(self)
| 58 | imdb.indices_to_words(reverse_index, indices)) |
| 59 | |
| 60 | def testTrainLSTMModel(self): |
| 61 | data_size = 10 |
| 62 | x_train = np.random.randint(0, 100, (data_size,)) |
| 63 | y_train = np.random.randint(0, 2, (data_size,)) |
| 64 | x_test = np.random.randint(0, 100, (data_size,)) |
| 65 | y_test = np.random.randint(0, 2, (data_size,)) |
| 66 | |
| 67 | vocabulary_size = 100 |
| 68 | embedding_size = 32 |
| 69 | epochs = 1 |
| 70 | batch_size = data_size |
| 71 | model = imdb.train_model( |
| 72 | 'lstm', vocabulary_size, embedding_size, |
| 73 | x_train, y_train, x_test, y_test, |
| 74 | epochs, batch_size) |
| 75 | self.assertTrue(model.layers) |
| 76 | |
| 77 | def testTrainModelWithInvalidModelTypeRaisesError(self): |
| 78 | data_size = 10 |
nothing calls this directly
no outgoing calls
no test coverage detected