multivariate pattern analysis with Python v. 2
PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun).
While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets.
This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package.
Related packages: python-mvpa2-doc, python-mvpa2-lib
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 6.0 (squeeze) | 2.2.0-3~nd60+1 | i386, amd64, sparc | |
| Debian GNU/Linux 7.0 (wheezy) | 2.1.0-1 | 2.4.0-1~nd70+1 | i386, amd64, sparc |
| Debian GNU/Linux 8.0 (jessie) | 2.3.1-2 | 2.4.0-1~nd80+1 | i386, amd64, sparc |
| Debian testing (stretch) | 2.4.0-1 | 2.4.0-1~nd90+1 | i386, amd64, sparc |
| Debian unstable (sid) | 2.4.0-1 | 2.4.0-1~nd+1 | i386, amd64, sparc |
| Ubuntu 10.04 LTS “Lucid Lynx” (lucid) | 2.2.0-3~nd10.04+1 | i386, amd64, sparc | |
| Ubuntu 12.04 LTS “Precise Pangolin” (precise) | 2.0.0-6 | 2.4.0-1~nd12.04+1 | i386, amd64, sparc |
| Ubuntu 14.04 “Trusty Tahr” (trusty) | 2.2.0-4ubuntu2 | 2.4.0-1~nd14.04+1 | i386, amd64, sparc |
| Ubuntu 14.10 “Utopic Unicorn” (utopic) | 2.3.1-1 | 2.4.0-1~nd14.10+1 | i386, amd64, sparc |
| Ubuntu 15.04 “Vivid Vervet” (vivid) | 2.3.1-2 | 2.4.0-1~nd15.04+1 | i386, amd64, sparc |
