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Install

Install this package:

emerge -a sci-libs/sklearn-pandas

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask sci-libs/sklearn-pandas

Or alternatively:

emerge --autounmask-write -a sci-libs/sklearn-pandas

Package Information

Description:

This module provides a bridge between Scikit-Learn's machine learning methods and pandas-style Data Frames. In particular, it provides a way to map DataFrame columns to transformations, which are later recombined into features.

Homepage:

https://github.com/scikit-learn-contrib/sklearn-pandas

License:

all-rights-reserved

Versions

Metadata

Description

• This module provides a bridge between Scikit-Learn's machine learning methods and pandas-style Data Frames. In particular, it provides a way to map DataFrame columns to transformations, which are later recombined into features.

Maintainers

• Gentoo Science Project (sci@gentoo.org) - Type: project
• Alexander Puck Neuwirth (alexander@neuwirth-informatik.de) - Type: person

Upstream

• Remote IDs:
  • pypi: sklearn-pandas
  • github: scikit-learn-contrib/sklearn-pandas

<pkgmetadata>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<maintainer type="person">
		<email>alexander@neuwirth-informatik.de</email>
		<name>Alexander Puck Neuwirth</name>
	</maintainer>
	<longdescription lang="en">
    This module provides a bridge between Scikit-Learn's machine learning methods and pandas-style Data Frames. In particular, it provides a way to map DataFrame columns to transformations, which are later recombined into features.
    </longdescription>
	<upstream>
		<remote-id type="pypi">sklearn-pandas</remote-id>
		<remote-id type="github">scikit-learn-contrib/sklearn-pandas</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild sklearn-pandas-2.2.0

Manifest