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A high performance implementation of HDBSCAN clustering.
Python module to perform under sampling and over sampling with various techniques.
A library of sklearn compatible categorical variable encoders
Pandas integration with sklearn
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
Confidence intervals for scikit-learn forest algorithms
machine learning with logical rules in Python
A template for scikit-learn extensions
Large-scale linear classification, regression and ranking in Python
scikit-learn compatible projects
Python implementations of the Boruta all-relevant feature selection method.
A library for factorization machines and polynomial networks for classification and regression in Python.