(self, s, a)
| 75 | return [self.predict(s, a) for a in ALL_POSSIBLE_ACTIONS] |
| 76 | |
| 77 | def grad(self, s, a): |
| 78 | sa = merge_state_action(s, a) |
| 79 | x = self.featurizer.transform([sa])[0] |
| 80 | return x |
| 81 | |
| 82 | |
| 83 | if __name__ == '__main__': |
no test coverage detected