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Package mvpa :: Package clfs :: Module meta :: Class BinaryClassifier

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Class BinaryClassifier

source code

ProxyClassifier which maps set of two labels into +1 and -1

Nested Classes

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods

__init__(self, clf, poslabels, neglabels, **kwargs)
Initialize the instance

source code

__repr__(self, prefixes=[])

source code

_train(self, dataset)
Train BinaryClassifier

source code

_predict(self, data)
Predict the labels for a given data source code

Inherited from ProxyClassifier: getSensitivityAnalyzer, summary, untrain

Inherited from base.Classifier: __str__, clone, isTrained, predict, repredict, retrain, train, trained

Inherited from base.Classifier (private): _getFeatureIds, _postpredict, _posttrain, _prepredict, _pretrain, _regressionIsBogus, _setRetrainable

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

Inherited from object: __delattr__, __hash__, __reduce__, __reduce_ex__

Class Variables

Inherited from ProxyClassifier: clf

Inherited from base.Classifier: _DEV__doc__, feature_ids, predicting_time, predictions, regression, retrainable, trained_dataset, trained_labels, trained_nsamples, training_confusion, training_time, values

Inherited from base.Classifier (private): _clf_internals

Inherited from misc.state.ClassWithCollections: descr

Properties

Inherited from object: __class__

Method Details

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

Initialize the instance

Parameters:

clf (Classifier) - classifier to use
poslabels (list) - list of labels which are treated as +1 category
neglabels (list) - list of labels which are treated as -1 category

Overrides: ProxyClassifier.__init__

repr(self, prefixes=[])
(Representation operator)

Overrides: ProxyClassifier.__repr__

_train(self, dataset)

Train BinaryClassifier

Overrides: ProxyClassifier._train

_predict(self, data)

Predict the labels for a given data

Predicts using binary classifier and spits out list (for each sample) where with either poslabels or neglabels as the "label" for the sample. If there was just a single label within pos or neg labels then it would return not a list but just that single label.

Overrides: ProxyClassifier._predict

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