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Package mvpa :: Package measures :: Module base :: Class Sensitivity

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Class Sensitivity

Nested Classes

Inherited from misc.state.Stateful: __metaclass__

Instance Methods

__init__(self, clf, force_training=True, **kwargs)
Initialize the analyzer with the classifier it shall use.

source code

__repr__(self)
repr(x)

source code

__call__(self, dataset)
Train classifier on dataset and then compute actual sensitivity. source code

_setClassifier(self, clf)

source code

Inherited from FeaturewiseDatasetMeasure (private): _call, _postcall

Inherited from DatasetMeasure: __str__

Inherited from misc.state.Stateful: __getattribute__, __setattr__, reset

Inherited from object: __delattr__, __hash__, __new__, __reduce__, __reduce_ex__

Class Variables

_collections_template = {'states': <mvpa.misc.state.StateColle...

Inherited from FeaturewiseDatasetMeasure: base_sensitivities

Inherited from DatasetMeasure: __doc__, null_prob, raw_result

Inherited from misc.state.Stateful (private): _initargs

Instance Variables

__clf
Classifier used to computed sensitivity

_force_training
Either to force it to train

Properties

clf

Inherited from misc.state.Stateful: descr

Inherited from object: __class__

Method Details

init(self, clf, force_training=True, **kwargs)
(Constructor)

Initialize the analyzer with the classifier it shall use.

Parameters:

clf (Classifier) - classifier to use. Only classifiers sub-classed from LinearSVM may be used.
force_training (Bool) - if classifier was already trained -- do not retrain

Overrides: object.__init__

repr(self)
(Representation operator)

repr(x)

Overrides: object.__repr__: (inherited documentation)

call(self, dataset)
(Call operator)

Train classifier on dataset and then compute actual sensitivity.

Overrides: DatasetMeasure.__call__

Class Variable Details

_collections_template

Value:

{'states': <mvpa.misc.state.StateCollection object at 0x873ad8c>}

Property Details

clf

Get Method:: unreachable(self)
Set Method:: _setClassifier(self, clf)

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