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SLOPE 2.1.0

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@jolars jolars released this 02 Jun 11:51

New Features

  • refit() now allows not specifying x and y, in which case the training
    data will be used to refit the model with the optimal parameters found through
    cross-validation.

Bug Fixes

  • score() now correctly handles the case where the classes in the training and
    test data do not match, which can happen when scoring on a subset of the data
    set.