'Compute the maximum absolute value to be used for later scaling.
Parameters
X : {array-like, sparse matrix}, shape [n_samples, n_features]
The data used to compute the per-feature minimum and maximum
used for later scaling along the features axis.'

def fit(self, X, y=None):

    self._reset()
    return self.partial_fit(X, y)
