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pypi.org : sktime : 0.23.1
A unified framework for machine learning with time series
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purl: pkg:pypi/[email protected]
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v0.23.1
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Dependencies
- esig ==0.9.7 (python_version<3.10)andall_extras
- esig ==0.9.7 (python_version<3.10)andall_extras_pandas2
- filterpy >=1.4.5 (python_version<3.11)andall_extras
- hmmlearn >=0.2.7 (python_version<3.11)andall_extras
- keras-self-attention * (python_version<3.11)andall_extras
- pykalman >=0.9.5 (python_version<3.11)andall_extras
- pyod >=0.8.0 (python_version<3.11)andall_extras
- stumpy >=1.5.1 (python_version<3.11)andall_extras
- tensorflow * (python_version<3.11)andall_extras
- tslearn <0.6.0,>=0.5.2 (python_version<3.11)andall_extras
- filterpy >=1.4.5 (python_version<3.11)andall_extras_pandas2
- hmmlearn >=0.2.7 (python_version<3.11)andall_extras_pandas2
- keras-self-attention * (python_version<3.11)andall_extras_pandas2
- pykalman >=0.9.5 (python_version<3.11)andall_extras_pandas2
- pyod >=0.8.0 (python_version<3.11)andall_extras_pandas2
- stumpy >=1.5.1 (python_version<3.11)andall_extras_pandas2
- tensorflow * (python_version<3.11)andall_extras_pandas2
- tslearn <0.6.0,>=0.5.2 (python_version<3.11)andall_extras_pandas2
- mrsqm * (python_version<3.11)andcython_extras
- dtw-python <1.4,>=1.3 alignment
- numba <0.58,>=0.53 alignment
- arch <6.3.0,>=5.6.0 all_extras
- cloudpickle * all_extras
- dash !=2.9.0 all_extras
- dask * all_extras
- dtw-python * all_extras
- gluonts >=0.9.0 all_extras
- h5py * all_extras
- holidays * all_extras
- kotsu >=0.3.1 all_extras
- matplotlib >=3.3.2 all_extras
- mne * all_extras
- numba <0.58,>=0.53 all_extras
- pmdarima !=1.8.1,<3.0.0,>=1.8.0 all_extras
- prophet >=1.1 all_extras
- pycatch22 * all_extras
- scikit-optimize * all_extras
- scikit-posthocs >=0.6.5 all_extras
- seaborn >=0.11.0 all_extras
- seasonal * all_extras
- skpro <2.1.0,>=2.0.0 all_extras
- statsforecast <1.7.0,>=0.5.2 all_extras
- statsmodels >=0.12.1 all_extras
- tbats >=1.1.0 all_extras
- tsfresh >=0.17.0 all_extras
- xarray * all_extras
- arch <6.3.0,>=5.6.0 all_extras_pandas2
- cloudpickle * all_extras_pandas2
- dash !=2.9.0 all_extras_pandas2
- dask <2023.7.1 all_extras_pandas2
- dtw-python * all_extras_pandas2
- gluonts >=0.9.0 all_extras_pandas2
- h5py * all_extras_pandas2
- holidays * all_extras_pandas2
- kotsu >=0.3.1 all_extras_pandas2
- matplotlib >=3.3.2 all_extras_pandas2
- mne * all_extras_pandas2
- numba <0.58,>=0.53 all_extras_pandas2
- pmdarima !=1.8.1,<3.0.0,>=1.8.0 all_extras_pandas2
- prophet >=1.1 all_extras_pandas2
- pycatch22 * all_extras_pandas2
- scikit-posthocs >=0.6.5 all_extras_pandas2
- seaborn >=0.11.0 all_extras_pandas2
- seasonal * all_extras_pandas2
- skpro <2.1.0,>=2.0.0 all_extras_pandas2
- statsforecast <1.7.0,>=0.5.2 all_extras_pandas2
- statsmodels >=0.12.1 all_extras_pandas2
- tbats >=1.1.0 all_extras_pandas2
- tsfresh >=0.17.0 all_extras_pandas2
- xarray * all_extras_pandas2
- hmmlearn <0.4,>=0.2.7 annotation
- numba <0.58,>=0.53 annotation
- pyod <1.2,>=0.8.0 annotation
- jupyter * binder
- pandas <2.0.0 binder
- esig <0.10,>=0.9.7 classification
- mrsqm <0.1,>=0.0.3 classification
- numba <0.58,>=0.53 classification
- tensorflow <=2.14,>=2 classification
- tsfresh <0.21,>=0.17 classification
- numba <0.58,>=0.53 clustering
- tslearn <0.6.3,>=0.5.2 clustering
- mrseql * cython_extras
- numba <0.58 cython_extras
- backoff * dev
- httpx * dev
- pre-commit * dev
- pytest * dev
- pytest-cov * dev
- pytest-randomly * dev
- pytest-timeout * dev
- pytest-xdist * dev
- wheel * dev
- tensorflow * dl
- Sphinx !=7.2.0,<8.0.0 docs
- jupyter * docs
- myst-parser * docs
- nbsphinx >=0.8.6 docs
- numpydoc * docs
- pydata-sphinx-theme * docs
- sphinx-copybutton * docs
- sphinx-design <0.6.0 docs
- sphinx-gallery <0.15.0 docs
- sphinx-issues <4.0.0 docs
- sphinx-version-warning * docs
- tabulate * docs
- arch <6.3.0,>=5.6.0 forecasting
- pmdarima !=1.8.1,<2.1,>=1.8 forecasting
- prophet <1.2,>=1.1 forecasting
- skpro <2.1.0,>=2.0.0 forecasting
- statsforecast <1.7,>=0.5.2 forecasting
- statsmodels <0.15,>=0.12.1 forecasting
- tbats <1.2,>=1.1 forecasting
- mlflow * mlflow
- boto3 * mlflow_tests
- botocore * mlflow_tests
- mlflow * mlflow_tests
- moto * mlflow_tests
- keras-self-attention <0.52,>=0.51 networks
- tensorflow <=2.14,>=2 networks
- pandas <2.0.0 pandas1
- seasonal <0.4,>=0.3.1 param_est
- statsmodels <0.15,>=0.12.1 param_est
- numba <0.58,>=0.53 regression
- tensorflow <=2.14,>=2 regression
- numpy <1.27,>=1.21.0
- packaging *
- pandas <2.2.0,>=1.1.0
- scikit-base <0.6.0
- scikit-learn <1.4.0,>=0.24.0
- scipy <2.0.0,>=1.2.0
- esig <0.10,>=0.9.7 transformations
- filterpy <1.5,>=1.4.5 transformations
- holidays <0.34,>=0.29 transformations
- mne <1.6,>=1.5 transformations
- numba <0.58,>=0.53 transformations
- pycatch22 <0.5,>=0.4 transformations
- pykalman <0.10,>=0.9.5 transformations
- statsmodels <0.15,>=0.12.1 transformations
- stumpy <1.13,>=1.5.1 transformations
- tsfresh <0.21,>=0.17 transformations