8e0dea3d8fa8efecc9b3eaff721f997e08e74e57,deeppavlov/core/commands/train.py,,train_model_from_config,#Any#,46

Before Change

    if callable(getattr(model, "train_on_batch", None)):
        _train_batches(model, dataset, train_config, metrics_functions)
    elif callable(getattr(model, "fit", None)):
        _fit(model, dataset, train_config)
    else:
        "model is not adapted to the experimental_train yet"
        model.train(dataset)
        return

    if train_config["validate_best"] or train_config["test_best"]:
        try:
            model_config["load_path"] = model_config["save_path"]

After Change

def train_model_from_config(config_path: str):
    config = read_json(config_path)
    if "chainer" in config:
        return train_chainer(config_path)

    reader_config = config["dataset_reader"]
    reader = get_model(reader_config["name"])()
    data_path = expand_path(reader_config.get("data_path", ""))
    data = reader.read(data_path)

Instances