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skpro


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Author: Franz Király, Frithjof Gressmann, Vitaly Davydov
Summary: A unified framework for probability distributions and probabilistic supervised regression
Latest version: 2.2.2
Required dependencies: cyclic-boosting | numpy | packaging | pandas | pyarrow | scikit-base | scikit-learn | scipy
Optional dependencies: attrs | backoff | distfit | httpx | jupyter | lifelines | mapie | matplotlib | myst-parser | nbsphinx | ngboost | numpydoc | polars | pre-commit | pydata-sphinx-theme | pytest | pytest-cov | pytest-randomly | pytest-timeout | pytest-xdist | scikit-survival | sphinx | sphinx-design | sphinx-gallery | sphinx-issues | sphinx-panels | statsmodels | tabulate | uncertainties | wheel

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