PyPI page
Home page
Author:
None
Summary:
Skforecast is a Python library for time series forecasting using statistical and machine learning models. It works with any estimator compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others.
Latest version:
0.19.0
Required dependencies:
joblib
|
numba
|
numpy
|
optuna
|
pandas
|
rich
|
scikit-learn
|
scipy
|
tensorflow
|
tqdm
Optional dependencies:
aeon
|
black
|
jupyter-contrib-nbextensions
|
keras
|
lightgbm
|
matplotlib
|
mike
|
mkdocs
|
mkdocs-jupyter
|
mkdocs-material
|
mkdocstrings
|
mkdocstrings-python
|
notebook
|
pandas
|
pytest
|
pytest-cov
|
pytest-xdist
|
seaborn
|
skforecast
|
statsmodels
|
tomli
|
torch
|
xgboost
Downloads last day:
2,330
Downloads last week:
29,836
Downloads last month:
117,351