mvpa2.clfs.meta.PredictionsCombiner

class mvpa2.clfs.meta.PredictionsCombiner(descr=None, **kwargs)

Base class for combining decisions of multiple classifiers

Attributes

descr

Description of the object if any

Methods

__call__(clfs, dataset)	Call function
reset()
train(clfs, dataset)	PredictionsCombiner might need to be trained

Initialize ClassWithCollections object

Parameters:

descr : str

Description of the instance

Attributes

descr

Description of the object if any

Methods

__call__(clfs, dataset)	Call function
reset()
train(clfs, dataset)	PredictionsCombiner might need to be trained

train(clfs, dataset)

PredictionsCombiner might need to be trained

Parameters:

clfs : list of Classifier

List of classifiers to combine. Has to be classifiers (not pure predictions), since combiner might use some other conditional attributes (value’s) instead of pure prediction’s

dataset : Dataset

training data in this case