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Author:
Joaquin Amat Rodrigo
Summary:
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models.
Latest version:
0.27.0
Required dependencies:
joblib
|
numba
|
numpy
|
optuna
|
pandas
|
rich
|
scikit-learn
|
scipy
|
tqdm
Optional dependencies:
black
|
catboost
|
cloudpickle
|
keras
|
lightgbm
|
matplotlib
|
mike
|
mkdocs
|
mkdocs-jupyter
|
mkdocs-material
|
mkdocstrings
|
mkdocstrings-python
|
pandas
|
pymdown-extensions
|
pytest
|
pytest-cov
|
pytest-github-actions-annotate-failures
|
skforecast
|
skops
|
statsmodels
|
tensorflow
|
tomli
|
torch
|
xgboost
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