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sktime


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Author: sktime developers
License: BSD 3-Clause License Copyright (c) 2019 - present, The sktime developers. All rights reserved. Redistribution and use in source and binary forms, wit...
Summary: A unified framework for machine learning with time series
Latest version: 1.2.0
Required dependencies: joblib | numpy | packaging | pandas | scikit-base | scikit-learn | scipy
Optional dependencies: accelerate | arch | backoff | boto3 | botocore | catboost | cloudpickle | dtaidistance | dtw-python | einops | gluonts | hmmlearn | holidays | httpx | huggingface-hub | hydra-core | jupyter | lightning | matplotlib | mlflow | moto | mrseql | mrsqm | myst-parser | nbsphinx | networkx | neuralforecast | numba | numpy | numpydoc | pandas | peft | pmdarima | polars | pre-commit | prophet | pycatch22 | pydata-sphinx-theme | pyod | pytest | pytest-randomly | pytest-timeout | pytest-xdist | pytorch-forecasting | rdata | requests | seaborn | seasonal | simdkalman | skforecast | skpro | sphinx | sphinx-copybutton | sphinx-design | sphinx-gallery | sphinx-issues | statsforecast | statsmodels | tabulate | tensorflow | torch | torchmetrics | tqdm | transformers | ts2vg | tsfresh | tslearn | wheel

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