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xgboost/demo/guide-python
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tqchen 5f08313cb2 make wrapper ok
2014-11-23 14:03:59 -08:00
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basic_walkthrough.py
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2014-09-04 20:57:49 -07:00
boost_from_prediction.py
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cross_validation.py
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custom_objective.py
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generalized_linear_model.py
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predict_first_ntree.py
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predict_leaf_indices.py
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README.md
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runall.sh
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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
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