def fit(self, X, y):
        rhl = self._create_random_layer()
        self._genelm_regressor = GenELMRegressor(hidden_layer=rhl,
                                                 regressor=self.regressor)
        self._genelm_regressor.fit(X, y)
        return self
Normalize declaration arguments
dataset/ETHPy150Open dclambert/Python-ELM/elm.py/ELMRegressor.fit--crossover with--dataset/ETHPy150Open kuri65536/python-for-android/python-modules/zope/zope/interface/declarations.py/_normalizeargs