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Experiments for Binarsity: a penalization for one-hot encoded features

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Experiments for Binarsity: a penalization for one-hot encoded features

This is the main code used in the experiments of the paper entitled "Binarsity: a penalization for one-hot encoded features" available here and accepted for publication in JMLR.

To re-use this code, you must install tick, a Python 3 module for statistical learning available here, and replace all mlpp occurences by tick (modulo some updates).