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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="person">
<email>horea.christ@gmail.com</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>
<use>
<flag name="plot">Adds optional dependency needed for plotting function subset.</flag>
</use>
<upstream>
<remote-id type="github">nilearn/nilearn</remote-id>
<remote-id type="pypi">nilearn</remote-id>
</upstream>
</pkgmetadata>
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