marf.Classification
Class ClassificationFactory

java.lang.Object
  marf.Classification.ClassificationFactory

public final class ClassificationFactory
extends java.lang.Object

Provides a factory to instantiate requested classification module(s).

$Id: ClassificationFactory.java,v 1.5 2007/12/31 00:17:04 mokhov Exp $

Since:

0.3.0.5

Version:

$Revision: 1.5 $

Author:

Serguei Mokhov

Method Summary

static IClassification	create(java.lang.Integer poClassificationMethod, IFeatureExtraction poFeatureExtraction) Instantiates a Classification module indicated by the first parameter with the 2nd parameter as an argument.
static IClassification	create(int piClassificationMethod, IFeatureExtraction poFeatureExtraction) Instantiates a Classification module indicated by the first parameter with the 2nd parameter as an argument.
static java.lang.String	getMARFSourceCodeRevision() Returns source code revision information.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

create

public static final IClassification create(java.lang.Integer poClassificationMethod,
                                           IFeatureExtraction poFeatureExtraction)
                                    throws ClassificationException

Instantiates a Classification module indicated by the first parameter with the 2nd parameter as an argument.

Parameters:

poClassificationMethod - the integer value corresponding to the desired classification module

poFeatureExtraction - passed as an argument to the classifier per framework requirement

Returns:

a reference to the instance of the created feature extraction module

Throws:

ClassificationException - if the indicated module is unknown or could not be loaded

See Also:

MARF.NEURAL_NETWORK, MARF.STOCHASTIC, MARF.MARKOV, MARF.EUCLIDEAN_DISTANCE, MARF.CHEBYSHEV_DISTANCE, MARF.MINKOWSKI_DISTANCE, MARF.MAHALANOBIS_DISTANCE, MARF.RANDOM_CLASSIFICATION, MARF.DIFF_DISTANCE, MARF.HAMMING_DISTANCE, MARF.COSINE_SIMILARITY_MEASURE, MARF.CLASSIFICATION_PLUGIN, MARF.ZIPFS_LAW, NeuralNetwork, Stochastic, Markov, ChebyshevDistance, EuclideanDistance, MinkowskiDistance, MahalanobisDistance, RandomClassification, DiffDistance, HammingDistance, CosineSimilarityMeasure, ZipfLaw

create

public static final IClassification create(int piClassificationMethod,
                                           IFeatureExtraction poFeatureExtraction)
                                    throws ClassificationException

Instantiates a Classification module indicated by the first parameter with the 2nd parameter as an argument.

Parameters:

piClassificationMethod - the integer value corresponding to the desired classification module

poFeatureExtraction - passed as an argument to the classifier per framework requirement

Returns:

a reference to the instance of the created feature extraction module

Throws:

ClassificationException - if the indicated module is unknown or could not be loaded

See Also:

MARF.NEURAL_NETWORK, MARF.STOCHASTIC, MARF.MARKOV, MARF.EUCLIDEAN_DISTANCE, MARF.CHEBYSHEV_DISTANCE, MARF.MINKOWSKI_DISTANCE, MARF.MAHALANOBIS_DISTANCE, MARF.RANDOM_CLASSIFICATION, MARF.DIFF_DISTANCE, MARF.HAMMING_DISTANCE, MARF.COSINE_SIMILARITY_MEASURE, MARF.CLASSIFICATION_PLUGIN, MARF.ZIPFS_LAW, NeuralNetwork, Stochastic, Markov, ChebyshevDistance, EuclideanDistance, MinkowskiDistance, MahalanobisDistance, RandomClassification, DiffDistance, HammingDistance, CosineSimilarityMeasure, ZipfLaw

getMARFSourceCodeRevision

public static java.lang.String getMARFSourceCodeRevision()

Returns source code revision information.

Returns:

revision string