archful = false
archive_name = "skforecast-0.17.0.tar.gz"
automode = true
extras = [
    "all",
    "deeplearning",
    "docs",
    "full",
    "plotting",
    "sarimax",
    "test",
]
license = "BSD-3-Clause"
license_files_present = true
name = "skforecast"
python_name = "python-skforecast"
source = "PyPI"
summary = "Skforecast is a Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others."
url = "https://www.skforecast.org"
version = "0.17.0"