xgboost

History

Support optimal partitioning for GPU hist. (#7652 )

* Implement `MaxCategory` in quantile.
* Implement partition-based split for GPU evaluation.  Currently, it's based on the existing evaluation function.
* Extract an evaluator from GPU Hist to store the needed states.
* Added some CUDA stream/event utilities.
* Update document with references.
* Fixed a bug in approx evaluator where the number of data points is less than the number of categories.

2022-02-15 03:03:12 +08:00

xgboost

Support optimal partitioning for GPU hist. (#7652 )

2022-02-15 03:03:12 +08:00

.gitignore

python package refactor into python-package

2015-07-30 22:04:45 -07:00

.pylintrc

Improved sklearn compatibility (#5255 )

2020-02-03 13:30:45 +08:00

MANIFEST.in

[python-package] remove unnecessary files to reduce sdist size (fixes #6560 ) (#6565 )

2021-01-02 15:56:39 +08:00

README.rst

Fix Python demo and doc. (#4545 )

2019-06-11 08:58:41 +08:00

setup.cfg

Typehint for Sklearn. (#6799 )

2021-04-14 06:55:21 +08:00

setup.py

[dask] Cleanup dask module. (#7634 )

2022-02-08 20:41:46 +08:00

README.rst

======================
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>`_.