def test_from_data_frame_multilabel(): dm = TextClassificationData.from_data_frame( "sentence", ["lab1", "lab2"], train_data_frame=TEST_DATA_FRAME_DATA_MULTILABEL, val_data_frame=TEST_DATA_FRAME_DATA_MULTILABEL, test_data_frame=TEST_DATA_FRAME_DATA_MULTILABEL, predict_data_frame=TEST_DATA_FRAME_DATA_MULTILABEL, batch_size=1, ) assert dm.multi_label batch = next(iter(dm.train_dataloader())) assert all([label in [0, 1] for label in batch[DataKeys.TARGET][0]]) assert isinstance(batch[DataKeys.INPUT][0], str) batch = next(iter(dm.val_dataloader())) assert all([label in [0, 1] for label in batch[DataKeys.TARGET][0]]) assert isinstance(batch[DataKeys.INPUT][0], str) batch = next(iter(dm.test_dataloader())) assert all([label in [0, 1] for label in batch[DataKeys.TARGET][0]]) assert isinstance(batch[DataKeys.INPUT][0], str) batch = next(iter(dm.predict_dataloader())) assert isinstance(batch[DataKeys.INPUT][0], str)
def test_from_data_frame(): dm = TextClassificationData.from_data_frame( "sentence", "lab1", train_data_frame=TEST_DATA_FRAME_DATA, val_data_frame=TEST_DATA_FRAME_DATA, test_data_frame=TEST_DATA_FRAME_DATA, predict_data_frame=TEST_DATA_FRAME_DATA, batch_size=1, ) batch = next(iter(dm.train_dataloader())) assert batch[DataKeys.TARGET].item() in [0, 1] assert isinstance(batch[DataKeys.INPUT][0], str) batch = next(iter(dm.val_dataloader())) assert batch[DataKeys.TARGET].item() in [0, 1] assert isinstance(batch[DataKeys.INPUT][0], str) batch = next(iter(dm.test_dataloader())) assert batch[DataKeys.TARGET].item() in [0, 1] assert isinstance(batch[DataKeys.INPUT][0], str) batch = next(iter(dm.predict_dataloader())) assert isinstance(batch[DataKeys.INPUT][0], str)