Serialized Form

Class marf.gui.util.BorderPanel extends javax.swing.JPanel implements Serializable

Class marf.Classification.ClassificationException extends MARFException implements Serializable

Class marf.Storage.Cluster extends TrainingSample implements Serializable

Serialized Fields

iMeanCount

int iMeanCount

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

Class marf.FeatureExtraction.FeatureExtractionException extends MARFException implements Serializable

Class marf.Storage.FeatureSet extends java.lang.Object implements Serializable

Serialized Fields

oFeatureVectors

java.util.Vector oFeatureVectors

A Vector of TrainingSamples

Class marf.util.InvalidSampleFormatException extends MARFException implements Serializable

Class marf.util.MARFException extends java.lang.Exception implements Serializable

Serialized Fields

strMessage

java.lang.String strMessage

Error message container

Class marf.util.NotImplementedException extends java.lang.RuntimeException implements Serializable

Class marf.Preprocessing.PreprocessingException extends MARFException implements Serializable

Class marf.Classification.RandomClassification.RandomClassification extends Classification implements Serializable

Serialized Fields

oIDs

java.util.Vector oIDs

Vector of integer IDs

Class marf.Storage.StorageException extends MARFException implements Serializable

Class marf.Storage.TrainingSample extends java.lang.Object implements Serializable

Serialized Fields

iSubjectID

int iSubjectID

Which subject this feature vector is associated with.

adDataVector

double[] adDataVector

Array represinting either a feature or mean vector describing the cluster.

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.

Class marf.Storage.TrainingSet extends java.lang.Object implements Serializable

Serialized Fields

oClusters

java.util.Vector oClusters

A Vector of Clusters

oFeatureSet

FeatureSet oFeatureSet

Feature Set as opposed to the cluster

strTrainingSetFile

java.lang.String strTrainingSetFile

TrainingSet file name. Default is training.set

iPreprocessingMethod

int iPreprocessingMethod

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

iFeatureExtractionMethod

int iFeatureExtractionMethod

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