(self, s)
| 54 | self.models.append(model) |
| 55 | |
| 56 | def predict(self, s): |
| 57 | X = self.feature_transformer.transform([s]) |
| 58 | assert(len(X.shape) == 2) |
| 59 | result = np.stack([m.predict(X) for m in self.models]).T |
| 60 | assert(len(result.shape) == 2) |
| 61 | return result |
| 62 | |
| 63 | def update(self, s, a, G, gamma, lambda_): |
| 64 | X = self.feature_transformer.transform([s]) |
no test coverage detected