Merge pull request #1055 from openml/develop

Create release 0.12.1

Author: Matthias Feurer

doc/conf.py

@@ -49,7 +49,7 @@
 autosummary_generate = True
 numpydoc_show_class_members = False
 
-autodoc_default_flags = ["members", "inherited-members"]
+autodoc_default_options = {"members": True, "inherited-members": True}
 
 # Add any paths that contain templates here, relative to this directory.
 templates_path = ["_templates"]

doc/index.rst

@@ -38,7 +38,7 @@ Example
     # Publish the experiment on OpenML (optional, requires an API key.
     # You can get your own API key by signing up to OpenML.org)
     run.publish()
-    print(f'View the run online: {openml.config.server}/run/{run.run_id}')
+    print(f'View the run online: {run.openml_url}')
 
 You can find more examples in our `examples gallery <examples/index.html>`_.
 

doc/progress.rst

@@ -6,7 +6,20 @@
 Changelog
 =========
 
-0.11.1
+0.12.1
+~~~~~~
+
+* ADD #895/#1038: Measure runtimes of scikit-learn runs also for models which are parallelized
+  via the joblib.
+* DOC #1050: Refer to the webpage instead of the XML file in the main example.
+* DOC #1051: Document existing extensions to OpenML-Python besides the shipped scikit-learn
+  extension.
+* FIX #1035: Render class attributes and methods again.
+* FIX #1042: Fixes a rare concurrency issue with OpenML-Python and joblib which caused the joblib
+  worker pool to fail.
+* FIX #1053: Fixes a bug which could prevent importing the package in a docker container.
+
+0.12.0
 ~~~~~~
 * ADD #964: Validate ``ignore_attribute``, ``default_target_attribute``, ``row_id_attribute`` are set to attributes that exist on the dataset when calling ``create_dataset``.
 * ADD #979: Dataset features and qualities are now also cached in pickle format.

doc/usage.rst

@@ -145,10 +145,22 @@ obtained on. Learn how to share your datasets in the following tutorial:
 
 * `Upload a dataset <examples/30_extended/create_upload_tutorial.html>`_
 
-~~~~~~~~~~~~~~~~~~~~~~~
+***********************
 Extending OpenML-Python
-~~~~~~~~~~~~~~~~~~~~~~~
+***********************
 
 OpenML-Python provides an extension interface to connect other machine learning libraries than
 scikit-learn to OpenML. Please check the :ref:`api_extensions` and use the
 scikit-learn extension in :class:`openml.extensions.sklearn.SklearnExtension` as a starting point.
+
+Runtime measurement is incorporated in the OpenML sklearn-extension. Example usage and potential
+usage for Hyperparameter Optimisation can be found in the example tutorial:
+`HPO using OpenML <examples/30_extended/fetch_runtimes.html>`_
+
+
+Here is a list of currently maintained OpenML extensions:
+
+* `openml-keras <https://github.com/openml/openml-keras>`_
+* `openml-pytorch <https://github.com/openml/openml-pytorch>`_
+* `openml-tensorflow(for tensorflow 2+) <https://github.com/openml/openml-tensorflow>`_
+