def __init__(self, hidden_layer=MLPRandomLayer(random_state=<NUM_LIT:0>), binarizer=LabelBinarizer(-<NUM_LIT:1>, <NUM_LIT:1>), regressor=None):
super(GenELMClassifier, self).__init__(hidden_layer, regressor)<EOL>self.binarizer = binarizer<EOL>self.classes_ = None<EOL>self.genelm_regressor_ = GenELMRegressor(hidden_layer, regressor)<EOL>
:param hidden_layer:
:param binarizer:
:param regressor:
:return: