cyclic-boosting 0.0.2

No project description provided

cyclic-boosting

This package contains the implementation of the Machine Learning algorithm Cyclic Boosting, which is described in Cyclic Boosting - an explainable supervised machine learning algorithm and Demand Forecasting of Individual Probability Density Functions with Machine Learning.

Documentation

The documentation of this package can be found here.

Usage

It can be used in a scikit-learn-like fashion. You need to combine a binner (e.g., BinNumberTransformer) with an estimator (find all estimators in the init). A usage example can be found in the integration tests. A more detailed example, including additional helper functionality, can be found here.