9975c533c7
* Reorganize contributor's doc * Address comments from @trivialfis * Address @sriramch's comment: include ABI compatibility guarantee * Address @rongou's comment * Postpone ABI compatibility guarantee for now
31 lines
949 B
ReStructuredText
31 lines
949 B
ReStructuredText
#####################
|
|
XGBoost Documentation
|
|
#####################
|
|
|
|
**XGBoost** is an optimized distributed gradient boosting library designed to be highly **efficient**, **flexible** and **portable**.
|
|
It implements machine learning algorithms under the `Gradient Boosting <https://en.wikipedia.org/wiki/Gradient_boosting>`_ framework.
|
|
XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.
|
|
The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.
|
|
|
|
********
|
|
Contents
|
|
********
|
|
|
|
.. toctree::
|
|
:maxdepth: 2
|
|
:titlesonly:
|
|
|
|
build
|
|
get_started
|
|
tutorials/index
|
|
faq
|
|
XGBoost User Forum <https://discuss.xgboost.ai>
|
|
GPU support <gpu/index>
|
|
parameter
|
|
Python package <python/index>
|
|
R package <R-package/index>
|
|
JVM package <jvm/index>
|
|
Julia package <julia>
|
|
CLI interface <cli>
|
|
contrib/index
|