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Source: sklearn-pandas
Maintainer: Christopher Baines <mail@cbaines.net>
Section: python
Priority: optional
Build-Depends: debhelper (>= 9),
dh-python,
python-all,
python-setuptools,
python-mock,
python-pytest,
python-numpy,
python-pandas,
python-sklearn,
python3-all,
python3-setuptools,
python3-mock,
python3-pytest,
python3-numpy,
python3-pandas,
python3-sklearn,
Standards-Version: 3.9.6
Homepage: https://github.com/paulgb/sklearn-pandas
Package: python-sklearn-pandas
Architecture: all
Depends: ${misc:Depends},
${python:Depends},
Description: Pandas integration with sklearn
sklearn-pandas provides a bridge between scikit-learn's machine learning
methods and pandas data frames.
.
In particular, it provides:
- a way to map DataFrame columns to transformations, which are later
recombined into features
- a way to cross-validate a pipeline that takes a pandas DataFrame as input.
Package: python3-sklearn-pandas
Architecture: all
Depends: ${misc:Depends},
${python3:Depends},
Description: Pandas integration with sklearn
sklearn-pandas provides a bridge between scikit-learn's machine learning
methods and pandas data frames.
.
In particular, it provides:
- a way to map DataFrame columns to transformations, which are later
recombined into features
- a way to cross-validate a pipeline that takes a pandas DataFrame as input.
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