| 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.

# clfs.warehouse

## Module: `clfs.warehouse`

Inheritance diagram for `mvpa.clfs.warehouse`:

Collection of classifiers to ease the exploration.

## `Warehouse`

class `mvpa.clfs.warehouse.``Warehouse`(known_tags=None, matches=None)

  Bases: `object`

  Class to keep known instantiated classifiers

  Should provide easy ways to select classifiers of needed kind: clfswh[‘linear’, ‘svm’] should return all linear SVMs clfswh[‘linear’, ‘multiclass’] should return all linear classifiers capable of doing multiclass classification

  Initialize warehouse

  Parameters:

  - known_tags (list of basestring) – List of known tags
  - matches (dict) – Optional dictionary of additional matches. E.g. since any regression can be used as a binary classifier, matches={‘binary’:[‘regression’]}, would allow to provide regressions also if ‘binary’ was requested

  `internals`

    Known internal tags of the classifiers

  `items`

    Registered items

  `listing`()

    Listing (description + internals) of registered items

### Navigation

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