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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 permi...
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:
0.15.1
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
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