| Name : python3-nilearn
| |
| Version : 0.10.1
| Vendor : Fedora Project
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| Release : 4.fc39
| Date : 2023-07-21 13:49:34
|
| Group : Unspecified
| Source RPM : python-nilearn-0.10.1-4.fc39.src.rpm
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| Size : 19.33 MB
| |
| Packager : Fedora Project
| |
| Summary : Python module for fast and easy statistical learning on NeuroImaging data
|
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.
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/.
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RPM found in directory: /vol/rzm3/linux-fedora-buffet/fedora-secondary/releases/39/Everything/ppc64le/os/Packages/p |
