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Release 0.4.1 (#576)
* . * . * AutoSklearnClassifier/Regressor's fit, refit, fit_ensemble now return self. * Initial commit. Work in Progress. * Fix minor printing error in sprint_statistics. * Revert "Fix#460" * Raise error if ensemble is not built (#480) * . * . * AutoSklearnClassifier/Regressor's fit, refit, fit_ensemble now return self. * Initial commit. Work in Progress. * Fix minor printing error in sprint_statistics. * Revert "Fix#460" * Resolve rebase conflict * combined unittests to reduce travis runtime * . * . * . * . * . * ADD Auto-sklearn 0.4.1 release note to releases.rst
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doc/releases.rst

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Releases
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========
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Version 0.4.1
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=============
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* Added documentation on `how to extend Auto-sklearn <https://github.com/automl/auto-sklearn/pull/510>`_
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with custom classifier, regressor, and preprocessor.
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* Auto-sklearn now requires numpy version between 1.9.0 and 1.14.5, due to higher versions
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causing travis failure.
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* Examples now use ``sklearn.datasets.load_breast_cancer()`` instead of ``sklearn.datasets.load_digits()``
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to reduce memory usage for travis build.
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* Fixes future warnings on non-tuple sequence for indexing.
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* Fixes `#500 <https://github.com/automl/auto-sklearn/issues/500>`_: fixes
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ensemble builder to correctly evaluate model score with any metrics.
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See this `PR <https://github.com/automl/auto-sklearn/pull/522>`_.
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* Fixes `#482 <https://github.com/automl/auto-sklearn/issues/482>`_ and
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`#491 <https://github.com/automl/auto-sklearn/issues/491>`_: Users can now set up
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custom logger configuration by passing a dictionary created by a yaml file to
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``logging_config``.
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* Fixes `#566 <https://github.com/automl/auto-sklearn/issues/566>`_: ensembles are now sorted correctly.
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* Fixes `#293 <https://github.com/automl/auto-sklearn/issues/293>`_: Auto-sklearn checks if appropriate
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target type was given for classification and regression before call to ``fit()``.
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* Travis-ci now runs flake8 to enforce pep8 style guide, and uses travis-ci instead of circle-ci
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for deployment.
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Contributors
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************
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* Matthias Feurer
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* Manuel Streuhofer
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* Taneli Mielikäinen
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* Katharina Eggensperger
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* Jin Woo Ahn
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Version 0.4.0
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=============
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