Home

Trees

Indices

Help

Package mvpa :: Package clfs :: Package sg :: Module sens :: Class LinearSVMWeights

[hide private]

[frames] | no frames]

Class LinearSVMWeights

source code

Sensitivity that reports the weights of a linear SVM trained on a given Dataset.

Nested Classes

[hide private]

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods

[hide private]

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

source code

__sg_helper(self, svm)
Helper function to compute sensitivity for a single given SVM

source code

_call(self, dataset)
Computes a per-feature-measure on a given Dataset.

source code

Inherited from measures.base.Sensitivity: __call__, __repr__, feature_ids, untrain

Inherited from measures.base.Sensitivity (private): _setClassifier

Inherited from measures.base.FeaturewiseDatasetMeasure: combiner

Inherited from measures.base.FeaturewiseDatasetMeasure (private): _postcall

Inherited from measures.base.DatasetMeasure: 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]

biases = StateVariable(enabled= True, doc= "Offsets of separat...

Inherited from measures.base.Sensitivity: clf

Inherited from measures.base.Sensitivity (private): _LEGAL_CLFS

Inherited from measures.base.FeaturewiseDatasetMeasure: base_sensitivities

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

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Instance Variables

[hide private]

Inherited from measures.base.Sensitivity (private): _force_training

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

init(self, clf, **kwargs)
(Constructor)

source code

Initialize the analyzer with the classifier it shall use.

Parameters:

clf, LinearSVM - classifier to use. Only classifiers sub-classed from LinearSVM may be used.

Overrides: object.__init__

_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: measures.base.DatasetMeasure._call: (inherited documentation)

Class Variable Details

[hide private]

biases

Value:

StateVariable(enabled= True, doc= "Offsets of separating hyperplanes")

Home

Trees

Indices

Help

Class LinearSVMWeights

__init__(self, clf, **kwargs) (Constructor)

_call(self, dataset)

biases

init(self, clf, **kwargs)
(Constructor)