fast and easy statistical learning on neuroimaging data
This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.
This software package is maintained for (Neuro)Debian by the follow individuals and/or groups:
In order to get support, or to get in touch with a maintainer, please click the ‘Help’ button at the top of the page.
Version control system available: Browse sources
| Distribution | Base version | Our version | Architectures |
|---|---|---|---|
| Debian GNU/Linux 8.0 (jessie) | 0.1.4+git3-g60d2a1b~dfsg.1-1~nd80+1 | i386, amd64, sparc | |
| Debian testing (stretch) | 0.1.4+git3-g60d2a1b~dfsg.1-1~nd90+1 | i386, amd64, sparc | |
| Debian unstable (sid) | 0.1.4+git3-g60d2a1b~dfsg.1-1~nd+1 | i386, amd64, sparc | |
| Ubuntu 14.04 “Trusty Tahr” (trusty) | 0.1.4+git3-g60d2a1b~dfsg.1-1~nd14.04+1 | i386, amd64, sparc | |
| Ubuntu 14.10 “Utopic Unicorn” (utopic) | 0.1.4+git3-g60d2a1b~dfsg.1-1~nd14.10+1 | i386, amd64, sparc | |
| Ubuntu 15.04 “Vivid Vervet” (vivid) | 0.1.4+git3-g60d2a1b~dfsg.1-1~nd15.04+1 | i386, amd64, sparc |
