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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 can be found here.
Usage
It can be used in a scikit-learn-like fashion, combining a binning method (e.g., BinNumberTransformer) with a Cyclic Boosting estimator (find all estimators in the init). Usage examples can be found in the integration tests.
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