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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package measures :: Module base :: Class SplitFeaturewiseDatasetMeasure
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Class SplitFeaturewiseDatasetMeasure

source code

Compute measures across splits for a specific analyzer
Nested Classes [hide private]

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods [hide private]
 
__init__(self, splitter, analyzer, insplit_index=0, combiner=None, **kwargs)
Initialize SplitFeaturewiseDatasetMeasure		 source code
 
untrain(self)
Untrain SplitFeaturewiseDatasetMeasure		 source code
 
_call(self, dataset)
Computes a per-feature-measure on a given Dataset.		 source code

Inherited from FeaturewiseDatasetMeasure: __repr__, combiner

Inherited from FeaturewiseDatasetMeasure (private): _postcall

Inherited from DatasetMeasure: __call__, null_dist, transformer

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]
  sensitivities = StateVariable(enabled= False, doc= "Sensitivit...
  splits = StateVariable(enabled= False, doc= """Store the actua...

Inherited from FeaturewiseDatasetMeasure: base_sensitivities

Inherited from DatasetMeasure: __doc__, null_prob, null_t, raw_results

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Instance Variables [hide private]
  __analyzer
Analyzer to use per split
  __combiner
Which functor to use to combine all sensitivities
  __splitter
Splitter to be used on the dataset
Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__init__(self, splitter, analyzer, insplit_index=0, combiner=None, **kwargs)
(Constructor)

source code 
Initialize SplitFeaturewiseDatasetMeasure
Parameters:
  • splitter (Splitter) - Splitter to use to split the dataset
  • analyzer (DatasetMeasure) - Measure to be used. Could be analyzer as well (XXX)
  • insplit_index (int) - splitter generates tuples of dataset on each iteration (usually 0th for training, 1st for testing). On what split index in that tuple to operate.
Overrides: object.__init__

untrain(self)

source code 
Untrain SplitFeaturewiseDatasetMeasure
Overrides: DatasetMeasure.untrain

_call(self, dataset)

source code 

Computes a per-feature-measure on a given Dataset.

Behaves like a DatasetMeasure, but computes and returns a 1d ndarray with one value per feature.

Overrides: DatasetMeasure._call
(inherited documentation)

Class Variable Details [hide private]

sensitivities

Value:
StateVariable(enabled= False, doc= "Sensitivities produced for each sp\
lit")

splits

Value:
StateVariable(enabled= False, doc= """Store the actual splits of the d\
ata. Can be memory expensive""")

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PyMVPA: Python MultiVariate Pattern Analysis
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