def __init__(self, hidden_layer=MLPRandomLayer(random_state=<NUM_LIT:0>), regressor=None):
super(GenELMRegressor, self).__init__(hidden_layer, regressor)<EOL>self.coefs_ = None<EOL>self.fitted_ = False<EOL>self.hidden_activations_ = None<EOL>
:param hidden_layer:
:param regressor:
:return: