medacy.__main__ module

MedaCy CLI Setup

medacy.__main__.cross_validate(args, dataset, model)

Used for running k-fold cross validations. :param args: Argparse args object. :param dataset: Dataset to use for training. :param model: Untrained model object to use.

medacy.__main__.main()

Main function where initial argument parsing happens.

medacy.__main__.predict(args, dataset, model)

Used for running predictions on new datasets. :param args: Argparse args object. :param dataset: Dataset to run prediction over. :param model: Trained model to use for predictions.

medacy.__main__.setup(args)

Sets up dataset and pipeline/model since it gets used by every command. :param args: Argparse args object. :return dataset, model: The dataset and model objects created.

medacy.__main__.train(args, dataset, model)

Used for training new models. :param args: Argparse args object. :param dataset: Dataset to use for training. :param model: Untrained model object to use.