skforecast

PyPI page
Home page
Author: None
License: BSD 3-Clause License Copyright (c) 2021-2024, skforecast developers Redistribution and use in source and binary forms, with or without modification, are ...
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.
Latest version: 0.15.0
Required dependencies: joblib | numba | numpy | optuna | pandas | rich | scikit-learn | tensorflow | torch | tqdm
Optional dependencies: black | jupyter-contrib-nbextensions | keras | lightgbm | matplotlib | mike | mkdocs | mkdocs-jupyter | mkdocs-material | mkdocstrings | mkdocstrings-python | notebook | pandas | pytest | pytest-cov | pytest-xdist | seaborn | statsmodels | tomli

Downloads last day: 3,376
Downloads last week: 22,939
Downloads last month: 99,313