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xgboost/demo/guide-python
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basic_walkthrough.py
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boost_from_prediction.py
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cross_validation.py
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custom_objective.py
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external_memory.py
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generalized_linear_model.py
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README.md
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sklearn_examples.py
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README.md

XGBoost Python Feature Walkthrough

  • Basic walkthrough of wrappers
  • Cutomize loss function, and evaluation metric
  • Boosting from existing prediction
  • Predicting using first n trees
  • Generalized Linear Model
  • Cross validation
  • Predicting leaf indices
  • Sklearn Wrapper
  • External Memory
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