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Doc and demo for customized metric and obj. (#4598)

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Co-Authored-By: Theodore Vasiloudis <theodoros.vasiloudis@gmail.com>
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Jiaming Yuan
2019-06-26 16:13:12 +08:00
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demo/guide-python/README.md
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@@ -2,6 +2,7 @@ XGBoost Python Feature Walkthrough
==================================
* [Basic walkthrough of wrappers](basic_walkthrough.py)
* [Customize loss function, and evaluation metric](custom_objective.py)
* [Re-implement RMSLE as customized metric and objective](custom_rmsle.py)
* [Boosting from existing prediction](boost_from_prediction.py)
* [Predicting using first n trees](predict_first_ntree.py)
* [Generalized Linear Model](generalized_linear_model.py)