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xgboost/demo/guide-python
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Skipper Seabold 4a37b852a0 DOC: Add early stopping example
2015-07-08 13:55:47 -05:00
..
basic_walkthrough.py
checkin copy
2015-05-17 21:29:51 -07:00
boost_from_prediction.py
Update demo scripts to use installed python library
2015-04-08 14:22:54 -05:00
cross_validation.py
Update demo scripts to use installed python library
2015-04-08 14:22:54 -05:00
custom_objective.py
Update demo scripts to use installed python library
2015-04-08 14:22:54 -05:00
external_memory.py
add more docs
2015-04-19 00:55:11 -07:00
generalized_linear_model.py
Update demo scripts to use installed python library
2015-04-08 14:22:54 -05:00
predict_first_ntree.py
Update demo scripts to use installed python library
2015-04-08 14:22:54 -05:00
predict_leaf_indices.py
Update demo scripts to use installed python library
2015-04-08 14:22:54 -05:00
README.md
add more docs
2015-04-19 00:55:11 -07:00
runall.sh
make wrapper ok
2014-11-23 14:03:59 -08:00
sklearn_examples.py
DOC: Add early stopping example
2015-07-08 13:55:47 -05:00
sklearn_parallel.py
EX: Make separate example for fork issue.
2015-05-11 09:30:51 -05:00

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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