xgboost

History

[dask] Use distributed.MultiLock (#6743 )

* [dask] Use `distributed.MultiLock`

This enables training multiple models in parallel.

* Conditionally import `MultiLock`.
* Use async train directly in scikit learn interface.
* Use `worker_client` when available.

2021-03-16 14:19:41 +08:00

xgboost

[dask] Use distributed.MultiLock (#6743 )

2021-03-16 14:19:41 +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

[CI] Split up main.yml, add mypy. (#6515 )

2020-12-17 00:15:44 +08:00

setup.py

Bail out early if libxgboost exists in python setup (#6694 )

2021-02-10 10:50:10 +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>`_.