To provide the most recent news and documentation www.pymvpa.org reflects the
development 2.0 series (renamed 0.6 series) of PyMVPA. If you are interested in the
documentation of the previous stable 0.4 series of PyMVPA, please
visit v04.pymvpa.org.
Computes the correlation between the target and the
predicted values. Resultant value is the 1 - correlation
coefficient, so minimization leads to the best value (at 0).
In case of NaN correlation (no variance in predictors or
targets) result output error is 1.0.
Quick search
Enter search terms or a module, class or function name.
