add balanced class functionality #53
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interesting feature, are you reading to try and fix travis? |
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Seems like the tests are failing because setup.py (requirements.txt) installs sklearn 0.24.1 and numpy 1.20.2, and imports for |
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Description
Often when working with imbalanced datasets, it is necessary to fit DecisionTreeClassifier with class weights.
This simple PR adds the class_weight parameter to the SkopeRules constructor which is then passed to the DecisionTreeClassifier. An alternative would have been to pass a set of optional kwargs to the Classifier / Regressor, but that adds complexity that may not be needed.
Comments welcome.