I know there is a scikit.py wrapper interface in the xgboost python directory. My question is, how do I use it? All I see are forums where people say to use it, but I don't see any saying how to.
Thanks a ton for your help!
The official sk-learn example is here https://github.com/dmlc/xgboost/blob/master/demo/guide-python/sklearn_examples.py and fortunately in a recently closed kaggle competition, I made a public script with customized score function which may demonstrate some advanced usage of xgboost grid search function https://www.kaggle.com/phunter/flavours-of-physics/gridsearchcv-with-feature-in-xgboost Hope they can help.
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The official sk-learn example is here https://github.com/dmlc/xgboost/blob/master/demo/guide-python/sklearn_examples.py and fortunately in a recently closed kaggle competition, I made a public script with customized score function which may demonstrate some advanced usage of xgboost grid search function https://www.kaggle.com/phunter/flavours-of-physics/gridsearchcv-with-feature-in-xgboost Hope they can help.