Multivariate Pattern Analysis in Python

### Navigation

- index
- modules |
- modules |
- PyMVPA Home |
- Sitemap »

# mvpa2.clfs.transerror.corr_error

`mvpa2.clfs.transerror.``corr_error`(predicted, target)

  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.

### Navigation

- index
- modules |
- modules |
- PyMVPA Home |
- Sitemap »