PythonOT/POT

Has POT incorporated the entropy-regularized Wasserstein loss for multilabel classification tasks?

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The paper 'Learning with a Wasserstein Loss' introduces the entropy-regularized Wasserstein loss for multilabel classification tasks, but I couldn't find how to call this function. Is this functionality integrated into POT?