    """
     pass
 
 

mlflow/pyfunc/cli.py

@@ -33,7 +33,12 @@ def _rerun_in_conda(conda_env_path):
 
 @click.group("pyfunc")
 def commands():
-    """Serve Python models locally."""
+    """
+    Serve Python models locally.
+
+    To serve a model associated with a run on a tracking server, set the MLFLOW_TRACKING_URI
+    environment variable to the URL of the desired server.
+    """
     pass
 
 

mlflow/rfunc/cli.py

@@ -11,7 +11,12 @@
 
 @click.group("rfunc")
 def commands():
-    """Serve R models locally."""
+    """
+    Serve R models locally.
+
+    To serve a model associated with a run on a tracking server, set the MLFLOW_TRACKING_URI
+    environment variable to the URL of the desired server.
+    """
     pass
 
 

mlflow/sagemaker/cli.py

@@ -13,7 +13,12 @@
 
 @click.group("sagemaker")
 def commands():
-    """Serve models on SageMaker."""
+    """
+    Serve models on SageMaker.
+
+    To serve a model associated with a run on a tracking server, set the MLFLOW_TRACKING_URI
+    environment variable to the URL of the desired server.
+    """
     pass
 
 

mlflow/sklearn.py

@@ -110,7 +110,12 @@ def load_model(path, run_id=None):
 
 @click.group("sklearn")
 def commands():
-    """Serve scikit-learn models."""
+    """
+    Serve scikit-learn models locally.
+
+    To serve a model associated with a run on a tracking server, set the MLFLOW_TRACKING_URI
+    environment variable to the URL of the desired server.
+    """
     pass
 
 

mlflow/store/cli.py

@@ -9,7 +9,12 @@
 
 @click.group("artifacts")
 def commands():
-    """Upload, list, and download artifacts from an MLflow artifact repository."""
+    """
+    Upload, list, and download artifacts from an MLflow artifact repository.
+
+    To manage artifacts for a run associated with a tracking server, set the MLFLOW_TRACKING_URI
+    environment variable to the URL of the desired server.
+    """
     pass