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=[], )
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=[], )
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)])