Uses of Class
hhreco.classification.TrainingSet

Packages that use TrainingSet
hhreco.classification This package provides data structures such as feature sets, training sets, as well as a classification framework for facilitating pattern classification tasks. 
 

Uses of TrainingSet in hhreco.classification
 

Methods in hhreco.classification that return TrainingSet
 TrainingSet SVMClassifier.scale(TrainingSet tset, int min, int max)
          Scale the feature values in the training set to be in the range of [min,max].
 

Methods in hhreco.classification with parameters of type TrainingSet
 void TrainableClassifier.train(TrainingSet s, int numFeatures)
          Train the classifier with a given training set.
 void SVMClassifier.train(TrainingSet tset, int numFeatures)
          Convert TraininSet examples into libsvm data structure, build a svm_problem object for the training set, and call svm_train to compute the svm model.
 TrainingSet SVMClassifier.scale(TrainingSet tset, int min, int max)
          Scale the feature values in the training set to be in the range of [min,max].
 void MMDClassifier.train(TrainingSet s, int numFeatures)
          Train the classifier with the given training set.
 void KNNClassifier.train(TrainingSet s, int numFeatures)
          Train the classifier with a given training set.