xgboost/demo/guide-python/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
• Sklearn Parallel
• Sklearn access evals result
• Access evals result
• External Memory