mvpa2.clfs.meta.MaximalVote

class mvpa2.clfs.meta.MaximalVote(**kwargs)

Provides a decision using maximal vote rule

Notes

Available conditional attributes:

• estimates: Estimates keep counts across classifiers for each label/sample
• predictions+: Voted 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 instance of MaximalVote

Parameters:

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

descr : str

Description of the instance

Methods

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