48f991768b7274655b7cbc0e6e6124dac5873cdd,mushroom_rl/approximators/parametric/cmac.py,CMAC,__init__,#CMAC#Any#Any#Any#,13

Before Change

        if weights is not None:
            assert weights.size == output_dim * self._phi.size
            self._w = weights.reshape((output_dim, -1))
        else:
            self._w = np.zeros((output_dim, self._phi.size))

        self._add_save_attr(_w="numpy", _phi="pickle")

    def fit(self, x, y, **fit_params):

After Change

        self._phi = Features(tilings=tiles)
        self._n = len(tiles)

        super().__init__(weights=weights, input_shape=(self._phi.size,), output_shape=output_shape)

        self._add_save_attr(_phi="pickle")

    def fit(self, x, y, **fit_params):

Instances