mvpa2.clfs.meta.ClassifierCombiner

class mvpa2.clfs.meta.ClassifierCombiner(clf, variables=None)

Provides a decision using training a classifier on predictions/estimates

TODO: implement

Notes

Available conditional attributes:

• predictions+: Trained predictions

(Conditional attributes enabled by default suffixed with +)

Methods

reset()
train(clfs, dataset)	PredictionsCombiner might need to be trained :Parameters: clfs : list of Classifier List of classifiers to combine.

Initialize ClassifierCombiner

Parameters:

clf : Classifier

Classifier to train on the predictions

variables : list of str

List of conditional attributes stored in ‘combined’ classifiers, which to use as features for training this classifier

enable_ca : None or list of str

Names of the conditional attributes which should be enabled in addition to the default ones

disable_ca : None or list of str

Names of the conditional attributes which should be disabled

Methods

reset()
train(clfs, dataset)	PredictionsCombiner might need to be trained :Parameters: clfs : list of Classifier List of classifiers to combine.