Python TorchModel.update Examples

Example #1

File: test_torch.py Project: proteanblank/Ax

 def testTorchModelUpdate(self):
     model = TorchModel()
     with self.assertRaises(NotImplementedError):
         model.update(
             Xs=[np.array(0)],
             Ys=[np.array(0)],
             Yvars=[np.array(1)],
             search_space_digest=SearchSpaceDigest(feature_names=[],
                                                   bounds=[]),
             metric_names=[],
         )

Example #2

 def testTorchModelUpdate(self):
     numpy_model = TorchModel()
     with self.assertRaises(NotImplementedError):
         numpy_model.update(
             Xs=[np.array(0)],
             Ys=[np.array(0)],
             Yvars=[np.array(1)],
             bounds=[],
             task_features=[],
             fidelity_features=[],
             feature_names=[],
             metric_names=[],
         )

Example #3

 def testTorchModelUpdate(self):
     numpy_model = TorchModel()
     with self.assertRaises(NotImplementedError):
         numpy_model.update(Xs=[np.array(0)],
                            Ys=[np.array(0)],
                            Yvars=[np.array(1)])