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B

B_ENTROPY. Static variable in interface weka.classifiers.kstar.KStarConstants
B_SPHERE. Static variable in interface weka.classifiers.kstar.KStarConstants
Blend setting modes
backQuoteChars(String). Static method in class weka.core.Utils
Converts carriage returns and new lines in a string into \r and \n.
Bagging class weka.classifiers.Bagging.
Class for bagging a classifier.
Bagging(). Constructor for class weka.classifiers.Bagging
BATCH_FINISHED. Static variable in class weka.gui.streams.InstanceEvent
Specifies that the batch of instances is finished
batchFilterFile(Filter, String[]). Static method in class weka.filters.Filter
Method for testing filters ability to process multiple batches.
batchFinished(). Method in class weka.filters.Filter
Signify that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.SpreadSubsampleFilter
Signify that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.AbstractTimeSeriesFilter
Signifies that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.StringToNominalFilter
Signifies that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.EmptyAttributeFilter
Signify that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.NormalizationFilter
Signify that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.SplitDatasetFilter
Signify that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.ResampleFilter
Signify that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.NominalToBinaryFilter
Signify that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.ReplaceMissingValuesFilter
Signify that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.AttributeSelectionFilter
Signify that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.RandomizeFilter
Signify that this batch of input to the filter is finished.
batchFinished(). Method in class weka.filters.DiscretizeFilter
Signifies that this batch of input to the filter is finished.
batchFinished(). Method in class weka.gui.streams.InstanceSavePanel
batchFinished(). Method in class weka.gui.streams.InstanceViewer
batchFinished(). Method in class weka.gui.streams.InstanceJoiner
Signify that this batch of input to the filter is finished.
batchFinished(). Method in class weka.gui.streams.InstanceTable
BestFirst class weka.attributeSelection.BestFirst.
Class for performing a best first search.
BestFirst.Link2 class weka.attributeSelection.BestFirst.Link2.
Class for a node in a linked list.
BestFirst.Link2(BestFirst, BitSet, double). Constructor for class weka.attributeSelection.BestFirst.Link2
BestFirst.LinkedList2 class weka.attributeSelection.BestFirst.LinkedList2.
Class for handling a linked list.
BestFirst.LinkedList2(BestFirst, int). Constructor for class weka.attributeSelection.BestFirst.LinkedList2
BestFirst(). Constructor for class weka.attributeSelection.BestFirst
Constructor
biasTipText(). Method in class weka.classifiers.VFI
Returns the tip text for this property
binarizeNumericAttributesTipText(). Method in class weka.attributeSelection.ChiSquaredAttributeEval
Returns the tip text for this property
binarizeNumericAttributesTipText(). Method in class weka.attributeSelection.InfoGainAttributeEval
Returns the tip text for this property
BinarySparseInstance class weka.core.BinarySparseInstance.
Class for storing a binary-data-only instance as a sparse vector.
BinarySparseInstance(double, double[]). Constructor for class weka.core.BinarySparseInstance
Constructor that generates a sparse instance from the given parameters.
BinarySparseInstance(double, int[], int). Constructor for class weka.core.BinarySparseInstance
Constructor that inititalizes instance variable with given values.
BinarySparseInstance(Instance). Constructor for class weka.core.BinarySparseInstance
Constructor that generates a sparse instance from the given instance.
BinarySparseInstance(int). Constructor for class weka.core.BinarySparseInstance
Constructor of an instance that sets weight to one, all values to 1, and the reference to the dataset to null.
BinarySparseInstance(SparseInstance). Constructor for class weka.core.BinarySparseInstance
Constructor that copies the info from the given instance.
BinC45ModelSelection class weka.classifiers.j48.BinC45ModelSelection.
Class for selecting a C4.5-like binary (!) split for a given dataset.
BinC45ModelSelection(int, Instances). Constructor for class weka.classifiers.j48.BinC45ModelSelection
Initializes the split selection method with the given parameters.
BinC45Split class weka.classifiers.j48.BinC45Split.
Class implementing a binary C4.5-like split on an attribute.
BinC45Split(int, int, double). Constructor for class weka.classifiers.j48.BinC45Split
Initializes the split model.
binomialStandardError(double, int). Static method in class weka.core.Statistics
Computes standard error for observed values of a binomial random variable.
binsTipText(). Method in class weka.filters.DiscretizeFilter
Returns the tip text for this property
blocker(boolean). Method in class weka.classifiers.neural.NeuralNetwork
A function used to stop the code that called buildclassifier from continuing on before the user has finished the decision tree.
boost(). Method in class weka.classifiers.adtree.ADTree
Performs a single boosting iteration, using two-class optimized method.
branchInstanceGoesDown(Instance). Method in class weka.classifiers.adtree.Splitter
Gets the index of the branch that an instance applies to.
branchInstanceGoesDown(Instance). Method in class weka.classifiers.adtree.TwoWayNominalSplit
Gets the index of the branch that an instance applies to.
branchInstanceGoesDown(Instance). Method in class weka.classifiers.adtree.TwoWayNumericSplit
Gets the index of the branch that an instance applies to.
buildAssociations(Instances). Method in class weka.associations.Associator
Generates an associator.
buildAssociations(Instances). Method in class weka.associations.Apriori
Method that generates all large itemsets with a minimum support, and from these all association rules with a minimum confidence.
buildClassifier(Instances). Method in class weka.classifiers.Classifier
Generates a classifier.
buildClassifier(Instances). Method in class weka.classifiers.MetaCost
Builds the model of the base learner.
buildClassifier(Instances). Method in class weka.classifiers.Prism
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.DecisionTable
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.DecisionStump
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.AdaBoostM1
Boosting method.
buildClassifier(Instances). Method in class weka.classifiers.ClassificationViaRegression
Builds the classifiers.
buildClassifier(Instances). Method in class weka.classifiers.AttributeSelectedClassifier
Build the classifier on the dimensionally reduced data.
buildClassifier(Instances). Method in class weka.classifiers.Stacking
Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.
buildClassifier(Instances). Method in class weka.classifiers.CVParameterSelection
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.OneR
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.Bagging
Bagging method.
buildClassifier(Instances). Method in class weka.classifiers.ThresholdSelector
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.KernelDensity
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.IBk
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.ZeroR
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.RegressionByDiscretization
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.IB1
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.LogitBoost
Boosting method.
buildClassifier(Instances). Method in class weka.classifiers.HyperPipes
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.Id3
Builds Id3 decision tree classifier.
buildClassifier(Instances). Method in class weka.classifiers.MultiClassClassifier
Builds the classifiers.
buildClassifier(Instances). Method in class weka.classifiers.MultiScheme
Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.
buildClassifier(Instances). Method in class weka.classifiers.UserClassifier
Call this function to build a decision tree for the training data provided.
buildClassifier(Instances). Method in class weka.classifiers.AdditiveRegression
Build the classifier on the supplied data
buildClassifier(Instances). Method in class weka.classifiers.CostSensitiveClassifier
Builds the model of the base learner.
buildClassifier(Instances). Method in class weka.classifiers.NaiveBayes
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.SMO
Method for building the classifier.
buildClassifier(Instances). Method in class weka.classifiers.Logistic
Builds the classifier
buildClassifier(Instances). Method in class weka.classifiers.LWR
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.VotedPerceptron
Builds the ensemble of perceptrons.
buildClassifier(Instances). Method in class weka.classifiers.NaiveBayesSimple
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.DistributionMetaClassifier
Builds the classifier.
buildClassifier(Instances). Method in class weka.classifiers.VFI
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.LinearRegression
Builds a regression model for the given data.
buildClassifier(Instances). Method in class weka.classifiers.FilteredClassifier
Build the classifier on the filtered data.
buildClassifier(Instances). Method in class weka.classifiers.adtree.ADTree
Builds a classifier for a set of instances.
buildClassifier(Instances). Method in class weka.classifiers.j48.ClassifierSplitModel
Builds the classifier split model for the given set of instances.
buildClassifier(Instances). Method in class weka.classifiers.j48.J48
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.j48.ClassifierTree
Method for building a classifier tree.
buildClassifier(Instances). Method in class weka.classifiers.j48.NoSplit
Creates a "no-split"-split for a given set of instances.
buildClassifier(Instances). Method in class weka.classifiers.j48.BinC45Split
Creates a C4.5-type split on the given data.
buildClassifier(Instances). Method in class weka.classifiers.j48.MakeDecList
Builds dec list.
buildClassifier(Instances). Method in class weka.classifiers.j48.PruneableClassifierTree
Method for building a pruneable classifier tree.
buildClassifier(Instances). Method in class weka.classifiers.j48.PART
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.j48.C45Split
Creates a C4.5-type split on the given data.
buildClassifier(Instances). Method in class weka.classifiers.j48.C45PruneableClassifierTree
Method for building a pruneable classifier tree.
buildClassifier(Instances). Method in class weka.classifiers.kstar.KStar
Generates the classifier.
buildClassifier(Instances). Method in class weka.classifiers.m5.M5Prime
Construct a model tree by training instances
buildClassifier(Instances). Method in class weka.classifiers.neural.NeuralNetwork
Call this function to build and train a neural network for the training data provided.
buildClusterer(Instances). Method in class weka.clusterers.Clusterer
Generates a clusterer.
buildClusterer(Instances). Method in class weka.clusterers.Cobweb
Builds the clusterer.
buildClusterer(Instances). Method in class weka.clusterers.SimpleKMeans
Generates a clusterer.
buildClusterer(Instances). Method in class weka.clusterers.EM
Generates a clusterer.
buildClusterer(Instances). Method in class weka.clusterers.DistributionMetaClusterer
Builds the clusterer.
buildDecList(Instances, boolean). Method in class weka.classifiers.j48.ClassifierDecList
Builds the partial tree without hold out set.
buildDecList(Instances, Instances, boolean). Method in class weka.classifiers.j48.ClassifierDecList
Builds the partial tree with hold out set
buildEvaluator(Instances). Method in class weka.attributeSelection.ASEvaluation
Generates a attribute evaluator.
buildEvaluator(Instances). Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Initializes a symmetrical uncertainty attribute evaluator.
buildEvaluator(Instances). Method in class weka.attributeSelection.GainRatioAttributeEval
Initializes a gain ratio attribute evaluator.
buildEvaluator(Instances). Method in class weka.attributeSelection.CfsSubsetEval
Generates a attribute evaluator.
buildEvaluator(Instances). Method in class weka.attributeSelection.ReliefFAttributeEval
Initializes a ReliefF attribute evaluator.
buildEvaluator(Instances). Method in class weka.attributeSelection.ChiSquaredAttributeEval
Initializes a chi-squared attribute evaluator.
buildEvaluator(Instances). Method in class weka.attributeSelection.OneRAttributeEval
Initializes an information gain attribute evaluator.
buildEvaluator(Instances). Method in class weka.attributeSelection.InfoGainAttributeEval
Initializes an information gain attribute evaluator.
buildEvaluator(Instances). Method in class weka.attributeSelection.ConsistencySubsetEval
Generates a attribute evaluator.
buildEvaluator(Instances). Method in class weka.attributeSelection.ClassifierSubsetEval
Generates a attribute evaluator.
buildEvaluator(Instances). Method in class weka.attributeSelection.PrincipalComponents
Initializes principal components and performs the analysis
buildEvaluator(Instances). Method in class weka.attributeSelection.WrapperSubsetEval
Generates a attribute evaluator.
buildRule(Instances). Method in class weka.classifiers.j48.C45PruneableDecList
Method for building a pruned partial tree.
buildRule(Instances, Instances). Method in class weka.classifiers.j48.PruneableDecList
Method for building a pruned partial tree.
buildTree(Instances, boolean). Method in class weka.classifiers.j48.ClassifierTree
Builds the tree structure.
buildTree(Instances, Instances, boolean). Method in class weka.classifiers.j48.ClassifierTree
Builds the tree structure with hold out set
BVDecompose class weka.classifiers.BVDecompose.
Class for performing a Bias-Variance decomposition on any classifier using the method specified in:

R.

BVDecompose(). Constructor for class weka.classifiers.BVDecompose

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