xgboost

History

[MT-TREE] Support prediction cache and model slicing. (#8968 )

- Fix prediction range.
- Support prediction cache in mt-hist.
- Support model slicing.
- Make the booster a Python iterable by defining `__iter__`.
- Cleanup removed/deprecated parameters.
- A new field in the output model `iteration_indptr` for pointing to the ranges of trees for each iteration.

2023-03-27 23:10:54 +08:00

xgboost

[MT-TREE] Support prediction cache and model slicing. (#8968 )

2023-03-27 23:10:54 +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

Fix release script. (#8187 ) (#8195 )

2022-08-23 15:08:30 +08:00

README.rst

Fix Python demo and doc. (#4545 )

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

setup.cfg

Remove use of distutils. (#7770 )

2022-03-31 19:03:10 +08:00

setup.py

Require black formatter for the python package. (#8748 )

2023-02-07 01:53:33 +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>`_.