def _compute_biases(self, rs):

        # use supplied biases if present
        biases = self._get_user_components('biases')
        if (biases is None):
            b_size = self.n_hidden
            biases = rs.normal(size=b_size)

        self.components_['biases'] = biases
Generate MLP biases
dataset/ETHPy150Open dclambert/Python-ELM/random_layer.py/RandomLayer._compute_biases