'Transform each data slice with all possible estimators.
Parameters
X : array, shape (n_samples, nd_features, n_slices)
The input samples. For estimator the corresponding data slice is
used to make a transformation. The feature dimension can be
multidimensional e.g.
X.shape = (n_samples, n_features_1, n_features_2, n_estimators)
Returns
Xt : array, shape (n_samples, n_estimators, n_slices)
The transformed values generated by each estimator.'

def transform(self, X):

    return self._transform(X, 'transform')
