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Package mvpa :: Package clfs :: Module meta :: Class ClassifierCombiner

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Class ClassifierCombiner

Provides a decision using training a classifier on predictions/values

TODO: implement

Nested Classes

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods

__init__(self, clf, variables=None)
Initialize ClassifierCombiner

source code

untrain(self)
It might be needed to untrain used classifier

source code

__call__(self, clfs, dataset)
Call function

source code

Inherited from PredictionsCombiner: train

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

Inherited from object: __delattr__, __format__, __hash__, __reduce__, __reduce_ex__, __sizeof__, __subclasshook__

Class Variables

predictions = StateVariable(enabled= True, doc= "Trained predi...

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Instance Variables

__clf
Classifier to train on variables states of provided classifiers

__variables
What state variables of the classifiers to use

Properties

Inherited from object: __class__

Method Details

init(self, clf, variables=None)
(Constructor)

Initialize ClassifierCombiner

Parameters:

clf (Classifier) - Classifier to train on the predictions
variables (list of basestring) - List of state variables stored in 'combined' classifiers, which to use as features for training this classifier

Overrides: object.__init__

call(self, clfs, dataset)
(Call operator)

Call function

Parameters:

clfs - List of classifiers to combine. Has to be classifiers (not pure predictions), since combiner might use some other state variables (value's) instead of pure prediction's

Overrides: PredictionsCombiner.__call__

Class Variable Details

predictions

Value:

StateVariable(enabled= True, doc= "Trained predictions")

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