12 lines
553 B
Markdown
12 lines
553 B
Markdown
XGBoost Python Feature Walkthrough
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==================================
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* [Basic walkthrough of wrappers](basic_walkthrough.py)
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* [Cutomize loss function, and evaluation metric](custom_objective.py)
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* [Boosting from existing prediction](boost_from_prediction.py)
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* [Predicting using first n trees](predict_first_ntree.py)
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* [Generalized Linear Model](generalized_linear_model.py)
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* [Cross validation](cross_validation.py)
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* [Predicting leaf indices](predict_leaf_indices.py)
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* [Sklearn Wrapper](sklearn_example.py)
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* [External Memory](external_memory.py)
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