GradientBoostingAgentClass.py 文件源码

def _pad_features_with_zeros(self, state, action):
        '''
        Args:
            features (iterable)

        Returns:
            (list): Of the same length as self.max_state_features
        '''
        features = state.features()
        while len(features) < self.max_state_features:
            features = np.append(features, 0)

        # Reshape per update to cluster regression in sklearn 0.17.
        reshaped_features = np.append(features, [self.actions.index(action)])
        reshaped_features = reshaped_features.reshape(1, -1)

        return reshaped_features