def METHOD_NAME(self, x, y, **kwargs):
    # Instantiate a new binary classifier if the class is new
    if y not in self.classifiers:
        self.classifiers[y] = self.classifier.clone()
    # Train each label's associated classifier
    for label, model in self.classifiers.items():
        model.METHOD_NAME(x, y == label, **kwargs)
    return self