Uses of Class
exceptions.TrainingException

Packages that use TrainingException
bin   
classifiers   
statistics   
 

Uses of TrainingException in bin
 

Methods in bin that throw TrainingException
static void Initializer.main(java.lang.String[] args)
           
 

Uses of TrainingException in classifiers
 

Methods in classifiers that throw TrainingException
 void Classifier.train(DataSet ds)
           
 void NaiveBayes.train(DataSet ds)
           
 void MixtureClassifier.train(DataSet ds)
           
 void MixtureClassifier.train(DataSet ds, int nd, int iters)
           
 

Uses of TrainingException in statistics
 

Methods in statistics that throw TrainingException
static MixtureDensity Initialization.gMeansClustering(java.util.List<Sample> data, double alpha, int maxc, boolean diagonalCovariances)
          Perform a Gaussian-means (G-means) clustering on the given data set.
static MixtureDensity Initialization.hierarchicalGaussianClustering(java.util.List<Sample> data, int maxc, boolean diagonalCovariances, Initialization.DensityRankingMethod rank)
          Perform a hierarchical Gaussian clustering: Beginning with only one density, always split the cluster with highest variance in two parts, finding the new means by following the strongest eigen vector.
static MixtureDensity Initialization.kMeansClustering(java.util.List<Sample> data, int nd, boolean diagonalCovariances)
          Perform a simple k-means clustering on the data.