[doc] Promote dask from experimental. [skip ci] (#7509)

This commit is contained in:
Jiaming Yuan
2021-12-16 14:17:06 +08:00
committed by GitHub
parent 05497a9141
commit a512b4b394
2 changed files with 16 additions and 6 deletions

View File

@@ -1,13 +1,23 @@
###########################
Python Package Introduction
###########################
This document gives a basic walkthrough of the xgboost package for Python.
This document gives a basic walkthrough of the xgboost package for Python. The Python
package is consisted of 3 different interfaces, including native interface, scikit-learn
interface and dask interface. For introduction to dask interface please see
:doc:`/tutorials/dask`.
**List of other Helpful Links**
* :doc:`/python/examples/index`
* :doc:`Python API Reference <python_api>`
**Contents**
.. contents::
:backlinks: none
:local:
Install XGBoost
---------------
To install XGBoost, follow instructions in :doc:`/install`.
@@ -22,7 +32,8 @@ To verify your installation, run the following in Python:
Data Interface
--------------
The XGBoost python module is able to load data from many types of different formats, including:
The XGBoost python module is able to load data from many different types of data format,
including:
- NumPy 2D array
- SciPy 2D sparse array