Update Python intro. [skip ci] (#7235)

* Fix the link to demo.
* Stop recommending text file inputs.
* Brief mention to scikit-learn interface.
* Fix indent warning in tree method doc.
This commit is contained in:
Jiaming Yuan
2021-09-21 10:47:09 +08:00
committed by GitHub
parent 61a619b5c3
commit 18bd16341a
3 changed files with 67 additions and 41 deletions

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@@ -64,6 +64,9 @@ XGBoost supports missing values by default.
In tree algorithms, branch directions for missing values are learned during training.
Note that the gblinear booster treats missing values as zeros.
When the ``missing`` parameter is specifed, values in the input predictor that is equal to
``missing`` will be treated as missing and removed. By default it's set to ``NaN``.
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Slightly different result between runs
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