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        "description": ".. -*- mode: rst -*-\n\n|Travis|_ |AppVeyor|_ |Coverage|_ |PyPI|_\n\n.. |Travis| image:: https://travis-ci.org/phausamann/sklearn-xarray.svg?branch=master\n.. _Travis: https://travis-ci.org/phausamann/sklearn-xarray\n\n.. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/qe6ytlg0ja2mqcxr/branch/master?svg=true\n.. _AppVeyor: https://ci.appveyor.com/project/phausamann/sklearn-xarray/branch/master\n\n.. |Coverage| image:: https://coveralls.io/repos/github/phausamann/sklearn-xarray/badge.svg?branch=master\n.. _Coverage: https://coveralls.io/github/phausamann/sklearn-xarray?branch=master\n\n.. |PyPI| image:: https://badge.fury.io/py/sklearn-xarray.svg\n.. _PyPI: https://badge.fury.io/py/sklearn-xarray\n\nsklearn-xarray\n==============\n\n**sklearn-xarray** is an open-source python package that combines the\nn-dimensional labeled arrays of xarray_ with the machine learning and model\nselection tools of scikit-learn_. The package contains wrappers that allow\nthe user to apply scikit-learn estimators to xarray types without losing their\nlabels.\n\n.. _scikit-learn: http://scikit-learn.org/stable/\n.. _xarray: http://xarray.pydata.org\n\n\nDocumentation\n-------------\n\nThe package documentation can be found at\nhttps://phausamann.github.io/sklearn-xarray/\n\n\nHighlights\n-------------\n\n- Makes sklearn estimators compatible with xarray DataArrays and Datasets.\n- Allows for estimators to change the number of samples.\n- Adds a large number of pre-processing transformers.\n\n\nInstallation\n-------------\n\nRequired dependencies:\n\n- Python 2.7, 3.4, 3.5, or 3.6\n- scikit-learn (0.19 or later, depends on numpy & scipy)\n- xarray (0.10 or later)\n- pandas (0.20 or later)\n\nThe package can be installed from ``pip``::\n\n    $ pip install sklearn-xarray\n\nFor the latest version, you can also install from source::\n\n    $ pip install https://github.com/phausamann/sklearn-xarray/archive/master.zip\n\n\nExample\n-------\n\nThe `activity recognition example`_ demonstrates how to use the\npackage for cross-validated grid search for an activity recognition task. The\nexample is also present as a jupyter notebook.\n\n.. _activity recognition example: https://phausamann.github.io/sklearn-xarray/auto_examples/plot_activity_recognition.html\n\n\nContributing\n------------\n\nPlease read the `contribution guide <https://github.com/phausamann/sklearn-xarray/blob/master/.github/CONTRIBUTING.rst>`_\nif you want to contribute to this project.",
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