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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. |
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