Aardvark.Base


AdaBoost

Adaptive boosting creates a strong binary classifier out of an ensemble of weak classifiers.

Static members

Static memberDescription
Train(...)
Signature: (items:'T [] * groundTruth:bool [] * getNextWeakClassifier:Func<float [],'T [],bool [],Func<'T,bool>> * iterations:int * onIteration:Func<Func<'T,bool>,bool> * stopIfWeakClassifierHasLessImportanceThan:float) -> Func<'T,bool>
Type parameters: 'T

Creates a strong binary classifier out of an ensemble of weak classifiers.

Fork me on GitHub