Provides a decision using training a classifier on predictions/estimates
TODO: implement
Notes
Available conditional attributes:
(Conditional attributes enabled by default suffixed with +)
Methods
reset() | |
train(clfs, dataset) | PredictionsCombiner might need to be trained |
Initialize ClassifierCombiner
Parameters : | clf : Classifier
variables : list of str
enable_ca : None or list of str
disable_ca : None or list of str
|
---|
Methods
reset() | |
train(clfs, dataset) | PredictionsCombiner might need to be trained |