Update changelog to prepare new release

Author: mfeurer

doc/releases.rst

@@ -11,6 +11,59 @@
 Releases
 ========
 
+Version 0.4.0
+=============
+
+* Fixes `#409 <https://github.com/automl/auto-sklearn/issues/409>`_: fixes
+  ``predict_proba`` to no longer raise an `AttributeError`.
+* Improved documentation of the parallel example.
+* Classifiers are now tested to be idempotent as `required by scikit-learn
+<http://scikit-learn.org/stable/developers/contributing.html#estimated-attributes>`_.
+* Fixes the usage of the shrinkage parameter in LDA.
+* Fixes `#410 <https://github.com/automl/auto-sklearn/issues/410>`_ and changes
+  the SGD hyperparameters
+* Fixes `#425 <https://github.com/automl/auto-sklearn/issues/425>`_ which
+  caused the non-linear support vector machine to always crash on OSX.
+* Implements `#149 <https://github.com/automl/auto-sklearn/issues/149>`_: it
+  is now possible to pass a custom cross-validation split following
+  scikit-learn's ``model_selection`` module.
+* It is now possible to decide whether or not to shuffle the data in
+  Auto-sklearn by passing a bool `shuffle` in the dictionary of
+  ``resampling_strategy_arguments``.
+* Added functionality to track the test performance over time.
+* Re-factored the ensemble building to be faster, read less data from the
+  hard drive and perform random tie breaking in case of equally
+  well-performing models.
+* Implements `#438 <https://github.com/automl/auto-sklearn/issues/438>`_: To
+  be consistent with the output of SMAC (which minimizes the loss of a target
+  function), the output of the ensemble builder is now also the output of a
+  minimization problem.
+* Implements `#271 <https://github.com/automl/auto-sklearn/issues/271>`_:
+  XGBoost is available again, even configuring the new dropout functionality.
+* New documentation section `inspecting the results <http://automl.github.io/auto-sklearn/stable/manual.html#inspecting-the-results>`_.
+* Fixes `#444 <https://github.com/automl/auto-sklearn/issues/444>`_:
+  Auto-sklearn now only loads models for refit which are actually relevant
+  for the ensemble.
+* Adds an operating system check at import and installation time to make sure
+  to not accidentaly run on a Windows machine.
+* New examples gallery using sphinx gallery: `http://automl.github.io/auto-sklearn/stable/examples/index.html <http://automl.github.io/auto-sklearn/stable/examples/index.html>`_
+
+
+
+Contributors
+~~~~~~~~~~~~
+
+* Matthias Feurer
+* kaa
+* Josh Mabry
+* Katharina Eggensperger
+* Vladimir Glazachev
+* Jesper van Engelen
+* Jin Woo Ahn
+* Enrico Testa
+* Marius Lindauer
+* Yassine Morakakam
+
 Version 0.3.0
 =============