0a01df9bdc0bd142eff95a1c878947047194d617,deeppavlov/core/commands/train.py,,train_model_from_config,#Any#,72

Before Change

    reader = get_model(reader_config["name"])()
    data_path = expand_path(reader_config.get("data_path", ""))
    kwargs = reader_config.copy()
    if "name" in kwargs: del kwargs["name"]
    if "data_path" in kwargs: del kwargs["data_path"]
    data = reader.read(data_path, **kwargs)

    iterator_config = config["dataset_iterator"]

After Change

    dataset_config = config.get("dataset", None)

    if dataset_config:
        config.pop("dataset")
        ds_type = dataset_config["type"]
        if ds_type == "classification":
            reader = {"name": "basic_classification_reader"}
            iterator = {"name": "basic_classification_iterator"}

Instances