'Fit the model to data matrix X and target y.
Parameters
X : {array-like, sparse matrix}, shape (n_samples, n_features)
The input data.
y : array-like, shape (n_samples,)
The target values.
Returns
self : returns a trained MLP model.'

@property
def partial_fit(self):

    if (self.solver not in _STOCHASTIC_SOLVERS):
        raise AttributeError(('partial_fit    is    only    available    for    stochastic    optimizers.    %s    is    not    stochastic.' % self.solver))
    return self._partial_fit
