Rename references to databricks/mlflow to mlflow/mlflow (mlflow#214)

README.rst

@@ -50,7 +50,7 @@ or a Git URI::
 
     mlflow run example/tutorial -P alpha=0.4
 
-    mlflow run git@github.com:databricks/mlflow-example.git -P alpha=0.4
+    mlflow run git@github.com:mlflow/mlflow-example.git -P alpha=0.4
 
 See ``example/tutorial`` for a sample project with an MLproject file.
 

docs/source/projects.rst

@@ -179,12 +179,12 @@ Deployment Mode
     command (for example, submit a script that does ``mlflow run`` to a standard job queueing system).
 
 For example, in the tutorial we create and publish a MLproject which trains a linear model. The
-project is also published on GitHub at https://github.com/databricks/mlflow-example. To execute
+project is also published on GitHub at https://github.com/mlflow/mlflow-example. To execute
 this project run
 
 .. code::
 
-    mlflow run git@github.com:databricks/mlflow-example.git -P alpha=0.5
+    mlflow run git@github.com:mlflow/mlflow-example.git -P alpha=0.5
 
 There are also additional options for disabling the creation of a Conda environment, which can be
 useful if you quickly want to test a project in your existing shell environment.

docs/source/quickstart.rst

@@ -80,7 +80,7 @@ either a local directory or a GitHub URI:
 
     mlflow run example/tutorial -P alpha=0.5
 
-    mlflow run git@github.com:databricks/mlflow-example.git -P alpha=5
+    mlflow run git@github.com:mlflow/mlflow-example.git -P alpha=5
 
 There's a sample project in ``example/tutorial``, including a ``MLproject`` file that
 specifies its dependencies. All projects that run also log their Tracking API data in the local

docs/source/tutorial.rst

@@ -25,7 +25,7 @@ This tutorial uses MLflow, `conda <https://conda.io/docs/user-guide/install/inde
 
 .. code::
 
-    git clone https://github.com/databricks/mlflow
+    git clone https://github.com/mlflow/mlflow
 
 Training the Model
 ------------------
@@ -164,8 +164,8 @@ To run this project, invoke ``mlflow run example/tutorial -P alpha=0.42``. After
 this command, MLflow will run your training code in a new Conda environment with the dependencies
 specified in ``conda.yaml``.
 
-If the repository has an ``MLproject`` file in the root you can also run a project directly from GitHub. This tutorial is duplicated in the https://github.com/databricks/mlflow-example repository
-which you can run with ``mlflow run git@github.com:databricks/mlflow-example.git -P alpha=0.42``.
+If the repository has an ``MLproject`` file in the root you can also run a project directly from GitHub. This tutorial is duplicated in the https://github.com/mlflow/mlflow-example repository
+which you can run with ``mlflow run git@github.com:mlflow/mlflow-example.git -P alpha=0.42``.
 
 Serving the Model
 -----------------

docs/theme/mlflow/side_nav.html

@@ -40,7 +40,7 @@
     {% include "build_info.html" %}
 
     <p>
-      <a id='feedbacklink' href="https://github.com/databricks/mlflow/blob/master/CONTRIBUTING.rst" target="_blank">Contribute</a>
+      <a id='feedbacklink' href="https://github.com/mlflow/mlflow/blob/master/CONTRIBUTING.rst" target="_blank">Contribute</a>
     </p>
   </div>
 </div>

mlflow/projects/__init__.py

@@ -91,7 +91,7 @@ def run(uri, entry_point="main", version=None, parameters=None, experiment_id=No
       `mlflow.projects.ExecutionException` if a run launched in blocking mode is unsuccessful.
 
     :param uri: URI of project to run. Expected to be either a relative/absolute local filesystem
-                path or a git repository URI (e.g. https://github.com/databricks/mlflow-example)
+                path or a git repository URI (e.g. https://github.com/mlflow/mlflow-example)
                 pointing to a project directory containing an MLproject file.
     :param entry_point: Entry point to run within the project. If no entry point with the specified
                         name is found, attempts to run the project file `entry_point` as a script,

mlflow/server/js/src/components/App.js

@@ -30,7 +30,7 @@ class App extends Component {
               </Link>
             </div>
             <div className="header-links">
-              <a href={'https://github.com/databricks/mlflow'}>
+              <a href={'https://github.com/mlflow/mlflow'}>
                 <div className="github">
                   <span>GitHub</span>
                 </div>

tests/projects/utils.py

@@ -10,7 +10,7 @@
 
 TEST_DIR = "tests"
 TEST_PROJECT_DIR = os.path.join(TEST_DIR, "resources", "example_project")
-GIT_PROJECT_URI = "https://github.com/databricks/mlflow-example"
+GIT_PROJECT_URI = "https://github.com/mlflow/mlflow-example"
 
 
 def load_project():