xgboost/python-package
Jiaming Yuan 47b62480af
More general predict proba. (#6817)
* Use `output_margin` for `softmax`.
* Add test for dask binary cls.

Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
2021-04-01 19:52:12 +08:00
..
2019-06-11 08:58:41 +08:00

======================
XGBoost Python Package
======================

|PyPI version|

Installation
============

From `PyPI <https://pypi.python.org/pypi/xgboost>`_
---------------------------------------------------

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>`_.