27cb23d31e158066bd4af7333a7c958b24d4d167,ml/rl/training/_parametric_dqn_predictor.py,_ParametricDQNPredictor,load,#Any#Any#Any#,44

Before Change

    @classmethod
    def load(cls, db_path, db_type):
        raise NotImplementedError

After Change

    def load(cls, db_path, db_type, *args, **kwargs):
        ws = Workspace()
        with ws._ctx:
            net = prepare_prediction_net(db_path, db_type)
            // TODO: reconstruct pem if so the predictor can be saved back
        return cls(pem=None, ws=ws, predict_net=net)

Instances