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PyMVPA - The Movie

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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.

TODOΒΆ

  • 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