hep_ml documentation

hep_ml is machine learning library filled with methods used in high energy physics. Classifiers from hep_ml are sklearn-compatible.

Modules:

• Gradient boosting and loss functions
• uBoost
• Metric functions
• Neural networks

Contents:

• Gradient boosting
• Losses (loss functions for gradient boosting)
• uBoost
• Metric functions
• Neural networks