xgboost

History

Use Predictor for dart. (#6693 )

* Use normal predictor for dart booster.
* Implement `inplace_predict` for dart.
* Enable `dart` for dask interface now that it's thread-safe.
* categorical data should be working out of box for dart now.

The implementation is not very efficient as it has to pull back the data and
apply weight for each tree, but still a significant improvement over previous
implementation as now we no longer binary search for each sample.

* Fix output prediction shape on dataframe.

2021-02-09 23:30:19 +08:00

xgboost

Use Predictor for dart. (#6693 )

2021-02-09 23:30:19 +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

Skip unused CMake argument in setup.py (#6611 )

2021-01-21 17:25:33 +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>`_.