| Multivariate Pattern Analysis in Python

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This content refers to the previous stable release of PyMVPA. Please visit www.pymvpa.org for the most recent version of PyMVPA and its documentation.

# TODO

> - OptimizedClassifier: to automatically select the model in an easy and non-biased(i.e. non-cheating) way, so it could become a part of any more advanced pipeline as a regular classifier
> - Add ability to add/modify custom attributes to a dataset instance
> - IPython mode
> - Possibly make NiftiDataset default to float32 when it sees that the data are ints
> - Along with ICA mapper, we should add a PLS mapper

### Navigation

- index
- next |
- previous |
- ExpPsy Project |
- NeuroDebian Project |
- PyMVPA 0.4.x Home |
- PyMVPA Home |
- Documentation »