Multivariate Pattern Analysis in Python

# mvpa2.measures.rsa

Representational (dis)similarity analysis

Classes

`CDist`(**kwargs) | Compute cross-validated dissimiliarity matrix for samples in a dataset
`PDist`(**kwargs) | Compute dissimiliarity matrix for samples in a dataset
`PDistConsistency`(**kwargs) | Calculate the correlations of PDist measures across chunks
`PDistTargetSimilarity`(target_dsm, **kwargs) | Calculate the correlations of PDist measures with a target
`Regression`(predictors[, keep_pairs]) | Given a dataset, compute regularized regression (Ridge or Lasso) on the computed neural dissimilarity matrix using an arbitrary number of predictors (model dissimilarity matrices).