xgboost

History

The old (before fix) best_ntree_limit ignores the num_class parameters, which is incorrect. In before we workarounded it in c++ layer to avoid possible breaking changes on other language bindings. But the Python interpretation stayed incorrect. The PR fixed that in Python to consider num_class, but didn't remove the old workaround, so tree calculation in predictor is incorrect, see PredictBatch in CPUPredictor.

2021-01-19 23:51:16 +08:00

xgboost

Revert ntree limit fix (#6616 )

2021-01-19 23:51:16 +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

Support shared library in system path. (#6362 )

2020-11-10 16:04:25 +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>`_.