'Fit the model to data matrix X and target(s) y.
Parameters
X : array-like or sparse matrix, shape (n_samples, n_features)
The input data.
y : array-like, shape (n_samples,) or (n_samples, n_outputs)
The target values (class labels in classification, real numbers in
regression).
Returns
self : returns a trained MLP model.'

def fit(self, X, y):

    return self._fit(X, y, incremental=False)
