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# Classes and Interfaces in #JavaML - 214 results found.
NameDescriptionTypePackageFramework
AbstractBayesianClassifierAbstract Bayesian classifier (supervised).Classnet.sf.javaml.classification.bayesJavaML
AbstractBayesianClassifier_compactCompact Abstract Bayesian classifier (supervised).Classnet.sf.javaml.classification.bayesJavaML
AbstractClassifierClassnet.sf.javaml.classificationJavaML
AbstractCorrelationAbstract super class for all correlation measures.Classnet.sf.javaml.distanceJavaML
AbstractDistanceAbstract super class for all distance measures.Classnet.sf.javaml.distanceJavaML
AbstractFilterUmbrella class for filters that implements both the DatasetFilter interfaces.Classnet.sf.javaml.filterJavaML
AbstractInstanceClassnet.sf.javaml.coreJavaML
AbstractionClassnet.sf.javaml.distance.fastdtwJavaML
AbstractMeanClassifierAbstract classifier class that is the parent of all classifiers that require the mean of each class as training.Classnet.sf.javaml.classificationJavaML
AbstractSimilarityAbstract super class for all similarity measures.Classnet.sf.javaml.distanceJavaML
ActiveSetsOptimization problem with only bounds constraints in multi-dimensions.Classnet.sf.javaml.utilsJavaML
AICScoreClassnet.sf.javaml.clustering.evaluationJavaML
AngularDistanceClassnet.sf.javaml.distanceJavaML
AQBCThis class implements the Adaptive Quality-based Clustering Algorithm, based on the implementation in MATLAB by De Smet et al.Classnet.sf.javaml.clusteringJavaML
ARFFHandlerProvides method to load data from ARFF formatted files.Classnet.sf.javaml.tools.dataJavaML
ArraysClassnet.sf.javaml.distance.fastdtw.utilJavaML
ArrayUtilsClassnet.sf.javaml.utilsJavaML
BaggingBagging meta learner.Classnet.sf.javaml.classification.metaJavaML
BandClassnet.sf.javaml.distance.fastdtwJavaML
BICScoreClassnet.sf.javaml.clustering.evaluationJavaML
CachedDistanceThis class implements a wrapper around other distance measure to cache previously calculated distances.Classnet.sf.javaml.distanceJavaML
CeilValueFilterFilter to replace all values with their ceiled equivalent.Classnet.sf.javaml.filter.instanceJavaML
ChebychevDistanceClassnet.sf.javaml.distanceJavaML
CIndexClassnet.sf.javaml.clustering.evaluationJavaML
ClassCounterData structure used for Bayesian networksAuthor:Lieven Baeyens, Thomas Abeel (thomas@abeel.Classnet.sf.javaml.classification.bayesJavaML
ClassCounter_compactData structure used for Entropy based algorithmsAuthor:Lieven Baeyens, Thomas Abeel (thomas@abeel.Classnet.sf.javaml.classification.bayesJavaML
ClassifierInterface for all classifiers.Interfacenet.sf.javaml.classificationJavaML
ClassRemoveFilterRemoves all instances from a data set that have a specific class valueVersion:0.Classnet.sf.javaml.filterJavaML
ClassReplaceFilterReplaces a certain class value with another one.Classnet.sf.javaml.filterJavaML
ClassRetainFilterKeeps all instances from a data set that have a specific class valueVersion:0.Classnet.sf.javaml.filterJavaML
ClustererA common interface for all clustering techniques.Interfacenet.sf.javaml.clusteringJavaML
ClusterEvaluationThis interface provides a frame for all measure that can be used to evaluate the quality of a clusterer.Interfacenet.sf.javaml.clustering.evaluationJavaML
CobwebClass implementing the Cobweb and Classit clustering algorithms.Classnet.sf.javaml.clusteringJavaML
ColMajorCellClassnet.sf.javaml.distance.fastdtw.matrixJavaML
ComplexClassnet.sf.javaml.coreJavaML
ConsistencyIndexConsistency index for a pair of subsets.Classnet.sf.javaml.distanceJavaML
ContingencyTablesClass implementing some statistical routines for contingency tables.Classnet.sf.javaml.utilsJavaML
CosineDistanceThis similarity based distance measure actually measures the angle between The value returned lies in the interval [0,1].Classnet.sf.javaml.distanceJavaML
CosineSimilarityThis similarity based distance measure actually measures the angle between The value returned lies in the interval [0,1].Classnet.sf.javaml.distanceJavaML
CrossValidationClassnet.sf.javaml.classification.evaluationJavaML
DatasetInterface for a data set.Interfacenet.sf.javaml.coreJavaML
DatasetFilterThe interface for filters that can be applied on an When applying a filter to a data set it may modify the instances in theInterfacenet.sf.javaml.filterJavaML
DatasetToolsThis class provides utility methods on data sets.Classnet.sf.javaml.toolsJavaML
DefaultDatasetProvides a standard data set implementation.Classnet.sf.javaml.coreJavaML
DenseInstance double array that provides a value for each attribute index.Classnet.sf.javaml.coreJavaML
DensityBasedSpatialClusteringProvides the density-based-spatial-scanning clustering algorithm.Classnet.sf.javaml.clusteringJavaML
DistanceMeasureA distance measure is an algorithm to calculate the distance, similarity or correlation between two instances.Interfacenet.sf.javaml.distanceJavaML
DoubleFormatDoubleFormat formats double numbers into a specified digit format.Classnet.sf.javaml.clustering.mclJavaML
DTWClassnet.sf.javaml.distance.fastdtw.dtwJavaML
DTWSimilarityA similarity measure based on "Dynamic Time Warping".Classnet.sf.javaml.distance.dtwJavaML
EqualWidthBinningA filter that discretizes a range of numeric attributes in the data set into nominal attributes.Classnet.sf.javaml.filter.discretizeJavaML
EuclideanDistanceThis class implements the Euclidean distance.Classnet.sf.javaml.distanceJavaML
EvaluateDatasetTests a classifier on a data setAuthor:Thomas Abeel (thomas@abeel.Classnet.sf.javaml.classification.evaluationJavaML
ExpandedResWindowClassnet.sf.javaml.distance.fastdtw.dtwJavaML
ExpDoubleExpDouble represents a double-precision number by a mantissa, a decimal exponent and the number of digits in the mantissa, in order to allowClassnet.sf.javaml.clustering.mclJavaML
FarthestFirstCluster data using the FarthestFirst algorithm.Classnet.sf.javaml.clusteringJavaML
FastDTWClassnet.sf.javaml.distance.fastdtw.dtwJavaML
FastDTW Stan Salvador and Philip Chan, FastDTW: Toward Accurate Dynamic Time Warping in Linear Time and Space, KDD Workshop on Mining Temporal and SequentialClassnet.sf.javaml.distance.fastdtwJavaML
FeatureRankingInterface for algorithms that can generate an attribute ranking.Interfacenet.sf.javaml.featureselectionJavaML
FeatureScoringInterface for all attribute evaluation methods.Interfacenet.sf.javaml.featureselectionJavaML
FeatureSelectionTop-level interface for feature selection algorithms.Interfacenet.sf.javaml.featureselectionJavaML
FeatureSubsetSelectionInterface for all attribute subset selection algorithms.Interfacenet.sf.javaml.featureselectionJavaML
FileHandlerA class to load data sets from file and write them back.Classnet.sf.javaml.tools.dataJavaML
FloorValueFilterFilter to replace all values with their rounded equivalentAuthor:Thomas Abeel (thomas@abeel.Classnet.sf.javaml.filter.instanceJavaML
FourBinMinimalEntropyPartitioningA filter that discretizes a range of numeric attributes in the data set into 4 nominal attributes.Classnet.sf.javaml.filter.discretizeJavaML
FromWekaUtilsProvides utility methods to convert data from the WEKA format to the Java-MLVersion:0.Classnet.sf.javaml.tools.wekaJavaML
FullWindowClassnet.sf.javaml.distance.fastdtw.dtwJavaML
GainRatioClassnet.sf.javaml.featureselection.scoringJavaML
GammaClassnet.sf.javaml.clustering.evaluationJavaML
GammaFunctionClassnet.sf.javaml.utilsJavaML
GPlusClassnet.sf.javaml.clustering.evaluationJavaML
GreedyBackwardEliminationProvides an implementation of the backward greedy attribute subset elimination algorithm.Classnet.sf.javaml.featureselection.subsetJavaML
GreedyForwardSelectionProvides an implementation of the forward greedy attribute subset selection.Classnet.sf.javaml.featureselection.subsetJavaML
GridSearchHelps finding optimal parameters C and gamma for the LibSVM Support Vector Machine.ClasslibsvmJavaML
HybridCentroidSimilarityH_2 from the Zhao 2001 paperAuthor:Andreas De RijckeClassnet.sf.javaml.clustering.evaluationJavaML
HybridPairwiseSimilaritiesH_1 from the Zhao 2001 paperAuthor:Andreas De RijckeClassnet.sf.javaml.clustering.evaluationJavaML
InstanceThe interface for instances in a data set.Interfacenet.sf.javaml.coreJavaML
InstanceFilterThe interface for filters that can be applied on an Instance without the need for a referenceInterfacenet.sf.javaml.filterJavaML
InstanceNormalizeMidrangeThis filter will normalize all the attributes in an instance to a certain interval determined by a mid-range and a range.Classnet.sf.javaml.filter.normalizeJavaML
InstanceToolsProvides utility methods for manipulating, creating and modifying instances.Classnet.sf.javaml.toolsJavaML
IterativeFarthestFirstClassnet.sf.javaml.clusteringJavaML
IterativeKMeansThis class implements an extension of KMeans.Classnet.sf.javaml.clusteringJavaML
IterativeMultiKMeansThis class implements an extension of KMeans, combining Iterative- en MultiKMeans.Classnet.sf.javaml.clusteringJavaML
JaccardIndexDistanceJaccard index.Classnet.sf.javaml.distanceJavaML
JaccardIndexSimilarityJaccard index.Classnet.sf.javaml.distanceJavaML
KDependentBayesClassifierClassnet.sf.javaml.classification.bayesJavaML
KDTreeKDTree is a class supporting KD-tree insertion, deletion, equality search, range search, and nearest neighbor(s) using double-precision floating-pointClassnet.sf.javaml.core.kdtreeJavaML
KDtreeKNN KDtree support.Classnet.sf.javaml.classificationJavaML
KMeans J.Classnet.sf.javaml.clusteringJavaML
KMedoids algorithm that is very much like k-means.Classnet.sf.javaml.clusteringJavaML
KNearestNeighborsClassnet.sf.javaml.classificationJavaML
KNearestNeighborsReplaces the missing value with the average of the values of its nearest This technique does not guarantee that all missing will be replaced.Classnet.sf.javaml.filter.missingvalueJavaML
KullbackLeiblerDivergenceFeature scoring algorithm based on Kullback-Leibler divergence of the value distributions of features.Classnet.sf.javaml.featureselection.scoringJavaML
LibSVMWrapper for the libSVM library by Chih-Chung Chang and Chih-Jen Lin.ClasslibsvmJavaML
LinearKernelClassnet.sf.javaml.distanceJavaML
LinearRankingEnsembleProvides a linear aggregation feature selection ensemble as described in Saeys, Y.Classnet.sf.javaml.featureselection.ensembleJavaML
LinearWindowClassnet.sf.javaml.distance.fastdtw.dtwJavaML
ListToolsClassnet.sf.javaml.toolsJavaML
LogLikelihoodFunctionClassnet.sf.javaml.utilsJavaML
MahalanobisDistanceClassnet.sf.javaml.distanceJavaML
ManhattanDistanceThe Manhattan distance is the sum of the (absolute) differences of their coordinates.Classnet.sf.javaml.distanceJavaML
MarkovClusteringMarkovClustering implements the Markov clustering (MCL) algorithm for graphs, using a HashMap-based sparse representation of a Markov matrix, i.Classnet.sf.javaml.clustering.mclJavaML
MathUtilsA class that provides some utility math methods.Classnet.sf.javaml.utilsJavaML
MatrixClassnet.sf.javaml.matrixJavaML
MaxProductSimilaritySpecialized similarity that takes the maximum product of two feature values.Classnet.sf.javaml.distanceJavaML
MCLClassnet.sf.javaml.clustering.mclJavaML
MeanFeatureVotingClassifierThis classifier calculates the mean for each class.Classnet.sf.javaml.classificationJavaML
MinkowskiDistanceClassnet.sf.javaml.distanceJavaML
MinMaxCutG_1 from the Zhao 2001 paperAuthor:Andreas De RijckeClassnet.sf.javaml.clustering.evaluationJavaML
MissingClassFilterFilters all instances from a data set that have their class value not setVersion:0.Classnet.sf.javaml.filterJavaML
MultiKMeansThis class implements an extension of KMeans (SKM).Classnet.sf.javaml.clusteringJavaML
NaiveBayesClassifierClassnet.sf.javaml.classification.bayesJavaML
NearestMeanClassifierNearest mean classifier.Classnet.sf.javaml.classificationJavaML
NormalizedEuclideanDistanceA normalized version of the Euclidean distance.Classnet.sf.javaml.distanceJavaML
NormalizedEuclideanSimilarityClassnet.sf.javaml.distanceJavaML
NormalizeMeanThis filter will normalize the data set with mean 0 and standard deviation 1 The normalization will be done on the attributes, so each attribute will haveClassnet.sf.javaml.filter.normalizeJavaML
NormalizeMeanIQR135This filter will normalize the data set with mean 0 and standard deviation 1 The normalization will be done on the attributes, so each attribute will haveClassnet.sf.javaml.filter.normalizeJavaML
NormalizeMidrangeThis filter will normalize the data set with a certain mid-range and a certain range for each attribute.Classnet.sf.javaml.filter.normalizeJavaML
NormDistanceThe norm distance or This class implements the Norm distance.Classnet.sf.javaml.distanceJavaML
PAAClassnet.sf.javaml.distance.fastdtw.timeseriesJavaML
ParallelogramWindowClassnet.sf.javaml.distance.fastdtw.dtwJavaML
PearsonCorrelationCoefficientCalculates the Pearson Correlation Coeffient between two vectors.Classnet.sf.javaml.distanceJavaML
PerformanceMeasureClass implementing several performance measures commonly used for classification algorithms.Classnet.sf.javaml.classification.evaluationJavaML
PointBiserialClassnet.sf.javaml.clustering.evaluationJavaML
PolynomialPolynomial functions.Classnet.sf.javaml.utilsJavaML
PolynomialKernelClassnet.sf.javaml.distanceJavaML
RandomForestClassnet.sf.javaml.classification.treeJavaML
RandomForestAttributeEvaluationRandom Forest based attribute evaluation.Classnet.sf.javaml.featureselection.scoringJavaML
RandomTreeSimple and fast implementation of the RandomTree classifier.Classnet.sf.javaml.classification.treeJavaML
RankingFromScoringCreates an attribute ranking from an attribute evaluation technique.Classnet.sf.javaml.featureselection.rankingJavaML
RBFKernelThe kernel method for measuring similarities between instances.Classnet.sf.javaml.distanceJavaML
RBFKernelDistanceClassnet.sf.javaml.distanceJavaML
RecursiveFeatureEliminationSVM Starting with the full feature set, attributes are ranked according to the weights they get in a linear SVM.Classnet.sf.javaml.featureselection.rankingJavaML
RecursiveMinimalEntropyPartitioningA filter that discretizes a range of numeric attributes in the data set into nominal attributes.Classnet.sf.javaml.filter.discretizeJavaML
RELIEF This implementation is extended to include more neighbors in calculating the weights of the features.Classnet.sf.javaml.featureselection.scoringJavaML
RemoveAttributesClassnet.sf.javaml.filterJavaML
RemoveMissingValueRemoves all instances that have missing values.Classnet.sf.javaml.filter.missingvalueJavaML
ReplaceValueFilterClassnet.sf.javaml.filter.instanceJavaML
ReplaceWithValueReplaces all Double.Classnet.sf.javaml.filter.missingvalueJavaML
RetainAttributesFilter to retain a set of wanted attributes and remove all othersAuthor:Thomas Abeel (thomas@abeel.Classnet.sf.javaml.filterJavaML
RoundValueFilterFilter to replace all values with their rounded equivalentAuthor:Thomas Abeel (thomas@abeel.Classnet.sf.javaml.filter.instanceJavaML
SamplingClassnet.sf.javaml.samplingJavaML
SamplingMethodDefines sampling methods to select a subset of a set integers.Classnet.sf.javaml.samplingJavaML
SearchWindowClassnet.sf.javaml.distance.fastdtw.dtwJavaML
SelfOptimizingLinearLibSVMA svm variant the optimizes the C-paramater by itself.ClasslibsvmJavaML
SerialClass with utility methods for serialization.Classnet.sf.javaml.toolsJavaML
SetToolsClassnet.sf.javaml.toolsJavaML
SimpleBaggingBootstrap aggregating (Bagging) meta learner.Classnet.sf.javaml.classification.metaJavaML
SineWaveClassnet.sf.javaml.distance.fastdtw.timeseriesJavaML
SOMClassifier based on the Self-organized map clustering.Classnet.sf.javaml.classificationJavaML
SOMAn implementation of the Self Organizing Maps algorithm as proposed by This implementation is derived from the Bachelor thesis of Tomi SuuronenClassnet.sf.javaml.clusteringJavaML
SparseInstance indices to values.Classnet.sf.javaml.coreJavaML
SparseMatrixSparseMatrix is a sparse matrix with row-major format.Classnet.sf.javaml.clustering.mclJavaML
SparseVectorSparseVector represents a sparse vector.Classnet.sf.javaml.clustering.mclJavaML
SpearmanFootruleDistanceClassnet.sf.javaml.distanceJavaML
SpearmanRankCorrelationCalculates the Spearman rank correlation of two instances.Classnet.sf.javaml.distanceJavaML
SpecialFunctionsClass implementing some mathematical functions.Classnet.sf.javaml.utilsJavaML
StatisticsClass implementing some distributions, tests, etc.Classnet.sf.javaml.utilsJavaML
StreamHandlerClassnet.sf.javaml.tools.dataJavaML
SumOfAveragePairwiseSimilaritiesI_1 from the Zhao 2001 paperAuthor:Andreas De RijckeClassnet.sf.javaml.clustering.evaluationJavaML
SumOfCentroidSimilaritiesTODO uitleg I_2 from Zhao 2001Author:Andreas De RijckeClassnet.sf.javaml.clustering.evaluationJavaML
SumOfSquaredErrorsI_3 from the Zhao 2001 paperAuthor:Andreas De RijckeClassnet.sf.javaml.clustering.evaluationJavaML
SymmetricalUncertaintyClassnet.sf.javaml.featureselection.scoringJavaML
TauClassnet.sf.javaml.clustering.evaluationJavaML
ThreeBinMinimalEntropyPartitioningA filter that discretizes a range of numeric attributes in the data set into 3 nominal attributes.Classnet.sf.javaml.filter.discretizeJavaML
TimeSeriesClassnet.sf.javaml.distance.fastdtw.timeseriesJavaML
TimeSeriesPointClassnet.sf.javaml.distance.fastdtw.timeseriesJavaML
TimeWarpInfoClassnet.sf.javaml.distance.fastdtw.dtwJavaML
ToWekaUtilsProvides utility methods to convert data to the WEKA format.Classnet.sf.javaml.tools.wekaJavaML
TraceScatterMatrixE_1 from the Zhao 2001 paper Distance measure has to beClassnet.sf.javaml.clustering.evaluationJavaML
TrainingRequiredExceptionIndicates that the algorithm that throws this exception should have been trained prior to point the exception was thrown.Classnet.sf.javaml.core.exceptionJavaML
Tutorial2BinMinimalEntropyPartitioningTutorial Two Bin Minimal Entropy PartitioningAuthor:Lieven Baeyens, Thomas Abeel (thomas@abeel.Classtutorials.filterJavaML
Tutorial3BinMinimalEntropyPartitioningTutorial Three Bin Minimal Entropy PartitioningAuthor:Lieven Baeyens, Thomas Abeel (thomas@abeel.Classtutorials.filterJavaML
Tutorial4BinMinimalEntropyPartitioningTutorial Four Bin Minimal Entropy PartitioningAuthor:Lieven Baeyens, Thomas Abeel (thomas@abeel.Classtutorials.filterJavaML
TutorialARFFLoaderDemonstrates how you can load data from an ARFF formatted file.Classtutorials.toolsJavaML
TutorialClusterEvaluationShows how to use the different cluster evaluation measure that are implemented in Java-ML.Classtutorials.clusteringJavaML
TutorialCrossValidationThis tutorial shows how you can do cross-validation with Java-MLAuthor:Thomas Abeel (thomas@abeel.Classtutorials.classificationJavaML
TutorialCVSameFoldsThis tutorial shows how you can do multiple cross-validations with the sameAuthor:Thomas Abeel (thomas@abeel.Classtutorials.classificationJavaML
TutorialDataClasstutorialsJavaML
TutorialDataLoaderThis tutorial shows how to load data from a local file.Classtutorials.toolsJavaML
TutorialDatasetThis tutorial show how to create a Dataset from a collection of instances.Classtutorials.coreJavaML
TutorialDenseInstanceThis tutorial shows the very first step in using Java-ML.Classtutorials.coreJavaML
TutorialEnsembleFeatureSelectionTutorial to illustrate ensemble feature selection.Classtutorials.featureselectionJavaML
TutorialEvaluateDatasetThis tutorial show how to use the EvaluateDataset class to test the performance of a classifier on a data set.Classtutorials.classificationJavaML
TutorialFeatureRankingClasstutorials.featureselectionJavaML
TutorialFeatureScoringClasstutorials.featureselectionJavaML
TutorialFeatureSubsetSelectionShows the basic steps to create use a feature subset selection algorithm.Classtutorials.featureselectionJavaML
TutorialKDependentBayesTutorial for K Dependent Bayes classifierAuthor:Lieven Baeyens, Thomas Abeel (thomas@abeel.Classtutorials.classificationJavaML
TutorialKDtreeKNNThis tutorial show how to use a the k-nearest neighbors classifier.Classtutorials.classificationJavaML
TutorialKMeansThis tutorial shows how to use a clustering algorithm to cluster a data set.Classtutorials.clusteringJavaML
TutorialKNNThis tutorial show how to use a the k-nearest neighbors classifier.Classtutorials.classificationJavaML
TutorialLibSVMThis tutorial show how to use a the LibSVM classifier.Classtutorials.classificationJavaML
TutorialNaiveBayesTutorial for Naive Bayes classifierAuthor:Lieven Baeyens, Thomas Abeel (thomas@abeel.Classtutorials.classificationJavaML
TutorialRandomForestTutorial for the random forest classifier.Classtutorials.classificationJavaML
TutorialRecursiveMinimalEntropyPartitioningTutorial Recursive Minimal Entropy PartitioningAuthor:Lieven Baeyens, Thomas Abeel (thomas@abeel.Classtutorials.filterJavaML
TutorialSamplingSample program illustrating how to use sampling.Classtutorials.toolsJavaML
TutorialSelfOptimizingLibSVMThis tutorial show how to use a the LibSVM classifier.Classtutorials.classificationJavaML
TutorialSparseInstanceShows how to create a SparseInstance.Classtutorials.coreJavaML
TutorialStoreDataDemonstrates how you can store data to a file.Classtutorials.toolsJavaML
TutorialWekaAttributeSelectionTutorial how to use the Bridge to WEKA AS Evaluation , AS Search and Evaluator algorithms in Java-MLClasstutorials.featureselectionJavaML
TutorialWekaClassifierTutorial how to use a Weka classifier in Java-ML.Classtutorials.toolsJavaML
TutorialWekaClustererTutorial how to use a Weka classifier in Java-ML.Classtutorials.toolsJavaML
TwoBinMinimalEntropyPartitioningA filter that discretizes a range of numeric attributes in the data set into 2 nominal attributes.Classnet.sf.javaml.filter.discretizeJavaML
TypeConversionsClassnet.sf.javaml.distance.fastdtw.langJavaML
UnsetClassFilterFilter to remove class information from a data set or instance.Classnet.sf.javaml.filterJavaML
VectorsStatic vector manipulation routines for Matlab porting and other numeric operations.Classnet.sf.javaml.clustering.mclJavaML
WarpPathClassnet.sf.javaml.distance.fastdtw.dtwJavaML
WarpPathWindowClassnet.sf.javaml.distance.fastdtw.dtwJavaML
WBClassnet.sf.javaml.clustering.evaluationJavaML
WekaAttributeSelectionClassnet.sf.javaml.tools.wekaJavaML
WekaClassifierClassnet.sf.javaml.tools.wekaJavaML
WekaClustererProvides a bridge between Java-ML and the clustering algorithms in WEKA.Classnet.sf.javaml.tools.wekaJavaML
WekaExceptionThis exception should be thrown when something went wrong with calls to theVersion:0.Classnet.sf.javaml.tools.wekaJavaML
ZeroRZeroR classifier implementation.Classnet.sf.javaml.classificationJavaML