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Install

Install this package:

emerge -a sci-biology/nilearn

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

autounmask sci-biology/nilearn

Or alternatively:

emerge --autounmask-write -a sci-biology/nilearn

Package Information

Description:

Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data. It leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.

Homepage:

http://nilearn.github.io/

License:

BSD

Versions

Metadata

Description

• Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data. It leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.

Maintainers

• Horea Christian (gentoo@chymera.eu) - Type: person
• Gentoo Science Project (sci@gentoo.org) - Type: project

Upstream

• Remote IDs:
  • github: nilearn/nilearn
  • pypi: nilearn

<pkgmetadata>
	<maintainer type="person">
		<email>gentoo@chymera.eu</email>
		<name>Horea Christian</name>
	</maintainer>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<longdescription lang="en">
Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data.
It leverages the scikit-learn Python toolbox for multivariate statistics with applications
such as predictive modelling, classification, decoding, or connectivity analysis.
</longdescription>
	<upstream>
		<remote-id type="github">nilearn/nilearn</remote-id>
		<remote-id type="pypi">nilearn</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] USE flag 'test' in ebuild 0.9.1-r1 is not documented in metadata.xml
• [Error] Missing md5-cache for ebuild nilearn-0.9.1-r1

USE Flags

Manage flags for this package: euse -i <flag> -p sci-biology/nilearn | euse -E <flag> -p sci-biology/nilearn | euse -D <flag> -p sci-biology/nilearn

Files

• nilearn-0.9.1-tests.patch

Manifest