'Fit the RFE model and then the underlying estimator on the selected
features.
Parameters
X : {array-like, sparse matrix}, shape = [n_samples, n_features]
The training input samples.
y : array-like, shape = [n_samples]
The target values.'

def fit(self, X, y):

    return self._fit(X, y)
