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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package measures :: Module splitmeasure :: Class SplitFeaturewiseMeasure
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Class SplitFeaturewiseMeasure

source code

This is a FeaturewiseDatasetMeasure that uses another FeaturewiseDatasetMeasure and runs it multiple times on differents splits of a Dataset.

When called with a Dataset it returns the mean sensitivity maps of all data splits.

Additonally this class supports the State interface. Several postprocessing functions can be specififed to the constructor. The results of the functions specified in the postproc dictionary will be available via their respective keywords.

Nested Classes [hide private]

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods [hide private]
 
__init__(self, sensana, splitter=NoneSplitter, combiner=FirstAxisMean, **kwargs)
Cheap initialization.		 source code
 
_call(self, dataset)
Compute sensitivity maps for all dataset splits and run the postprocessing functions afterward (if any).		 source code

Inherited from base.FeaturewiseDatasetMeasure: __repr__, combiner

Inherited from base.FeaturewiseDatasetMeasure (private): _postcall

Inherited from base.DatasetMeasure: __call__, null_dist, transformer, untrain

Inherited from misc.state.ClassWithCollections: __getattribute__, __new__, __setattr__, __str__, reset

Inherited from object: __delattr__, __format__, __hash__, __reduce__, __reduce_ex__, __sizeof__, __subclasshook__

Class Variables [hide private]

Inherited from base.FeaturewiseDatasetMeasure: base_sensitivities

Inherited from base.DatasetMeasure: __doc__, null_prob, null_t, raw_results

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Instance Variables [hide private]
  __sensana
Sensitivity analyzer used to compute the sensitivity maps.
  __splitter
Splitter instance used to split the datasets.
  __combiner
Function to combine sensitivities to serve a result of __call__()
  maps
Store the maps across splits
Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__init__(self, sensana, splitter=NoneSplitter, combiner=FirstAxisMean, **kwargs)
(Constructor)

source code 
Cheap initialization.
Parameters:
  • sensana (FeaturewiseDatasetMeasure) - that shall be run on the Dataset splits.
  • splitter (Splitter) - used to split the Dataset. By convention the first dataset in the tuple returned by the splitter on each iteration is used to compute the sensitivity map.
  • combiner - This functor will be called on an array of sensitivity maps and the result will be returned by __call__(). The result of a combiner must be an 1d ndarray.
Overrides: object.__init__

_call(self, dataset)

source code 

Compute sensitivity maps for all dataset splits and run the postprocessing functions afterward (if any).

Returns a list of all computed sensitivity maps. Postprocessing results are available via the objects State interface.

Overrides: base.DatasetMeasure._call

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PyMVPA: Python MultiVariate Pattern Analysis
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