sci-biology/nilearn/metadata.xml


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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="pypi">nilearn</remote-id>
    <remote-id type="github">nilearn/nilearn</remote-id>
  </upstream>
</pkgmetadata>