Fedora Packages

python3-nilearn Subpackage of python-nilearn

Python module for fast and easy statistical learning on NeuroImaging data

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. This work is made available by a community of people, amongst which the INRIA Parietal Project Team and the scikit-learn folks, in particular P. Gervais, A. Abraham, V. Michel, A. Gramfort, G. Varoquaux, F. Pedregosa, B. Thirion, M. Eickenberg, C. F. Gorgolewski, D. Bzdok, L. Esteve and B. Cipollini. Detailed documentation is available at http://nilearn.github.io/.

Releases Overview

Release Stable Testing
Fedora Rawhide 0.9.1-3.fc37 -
Fedora 37 0.9.1-3.fc37 -
Fedora 36 0.8.1-4.fc36 -
Fedora 35 0.7.1-3.fc35 -
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Package Info

You can contact the maintainers of this package via email at python-nilearn dash maintainers at fedoraproject dot org.



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