Serialized Form

Class marf.Classification.ClassificationException implements Serializable

Class marf.FeatureExtraction.FeatureExtractionException implements Serializable

Class marf.util.InvalidSampleFormatException implements Serializable

Class marf.util.MARFException implements Serializable

Serialized Fields

strMessage

java.lang.String strMessage

Error message container

Class marf.util.NotImplementedException implements Serializable

Class marf.Preprocessing.PreprocessingException implements Serializable

Class marf.Classification.RandomClassification.RandomClassification implements Serializable

Serialized Fields

oIDs

java.util.Vector oIDs

Vector of integer IDs

Class marf.Storage.TrainingSet implements Serializable

Serialized Fields

iDumpMode

int iDumpMode

In which format dump TrainingSet data. Default DUMP_GZIP_BINARY

oTrainingSamples

java.util.Vector oTrainingSamples

A Vector of TrainingSamples

strTrainingSetFile

java.lang.String strTrainingSetFile

TrainingSet file name

iFeatureExtractionMethod

int iFeatureExtractionMethod

Which feature extraction method was used to determine this feature vector.

iPreprocessingMethod

int iPreprocessingMethod

Which preprocessing method was applied to the sample before this feature vector was extracted.

Class marf.Storage.TrainingSet.TrainingSample implements Serializable

Serialized Fields

this$0

TrainingSet this$0

iSubjectID

int iSubjectID

Which subject this feature vector is associated with.

adMeanVector

double[] adMeanVector

Array represinting mean vector describing the cluster.

iMeanCount

int iMeanCount

How many times mean was computed. Used in recomputation of it.

oFilenames

java.util.Vector oFilenames

A list of filenames that were used in training for this cluster. Used to avoid duplicate training on the same filename.