'Call inverse_transform on the estimator with the best found parameters.
Only available if the underlying estimator implements ``inverse_transform`` and
``refit=True``.
Parameters
Xt : indexable, length n_samples
Must fulfill the input assumptions of the
underlying estimator.'

@if_delegate_has_method(delegate=('best_estimator_', 'estimator'))
def inverse_transform(self, Xt):

    return self.best_estimator_.inverse_transform(Xt)
