hep_ml documentation

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

Contents:

Gradient boosting

Losses (loss functions for gradient boosting)

uBoost

Metric functions

Neural networks