* Support sklearn cross validation for ranker. - Add a convention for X to include a special `qid` column. sklearn utilities consider only `X`, `y` and `sample_weight` for supervised learning algorithms, but we need an additional qid array for ranking. It's important to be able to support the cross validation function in sklearn since all other tuning functions like grid search are based on cross validation.
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XGBoost Python Package
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|PyPI version|
Installation
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From `PyPI <https://pypi.python.org/pypi/xgboost>`_
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For a stable version, install using ``pip``::
pip install xgboost
.. |PyPI version| image:: https://badge.fury.io/py/xgboost.svg
:target: http://badge.fury.io/py/xgboost
For building from source, see `build <https://xgboost.readthedocs.io/en/latest/build.html>`_.