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Author:
None
License:
Apache-2.0
Summary:
Point and probabilistic time series forecasting — one interface, every model.
Latest version:
1.0.0
Required dependencies:
antropy
|
astral
|
catboost
|
great-tables
|
hurst
|
lets-plot
|
lightgbm
|
ngboost
|
numpy
|
optuna
|
optuna-integration
|
pandas
|
pyarrow
|
pydantic
|
quantile-forest
|
rich
|
scikit-learn
|
statsmodels
|
streamlit
|
tqdm
|
xgboost
Optional dependencies:
anyio
|
apscheduler
|
chronos-forecasting
|
commitizen
|
evidently
|
fastapi
|
ipykernel
|
ipython
|
ipywidgets
|
jupyter-cache
|
lightning
|
matplotlib
|
matplotlib-inline
|
mlflow
|
myst-nb
|
myst-parser
|
nbstripout
|
notebook
|
optuna-dashboard
|
plotly
|
pre-commit
|
prefect
|
pydantic-settings
|
pydata-sphinx-theme
|
pytest
|
pytest-cov
|
pytest-mpl
|
pytest-xdist
|
ruff
|
shap
|
sphinx
|
sphinx-autobuild
|
sphinx-autodoc-typehints
|
sphinx-copybutton
|
sphinx-design
|
sphinx-prompt
|
sphinx-tabs
|
sphinx-togglebutton
|
sphinxcontrib-mermaid
|
tensorboard
|
torch
|
torchmetrics
|
ty
|
uvicorn
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