75ddbb82547e8eb3ea206d27051835c92b8291ce,snips_nlu/cli/training.py,,train,#Any#Any#Any#,17

Before Change

    print("Create and train the engine...")

    serialized_engine = bytes(json.dumps(engine.to_dict()), encoding="utf8")
    with Path(output_path).open("w", encoding="utf8") as f:
        f.write(serialized_engine.decode("utf8"))
    print("Saved the trained engine to %s" % output_path)

After Change

    print("Create and train the engine...")
    engine = SnipsNLUEngine(config).fit(dataset)

    print("Persisting the engine...")
    engine.persist(output_path)

    print("Saved the trained engine to %s" % output_path)

Instances