How to Install and Uninstall python3-formulaic.noarch Package on Fedora 38
Last updated: November 15,2024
1. Install "python3-formulaic.noarch" package
Please follow the steps below to install python3-formulaic.noarch on Fedora 38
$
sudo dnf update
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$
sudo dnf install
python3-formulaic.noarch
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2. Uninstall "python3-formulaic.noarch" package
Please follow the guidance below to uninstall python3-formulaic.noarch on Fedora 38:
$
sudo dnf remove
python3-formulaic.noarch
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$
sudo dnf autoremove
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3. Information about the python3-formulaic.noarch package on Fedora 38
Last metadata expiration check: 5:39:11 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : python3-formulaic
Version : 0.6.6
Release : 2.fc38
Architecture : noarch
Size : 220 k
Source : python-formulaic-0.6.6-2.fc38.src.rpm
Repository : updates
Summary : A high-performance implementation of Wilkinson formulas
URL : https://github.com/matthewwardrop/formulaic
License : MIT
Description : Formulaic is a high-performance implementation of Wilkinson formulas for
: Python.
:
: It provides:
:
: - high-performance dataframe to model-matrix conversions.
: - support for reusing the encoding choices made during conversion of one
: data-set on other datasets.
: - extensible formula parsing.
: - extensible data input/output plugins, with implementations for:
: - input:
: - pandas.DataFrame
: - pyarrow.Table
: - output:
: - pandas.DataFrame
: - numpy.ndarray
: - scipy.sparse.CSCMatrix
: - support for symbolic differentiation of formulas (and hence model matrices).
Available Packages
Name : python3-formulaic
Version : 0.6.6
Release : 2.fc38
Architecture : noarch
Size : 220 k
Source : python-formulaic-0.6.6-2.fc38.src.rpm
Repository : updates
Summary : A high-performance implementation of Wilkinson formulas
URL : https://github.com/matthewwardrop/formulaic
License : MIT
Description : Formulaic is a high-performance implementation of Wilkinson formulas for
: Python.
:
: It provides:
:
: - high-performance dataframe to model-matrix conversions.
: - support for reusing the encoding choices made during conversion of one
: data-set on other datasets.
: - extensible formula parsing.
: - extensible data input/output plugins, with implementations for:
: - input:
: - pandas.DataFrame
: - pyarrow.Table
: - output:
: - pandas.DataFrame
: - numpy.ndarray
: - scipy.sparse.CSCMatrix
: - support for symbolic differentiation of formulas (and hence model matrices).