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XGBoost Python Feature Walkthrough
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====
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* [Basic walkthrough of wrappers](guide-python/basic.py)
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* [Cutomize loss function, and evaluation metric](guide-python/custom_objective.py)
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* [Boosting from existing prediction](guide-python/boost_from_prediction.py)
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* [Predicting using first n trees](guide-python/predict_first_ntree.py)
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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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@@ -2,5 +2,4 @@
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python basic_walkthrough.py
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python custom_objective.py
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python boost_from_prediction.py
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python boost_from_prediction.py
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rm *~ *.model *.buffer
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