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Package mvpa :: Package measures :: Module corrcoef :: Class CorrCoef

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Class CorrCoef

FeaturewiseDatasetMeasure that performs correlation with labels

XXX: Explain me!

Nested Classes

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods

__init__(self, pvalue=False, attr='labels', **kwargs)
Initialize

source code

_call(self, dataset)
Computes featurewise scores.

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

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

Properties

Inherited from object: __class__

Method Details

init(self, pvalue=False, attr='labels', **kwargs)
(Constructor)

Initialize

Parameters:

pvalue (bool) - Either to report p-value of pearsons correlation coefficient instead of pure correlation coefficient
attr (basestring) - What attribut to correlate with

Overrides: object.__init__

_call(self, dataset)

Computes featurewise scores.

Overrides: base.DatasetMeasure._call

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