• Add a stopping criterion and parameter tuning heuristic for Huber robust mean


  • Add CLARA (Clustering for Large Applications) which extends k-medoids to

    be more scalable using a sampling approach. [#83].

  • Fix _estimator_type for robust estimators. Fix misbehavior of scikit-learn’s cross_val_score and GridSearchCV for RobustWeightedClassifier

Version 0.2.0

April 14, 2021

List of contributors (in alphabetical order)

Christos Aridas, Jan-Oliver Joswig, Timothée Mathieu, Roman Yurchak