add glm
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@@ -4,4 +4,5 @@ XGBoost Python Feature Walkthrough
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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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