Python is_series_as_features_transformer примеры использования

Пример #1

Файл: __init__.py Проект: zhang-yuanye/sktime

def _make_transform_args(estimator, random_state=None):
    if is_series_as_features_transformer(estimator):
        return make_classification_problem(random_state=random_state)

    elif is_single_series_transformer(estimator) or is_forecaster(estimator):
        y = make_forecasting_problem(random_state=random_state)
        return (y,)

    else:
        raise ValueError(f"Estimator type: {type(estimator)} not supported")

Пример #2

Файл: __init__.py Проект: zhang-yuanye/sktime

def _make_fit_args(estimator, random_state=None, **kwargs):
    if is_forecaster(estimator):
        y = make_forecasting_problem(random_state=random_state, **kwargs)
        fh = 1
        return y, fh

    elif is_classifier(estimator):
        return make_classification_problem(random_state=random_state, **kwargs)

    elif is_regressor(estimator):
        return make_regression_problem(random_state=random_state, **kwargs)

    elif is_series_as_features_transformer(estimator):
        return make_classification_problem(random_state=random_state, **kwargs)

    elif is_single_series_transformer(estimator):
        y = make_forecasting_problem(random_state=random_state, **kwargs)
        return (y,)

    else:
        raise ValueError(f"Estimator type: {type(estimator)} not supported")