- 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
- Sklearn Parallel
- Sklearn access evals result
- Access evals result
- External Memory
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guide-python
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