[doc] Promote dask from experimental. [skip ci] (#7509)
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###########################
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Python Package Introduction
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###########################
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This document gives a basic walkthrough of the xgboost package for Python.
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This document gives a basic walkthrough of the xgboost package for Python. The Python
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package is consisted of 3 different interfaces, including native interface, scikit-learn
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interface and dask interface. For introduction to dask interface please see
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:doc:`/tutorials/dask`.
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**List of other Helpful Links**
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* :doc:`/python/examples/index`
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* :doc:`Python API Reference <python_api>`
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**Contents**
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.. contents::
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:backlinks: none
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:local:
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Install XGBoost
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---------------
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To install XGBoost, follow instructions in :doc:`/install`.
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@@ -22,7 +32,8 @@ To verify your installation, run the following in Python:
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Data Interface
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--------------
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The XGBoost python module is able to load data from many types of different formats, including:
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The XGBoost python module is able to load data from many different types of data format,
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including:
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- NumPy 2D array
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- SciPy 2D sparse array
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