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Author:
Franz Király, Frithjof Gressmann, Vitaly Davydov
Summary:
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Latest version:
2.9.0
Required dependencies:
cyclic-boosting
|
distfit
|
lifelines
|
mapie
|
ngboost
|
numpy
|
packaging
|
pandas
|
pyarrow
|
pymc
|
scikit-base
|
scikit-learn
|
scikit-survival
|
scipy
|
xgboostlss
Optional dependencies:
backoff
|
httpx
|
jupyter
|
matplotlib
|
myst-parser
|
nbsphinx
|
numpydoc
|
polars
|
pre-commit
|
pydata-sphinx-theme
|
pytest
|
pytest-cov
|
pytest-randomly
|
pytest-timeout
|
pytest-xdist
|
sphinx
|
sphinx-design
|
sphinx-gallery
|
sphinx-issues
|
sphinx-panels
|
statsmodels
|
tabulate
|
wheel
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