c2e63ae0cec5359300cd8dbc93ee47f1fbd582aa,tests/train_test.py,TrainerTest,test_train,#TrainerTest#,14

Before Change

class TrainerTest(unittest.TestCase):

    def test_train(self):
        DATA_ROOT = os.path.join(os.path.dirname(__file__), "../data/conll2003/en/ner")
        SAVE_ROOT = os.path.join(os.path.dirname(__file__), "../models")  // trained model
        LOG_ROOT = os.path.join(os.path.dirname(__file__), "../logs")     // checkpoint, tensorboard
        embedding_path = os.path.join(os.path.dirname(__file__), "../data/glove.6B/glove.6B.100d.txt")

After Change

        embeddings = load_word_embeddings(p.vocab_word, EMBEDDING_PATH, model_config.word_embedding_size)
        model_config.char_vocab_size = len(p.vocab_char)

        model = SeqLabeling(model_config, embeddings, len(p.vocab_tag))

        trainer = anago.Trainer(model,
                                training_config,
                                checkpoint_path=LOG_ROOT,

Instances