pymvpa2-tutorial

multivariate pattern analysis with Python v. 2

Install

All systems
curl cmd.cat/pymvpa2-tutorial.sh
Debian Debian
apt-get install python-mvpa2
Ubuntu
apt-get install python-mvpa2
Windows (WSL2)
sudo apt-get update sudo apt-get install python-mvpa2
Raspbian
apt-get install python-mvpa2
Dockerfile
dockerfile.run/pymvpa2-tutorial

python-mvpa2

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.