A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

I

IB1 - class weka.classifiers.lazy.IB1.

IB1-type classifier.

IB1() - Constructor for class weka.classifiers.lazy.IB1

IBk - class weka.classifiers.lazy.IBk.

K-nearest neighbours classifier.

IBk(int) - Constructor for class weka.classifiers.lazy.IBk

IBk classifier.

IBk() - Constructor for class weka.classifiers.lazy.IBk

IB1 classifer.

IBk.NeighborList - class weka.classifiers.lazy.IBk.NeighborList.

IBk.NeighborList(int) - Constructor for class weka.classifiers.lazy.IBk.NeighborList

Creates the neighborlist with a desired length

IBk.NeighborNode - class weka.classifiers.lazy.IBk.NeighborNode.

IBk.NeighborNode(double, Instance, IBk.NeighborNode) - Constructor for class weka.classifiers.lazy.IBk.NeighborNode

Create a new neighbor node.

IBk.NeighborNode(double, Instance) - Constructor for class weka.classifiers.lazy.IBk.NeighborNode

Create a new neighbor node that doesn't link to any other nodes.

ICONPATH - Variable in class weka.gui.graphvisualizer.GraphVisualizer

path for icons

ICON_PATH - Static variable in class weka.gui.beans.BeanVisual

ID - Variable in class weka.gui.graphvisualizer.GraphNode

ID and label for the node

IDFTransformTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector

Returns the tip text for this property

IDLE - Static variable in class weka.gui.beans.BeanInstance

IDLE - Static variable in class weka.gui.beans.Classifier

IDLE - Static variable in class weka.gui.beans.Filter

ILLEGAL_ARGUMENT - Static variable in class weka.core.converters.ClassTreeParser

Error-message for an exception thrown in case of a invalid argument.

IMPLICIT - Static variable in class weka.associations.Tertius

INCREMENTAL - Static variable in class weka.core.converters.AbstractLoader

INDIVIDUAL_PROPERTY - Static variable in class weka.associations.tertius.IndividualLiteral

INITIAL_STEP - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants

INPUT - Static variable in class weka.classifiers.functions.neural.NeuralConnection

This unit is an input unit.

INSTANCE_AVAILABLE - Static variable in class weka.gui.beans.InstanceEvent

INSTANCE_AVAILABLE - Static variable in class weka.gui.streams.InstanceEvent

Specifies that an instance is available

INTEGER - Static variable in class weka.experiment.DatabaseUtils

INVERSE - Static variable in class weka.classifiers.lazy.LWL

IN_USE - Static variable in class weka.experiment.RemoteExperiment

IN_USE - Static variable in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed

Id3 - class weka.classifiers.trees.Id3.

Class implementing an Id3 decision tree classifier.

Id3() - Constructor for class weka.classifiers.trees.Id3

Impurity - class weka.classifiers.trees.m5.Impurity.

Class for handling the impurity values when spliting the instances

Impurity(int, int, Instances, int) - Constructor for class weka.classifiers.trees.m5.Impurity

Constructs an Impurity object containing the impurity values of partitioning the instances using an attribute

IncrementalClassifierEvaluator - class weka.gui.beans.IncrementalClassifierEvaluator.

Bean that evaluates incremental classifiers

IncrementalClassifierEvaluator() - Constructor for class weka.gui.beans.IncrementalClassifierEvaluator

IncrementalClassifierEvaluatorBeanInfo - class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo.

Bean info class for the incremental classifier evaluator bean

IncrementalClassifierEvaluatorBeanInfo() - Constructor for class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo

IncrementalClassifierEvent - class weka.gui.beans.IncrementalClassifierEvent.

Class encapsulating an incrementally built classifier and current instance

IncrementalClassifierEvent(Object, Classifier, Instance, int) - Constructor for class weka.gui.beans.IncrementalClassifierEvent

Creates a new IncrementalClassifierEvent instance.

IncrementalClassifierEvent(Object) - Constructor for class weka.gui.beans.IncrementalClassifierEvent

IncrementalClassifierListener - interface weka.gui.beans.IncrementalClassifierListener.

Interface to something that can process a IncrementalClassifierEvent

IncrementalLoader - interface weka.core.converters.IncrementalLoader.

Marker interface for a loader that can retrieve instances incrementally

IndividualInstance - class weka.associations.tertius.IndividualInstance.

IndividualInstance(Instance, Instances) - Constructor for class weka.associations.tertius.IndividualInstance

IndividualInstance(IndividualInstance) - Constructor for class weka.associations.tertius.IndividualInstance

IndividualInstances - class weka.associations.tertius.IndividualInstances.

IndividualInstances(Instances, Instances) - Constructor for class weka.associations.tertius.IndividualInstances

IndividualLiteral - class weka.associations.tertius.IndividualLiteral.

IndividualLiteral(Predicate, String, int, int, int, int) - Constructor for class weka.associations.tertius.IndividualLiteral

InfoGainAttributeEval - class weka.attributeSelection.InfoGainAttributeEval.

Class for Evaluating attributes individually by measuring information gain with respect to the class.

InfoGainAttributeEval() - Constructor for class weka.attributeSelection.InfoGainAttributeEval

Constructor

InfoGainSplitCrit - class weka.classifiers.trees.j48.InfoGainSplitCrit.

Class for computing the information gain for a given distribution.

InfoGainSplitCrit() - Constructor for class weka.classifiers.trees.j48.InfoGainSplitCrit

Instance - class weka.core.Instance.

Class for handling an instance.

Instance(Instance) - Constructor for class weka.core.Instance

Constructor that copies the attribute values and the weight from the given instance.

Instance(double, double[]) - Constructor for class weka.core.Instance

Constructor that inititalizes instance variable with given values.

Instance(int) - Constructor for class weka.core.Instance

Constructor of an instance that sets weight to one, all values to be missing, and the reference to the dataset to null.

Instance() - Constructor for class weka.core.Instance

Private constructor for subclasses.

InstanceCounter - class weka.gui.streams.InstanceCounter.

A bean that counts instances streamed to it.

InstanceCounter() - Constructor for class weka.gui.streams.InstanceCounter

InstanceEvent - class weka.gui.beans.InstanceEvent.

Event that encapsulates a single instance

InstanceEvent(Object, Instance, int) - Constructor for class weka.gui.beans.InstanceEvent

Creates a new InstanceEvent instance.

InstanceEvent(Object) - Constructor for class weka.gui.beans.InstanceEvent

InstanceEvent - class weka.gui.streams.InstanceEvent.

An event encapsulating an instance stream event.

InstanceEvent(Object, int) - Constructor for class weka.gui.streams.InstanceEvent

Constructs an InstanceEvent with the specified source object and event type

InstanceJoiner - class weka.gui.streams.InstanceJoiner.

A bean that joins two streams of instances into one.

InstanceJoiner() - Constructor for class weka.gui.streams.InstanceJoiner

Setup the initial states of the member variables

InstanceListener - interface weka.gui.beans.InstanceListener.

Interface to something that can accept instance events

InstanceListener - interface weka.gui.streams.InstanceListener.

An interface for objects interested in listening to streams of instances.

InstanceLoader - class weka.gui.streams.InstanceLoader.

A bean that produces a stream of instances from a file.

InstanceLoader() - Constructor for class weka.gui.streams.InstanceLoader

InstanceLoader.LoadThread - class weka.gui.streams.InstanceLoader.LoadThread.

InstanceLoader.LoadThread(InstanceProducer) - Constructor for class weka.gui.streams.InstanceLoader.LoadThread

InstanceProducer - interface weka.gui.streams.InstanceProducer.

An interface for objects capable of producing streams of instances.

InstanceQuery - class weka.experiment.InstanceQuery.

Convert the results of a database query into instances.

InstanceQuery() - Constructor for class weka.experiment.InstanceQuery

Sets up the database drivers

InstanceSavePanel - class weka.gui.streams.InstanceSavePanel.

A bean that saves a stream of instances to a file.

InstanceSavePanel() - Constructor for class weka.gui.streams.InstanceSavePanel

InstanceTable - class weka.gui.streams.InstanceTable.

A bean that takes a stream of instances and displays in a table.

InstanceTable() - Constructor for class weka.gui.streams.InstanceTable

InstanceViewer - class weka.gui.streams.InstanceViewer.

This is a very simple instance viewer - just displays the dataset as text output as it would be written to a file.

InstanceViewer() - Constructor for class weka.gui.streams.InstanceViewer

Instances - class weka.core.Instances.

Class for handling an ordered set of weighted instances.

Instances(Reader) - Constructor for class weka.core.Instances

Reads an ARFF file from a reader, and assigns a weight of one to each instance.

Instances(Reader, int) - Constructor for class weka.core.Instances

Reads the header of an ARFF file from a reader and reserves space for the given number of instances.

Instances(Instances) - Constructor for class weka.core.Instances

Constructor copying all instances and references to the header information from the given set of instances.

Instances(Instances, int) - Constructor for class weka.core.Instances

Constructor creating an empty set of instances.

Instances(Instances, int, int) - Constructor for class weka.core.Instances

Creates a new set of instances by copying a subset of another set.

Instances(String, FastVector, int) - Constructor for class weka.core.Instances

Creates an empty set of instances.

InstancesResultListener - class weka.experiment.InstancesResultListener.

InstancesResultListener outputs the received results in arff format to a Writer.

InstancesResultListener() - Constructor for class weka.experiment.InstancesResultListener

InstancesSummaryPanel - class weka.gui.InstancesSummaryPanel.

This panel just displays relation name, number of instances, and number of attributes.

InstancesSummaryPanel() - Constructor for class weka.gui.InstancesSummaryPanel

Creates the instances panel with no initial instances.

IntVector - class weka.classifiers.functions.pace.IntVector.

IntVector() - Constructor for class weka.classifiers.functions.pace.IntVector

Constructs a null vector.

IntVector(int) - Constructor for class weka.classifiers.functions.pace.IntVector

Constructs an n-vector of zeros.

IntVector(int, int) - Constructor for class weka.classifiers.functions.pace.IntVector

Constructs an n-vector of a constant

IntVector(int[]) - Constructor for class weka.classifiers.functions.pace.IntVector

Constructs a vector given an int array

IsArc(int, int) - Method in class weka.classifiers.bayes.BayesNetB2

IsArc checks whether the arc from iAttributeTail to iAttributeHead already exists

ItemSet - class weka.associations.ItemSet.

Class for storing a set of items.

ItemSet(int) - Constructor for class weka.associations.ItemSet

Constructor

IteratedSingleClassifierEnhancer - class weka.classifiers.IteratedSingleClassifierEnhancer.

Abstract utility class for handling settings common to meta classifiers that build an ensemble from a single base learner.

IteratedSingleClassifierEnhancer() - Constructor for class weka.classifiers.IteratedSingleClassifierEnhancer

IterativeClassifier - interface weka.classifiers.IterativeClassifier.

Interface for classifiers that can induce models of growing complexity one step at a time.

identity(int, int) - Static method in class weka.classifiers.functions.pace.Matrix

Generate identity matrix

ignoredAttributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.AddCluster

Returns the tip text for this property

ignoredAttributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.ClusterMembership

Returns the tip text for this property

impurity - Variable in class weka.classifiers.trees.m5.Impurity

inPoly(FastVector, double, double) - Method in class weka.classifiers.trees.UserClassifier.TreeClass

Call this to determine if an instance is in a polygon.

inPoly(FastVector, double, double) - Method in class weka.gui.visualize.VisualizePanel.PlotPanel

This checks to see if The coordinate passed is inside the polygon that was passed.

inPolyline(FastVector, double, double) - Method in class weka.classifiers.trees.UserClassifier.TreeClass

Call to find out if an instance is in a polyline.

inPolyline(FastVector, double, double) - Method in class weka.gui.visualize.VisualizePanel.PlotPanel

Checks to see if the coordinate passed is inside the ployline passed, Note that this is done using attribute values and not there respective screen values.

inSplit(Instance) - Method in class weka.gui.visualize.VisualizePanel.PlotPanel

This will check if an instance is inside or outside of the current shapes.

inStarting(int) - Method in class weka.attributeSelection.Ranker

inStream - Variable in class weka.gui.graphvisualizer.BIFParser

This holds the InputStream to be parsed

inString - Variable in class weka.gui.graphvisualizer.BIFParser

This holds the string to be parsed

includeAll() - Method in class weka.gui.AttributeSelectionPanel.AttributeTableModel

Sets the state of all attributes to selected.

incompleteBeta(double, double, double) - Static method in class weka.core.Statistics

Returns the Incomplete Beta Function evaluated from zero to xx.

incompleteBetaFraction1(double, double, double) - Static method in class weka.core.Statistics

Continued fraction expansion #1 for incomplete beta integral.

incompleteBetaFraction2(double, double, double) - Static method in class weka.core.Statistics

Continued fraction expansion #2 for incomplete beta integral.

incompleteGamma(double, double) - Static method in class weka.core.Statistics

Returns the Incomplete Gamma function.

incompleteGammaComplement(double, double) - Static method in class weka.core.Statistics

Returns the Complemented Incomplete Gamma function.

incorrect() - Method in class weka.classifiers.Evaluation

Gets the number of instances incorrectly classified (that is, for which an incorrect prediction was made).

incorrect() - Method in class weka.classifiers.evaluation.ConfusionMatrix

Gets the number of incorrect classifications (that is, for which an incorrect prediction was made).

incrNegativeCount() - Method in class weka.classifiers.rules.NNge.Exemplar

Increment the number of negative Classifications

incrPositiveCount() - Method in class weka.classifiers.rules.NNge.Exemplar

Increment the number of positive Classifications

incrementFailed(int) - Method in class weka.experiment.RemoteExperiment

Increment the overall number of failures and the number of failures for a particular host

incrementFailed(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed

Increment the overall number of failures and the number of failures for a particular host

incrementFinished() - Method in class weka.experiment.RemoteExperiment

Increment the number of successfully completed sub experiments

incrementFinished() - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed

Increment the number of successfully completed sub experiments

incremental(double, int) - Method in class weka.classifiers.trees.m5.Impurity

Incrementally computes the impurirty values

indeX - Variable in class weka.classifiers.rules.part.ClassifierDecList

Which son to expand?

index - Variable in class weka.classifiers.misc.FLR

index() - Method in class weka.core.Attribute

Returns the index of this attribute.

index(int) - Method in class weka.core.Instance

Returns the index of the attribute stored at the given position.

index(int) - Method in class weka.core.SparseInstance

Returns the index of the attribute stored at the given position.

indexOf(Literal) - Method in class weka.associations.tertius.Predicate

indexOf(Object) - Method in class weka.core.FastVector

Searches for the first occurence of the given argument, testing for equality using the equals method.

indexOfElementInLevel(int, int[]) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine

Returns the index of an element in a level.

indexOfMax() - Method in class weka.classifiers.functions.pace.DoubleVector

Returns the index of the maximum.

indexOfValue(String) - Method in class weka.core.Attribute

Returns the index of a given attribute value.

indexToString(int) - Static method in class weka.core.SingleIndex

Creates a string representation of the given index.

indicesToRangeList(int[]) - Static method in class weka.core.Range

Creates a string representation of the indices in the supplied array.

individualPredictions(Instance) - Method in class weka.classifiers.meta.MultiClassClassifier

Returns the individual predictions of the base classifiers for an instance.

infixPriority(char) - Method in class weka.filters.unsupervised.attribute.AddExpression

Return the infix priority of an operator

info(int[]) - Static method in class weka.core.Utils

Computes entropy for an array of integers.

infoGain - Variable in class weka.classifiers.rules.Ridor.NominalAntd

infoGain() - Method in class weka.classifiers.trees.j48.BinC45Split

Returns (C4.5-type) information gain for the generated split.

infoGain() - Method in class weka.classifiers.trees.j48.C45Split

Returns (C4.5-type) information gain for the generated split.

infoGainCrit - Static variable in class weka.classifiers.trees.j48.C45Split

Static reference to splitting criterion.

inform - Variable in class weka.classifiers.rules.ConjunctiveRule.Antd

The information of this antecedent test on the growing data

init() - Method in class weka.classifiers.lazy.IBk

Initialise scheme variables.

init() - Method in class weka.classifiers.lazy.kstar.KStarNominalAttribute

Initializes the m_Attributes of the class.

init() - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute

Initializes the m_Attributes of the class.

init(Instances) - Method in class weka.core.converters.AbstractClassHierarchyParser

This init-method checks only if the class-attribute is nominal.

init(Instances) - Method in interface weka.core.converters.ClassHierarchyParser

Initiation of a ClassHierarchyParser should enable it to validate a given encoded hierarchy.

init(Instances) - Method in class weka.core.converters.ClassTreeParser

Inits the ClassTreeParser.

init(Attribute, ClassHierarchy) - Method in class weka.core.converters.HierarchicalCostMatrix

Inits the fields according to the given classes and hierarchy.

initAsNaiveBayesTipText() - Method in class weka.classifiers.bayes.BayesNet

initClassifier(Instances) - Method in interface weka.classifiers.IterativeClassifier

Inits an iterative classifier.

initClassifier(Instances) - Method in class weka.classifiers.trees.ADTree

Sets up the tree ready to be trained, using two-class optimized method.

initInternalFields() - Method in class weka.gui.visualize.MatrixPanel

Initializes internal data fields, i.e. data values, type, missing and color cache arrays

initMinMax(Instances) - Method in class weka.clusterers.FarthestFirst

initND(String[]) - Method in class weka.classifiers.meta.HND

Sets the given options to the ND.

initPlot() - Method in class weka.gui.beans.StripChart

initPopulation() - Method in class weka.attributeSelection.GeneticSearch

creates random population members for the initial population.

initRegressions() - Method in class weka.classifiers.trees.lmt.LogisticBase

Helper function to initialize m_regressions.

initStructure() - Method in class weka.classifiers.bayes.BayesNet

Init structure initializes the structure to an empty graph or a Naive Bayes graph (depending on the -N flag).

initTokenizer(StreamTokenizer) - Method in class weka.core.Instances

Initializes the StreamTokenizer used for reading the ARFF file.

initTokenizer(StreamTokenizer) - Method in class weka.core.converters.C45Loader

Initializes the stream tokenizer

initTokenizer(StreamTokenizer) - Method in class weka.core.converters.CSVLoader

Initializes the stream tokenizer

initWeight(NNge.Exemplar) - Method in class weka.classifiers.rules.NNge

Init the weight of ex Watch out !

init_m_Attributes() - Method in class weka.classifiers.lazy.KStar

Initializes the m_Attributes of the class.

initialProbs(int) - Method in class weka.classifiers.meta.LogitBoost

Gets the intial class probabilities.

initialize() - Method in class weka.classifiers.CostMatrix

Sets the cost of all correct classifications to 0, and all misclassifications to 1.

initialize() - Method in class weka.classifiers.trees.j48.Distribution

Sets all counts to zero.

initialize(int, int, int) - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo

Resets the object of split information

initialize(int, int, int) - Method in class weka.classifiers.trees.m5.YongSplitInfo

Resets the object of split information

initialize() - Method in class weka.core.Matrix

Resets the elements to default values (i.e. 0).

initialize() - Method in class weka.experiment.Experiment

Prepares an experiment for running, initializing current iterator settings.

initialize() - Method in class weka.experiment.RemoteExperiment

Prepares a remote experiment for running, creates sub experiments

initialize() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel

Set up the off screen bitmap for rendering to

initialize() - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed

initialize() - Method in class weka.gui.visualize.MatrixPanel.Plot

Initializes the internal fields

innerProduct(Instance, Instance) - Method in class weka.classifiers.functions.VotedPerceptron

Computes the inner product of two instances

innerProduct(DoubleVector) - Method in class weka.classifiers.functions.pace.DoubleVector

Returns the inner product of two DoubleVectors

input(Instance) - Method in class weka.filters.AllFilter

Input an instance for filtering.

input(Instance) - Method in class weka.filters.Filter

Input an instance for filtering.

input(Instance) - Method in class weka.filters.NullFilter

Input an instance for filtering.

input(Instance) - Method in class weka.filters.supervised.attribute.AttributeSelection

Input an instance for filtering.

input(Instance) - Method in class weka.filters.supervised.attribute.ClassOrder

Input an instance for filtering.

input(Instance) - Method in class weka.filters.supervised.attribute.Discretize

Input an instance for filtering.

input(Instance) - Method in class weka.filters.supervised.attribute.NominalToBinary

Input an instance for filtering.

input(Instance) - Method in class weka.filters.supervised.instance.Resample

Input an instance for filtering.

input(Instance) - Method in class weka.filters.supervised.instance.SpreadSubsample

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.Add

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.AddCluster

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.AddExpression

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.AddNoise

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.ClusterMembership

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.Copy

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.Discretize

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.FirstOrder

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.MakeIndicator

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.NominalToBinary

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.Normalize

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.NumericToBinary

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.NumericTransform

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.Obfuscate

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.RandomProjection

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.Remove

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.RemoveType

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.RemoveUseless

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.Standardize

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.StringToNominal

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.StringToWordVector

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.attribute.SwapValues

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveWithValues

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.instance.Resample

Input an instance for filtering.

input(Instance) - Method in class weka.filters.unsupervised.instance.SparseToNonSparse

Input an instance for filtering.

input(Instance) - Method in class weka.gui.streams.InstanceCounter

input(Instance) - Method in class weka.gui.streams.InstanceJoiner

input(Instance) - Method in class weka.gui.streams.InstanceSavePanel

input(Instance) - Method in class weka.gui.streams.InstanceTable

input(Instance) - Method in class weka.gui.streams.InstanceViewer

inputFormat(Instances) - Method in class weka.filters.Filter

Deprecated. use setInputFormat(Instances) instead.

inputFormat(Instances) - Method in class weka.gui.streams.InstanceCounter

inputFormat(Instances) - Method in class weka.gui.streams.InstanceJoiner

Sets the format of the input instances.

inputFormat(Instances) - Method in class weka.gui.streams.InstanceSavePanel

inputFormat(Instances) - Method in class weka.gui.streams.InstanceTable

inputFormat(Instances) - Method in class weka.gui.streams.InstanceViewer

inputFormatPeek() - Method in class weka.filters.Filter

Returns a reference to the current input format without copying it.

insert(int) - Method in class weka.classifiers.functions.supportVector.SMOset

Inserts an element into the set.

insert(double, double, double) - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable

Inserts a new entry in the hashtable using the specified key.

insertAttributeAt(Attribute, int) - Method in class weka.core.ClassRemoveableInstances

Inserts an attribute at the given position (0 to numAttributes()) and sets all values to be missing.

insertAttributeAt(int) - Method in class weka.core.Instance

Inserts an attribute at the given position (0 to numAttributes()).

insertAttributeAt(Attribute, int) - Method in class weka.core.Instances

Inserts an attribute at the given position (0 to numAttributes()) and sets all values to be missing.

insertClassIndex(int) - Method in class weka.classifiers.meta.ND.NDTree

Inserts a class index into the tree.

insertClassIndexAtNode(int) - Method in class weka.classifiers.meta.ND.NDTree

Inserts the class index at a given node.

insertElementAt(Object, int) - Method in class weka.core.FastVector

Inserts an element at the given position.

insertHoldOutInstance(Instance, double, REPTree.Tree) - Method in class weka.classifiers.trees.REPTree.Tree

Inserts an instance from the hold-out set into the tree.

insertHoldOutSet(Instances) - Method in class weka.classifiers.trees.REPTree.Tree

Inserts hold-out set into tree.

insertIntoTable(Instance, double[]) - Method in class weka.attributeSelection.ConsistencySubsetEval

Inserts an instance into the hash table

insertIntoTable(Instance, double[]) - Method in class weka.classifiers.rules.DecisionTable

Inserts an instance into the hash table

insertSorted(double, Instance) - Method in class weka.classifiers.lazy.IBk.NeighborList

Inserts an instance neighbor into the list, maintaining the list sorted by distance.

installLinearModels() - Method in class weka.classifiers.trees.m5.RuleNode

Traverses the tree and installs linear models at each node.

installSmoothedModels() - Method in class weka.classifiers.trees.m5.RuleNode

instance(int) - Method in class weka.core.Instances

Returns the instance at the given position.

instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceCounter

instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceJoiner

instanceProduced(InstanceEvent) - Method in interface weka.gui.streams.InstanceListener

instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceSavePanel

instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceTable

instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceViewer

instanceRangeTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries

Returns the tip text for this property

instanceTransformationProbability(Instance, Instance) - Method in class weka.classifiers.lazy.KStar

Calculate the probability of the first instance transforming into the second instance: the probability is the product of the transformation probabilities of the attributes normilized over the number of instances used.

instanceWeights(boolean, boolean, boolean) - Method in class weka.classifiers.CheckClassifier

Checks whether the classifier can handle instance weights.

instancesAndWeights() - Method in class weka.core.Instances

Returns string including all instances, their weights and their indices in the original dataset.

instancesDownBranch(int, Instances) - Method in class weka.classifiers.trees.adtree.Splitter

Gets the subset of instances that apply to a particluar branch of the split.

instancesDownBranch(int, Instances) - Method in class weka.classifiers.trees.adtree.TwoWayNominalSplit

Gets the subset of instances that apply to a particluar branch of the split.

instancesDownBranch(int, Instances) - Method in class weka.classifiers.trees.adtree.TwoWayNumericSplit

Gets the subset of instances that apply to a particluar branch of the split.

instancesIndicesTipText() - Method in class weka.filters.unsupervised.instance.RemoveRange

Returns the tip text for this property

instantiateToolBarBean(boolean, String, String) - Method in class weka.gui.beans.KnowledgeFlow

Instantiates a bean for display in the toolbars

intCount - Variable in class weka.core.AttributeStats

The number of int-like values

intDigits - Variable in class weka.classifiers.functions.pace.FlexibleDecimalFormat

intDigits(double) - Static method in class weka.classifiers.functions.pace.FlexibleDecimalFormat

intercept() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel

Return the intercept

intpad - Variable in class weka.gui.visualize.MatrixPanel.Plot

inverseIterator() - Method in class weka.associations.tertius.SimpleLinkedList

inverseLabel(double[]) - Method in class weka.classifiers.meta.Decorate

Select class label such that the probability of selection is inversely proportional to the ensemble's predictions.

invert() - Method in class weka.gui.AttributeSelectionPanel.AttributeTableModel

Inverts the selected status of each attribute.

invertSelectionTipText() - Method in class weka.filters.supervised.attribute.Discretize

Returns the tip text for this property

invertSelectionTipText() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds

Returns the tip text for this property

invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries

Returns the tip text for this property

invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.Copy

Returns the tip text for this property

invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.Discretize

Returns the tip text for this property

invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform

Returns the tip text for this property

invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.Remove

Returns the tip text for this property

invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.RemoveType

Returns the tip text for this property

invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemoveFolds

Returns the tip text for this property

invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemovePercentage

Returns the tip text for this property

invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemoveRange

Returns the tip text for this property

invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues

Returns the tip text for this property

invertTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified

Returns the tip text for this property

isAveragable() - Method in class weka.core.Attribute

Returns whether the attribute can be averaged meaningfully.

isCacheValid(Object[]) - Method in class weka.experiment.DatabaseResultListener

Checks whether the current cache contents are valid for the supplied key.

isCellEditable(int, int) - Method in class weka.gui.AttributeListPanel.AttributeTableModel

Returns false

isCellEditable(int, int) - Method in class weka.gui.AttributeSelectionPanel.AttributeTableModel

Returns true if the column is the "selected" column.

isCellEditable(int, int) - Method in class weka.gui.CostMatrixEditor.CostMatrixTableModel

Indicates whether a cell in the table is editable.

isCellEditable(int, int) - Method in class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerTableModel

isClass() - Method in class weka.associations.tertius.Predicate

isConnected() - Method in class weka.experiment.DatabaseUtils

Returns true if a database connection is active.

isContained(HierarchyPropertyParser.TreeNode, String[], int) - Method in class weka.gui.HierarchyPropertyParser

Private function to decide whether one level of one branch contains the relevant values

isCover(Instance) - Method in class weka.classifiers.rules.ConjunctiveRule.Antd

isCover(Instance) - Method in class weka.classifiers.rules.ConjunctiveRule.NominalAntd

Whether the instance is covered by this antecedent

isCover(Instance) - Method in class weka.classifiers.rules.ConjunctiveRule.NumericAntd

Whether the instance is covered by this antecedent

isCover(Instance) - Method in class weka.classifiers.rules.ConjunctiveRule

Whether the instance covered by this rule

isCover(Instance) - Method in class weka.classifiers.rules.Ridor.Antd

isCover(Instance) - Method in class weka.classifiers.rules.Ridor.NominalAntd

Whether the instance is covered by this antecedent

isCover(Instance) - Method in class weka.classifiers.rules.Ridor.NumericAntd

Whether the instance is covered by this antecedent

isCover(Instance) - Method in class weka.classifiers.rules.Ridor.RidorRule

Whether the instance covered by this rule

isDate() - Method in class weka.core.Attribute

Tests if the attribute is a date type.

isEmpty() - Method in class weka.associations.tertius.LiteralSet

Test if this set is empty.

isEmpty() - Method in class weka.associations.tertius.Rule

Test if this rule is empty.

isEmpty() - Method in class weka.associations.tertius.SimpleLinkedList

isEmpty() - Method in class weka.classifiers.functions.pace.DiscreteFunction

Returns true if it is empty.

isEmpty() - Method in class weka.classifiers.functions.pace.DoubleVector

Checks if it is an empty vector

isEmpty() - Method in class weka.classifiers.functions.pace.IntVector

Returns true if the vector is empty

isEmpty() - Method in class weka.classifiers.functions.pace.PaceMatrix

Check if the matrix is empty

isEmpty() - Method in class weka.classifiers.lazy.IBk.NeighborList

Gets whether the list is empty.

isEmpty() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable

Tests if this hashtable maps no keys to values.

isEmpty() - Method in class weka.classifiers.rules.NNge.Exemplar

Returns true if the Exemplar is empty (i.e. doesn't yield any Instance)

isHierachic(String) - Method in class weka.gui.HierarchyPropertyParser

Whether the given string has a hierachy structure with the seperators

isIn - Variable in class weka.classifiers.rules.ConjunctiveRule.NominalAntd

isIn() - Method in class weka.classifiers.rules.ConjunctiveRule.NominalAntd

Whether the expression is "att = value" or att !

isInRange(double) - Method in class weka.core.Attribute

Determines whether a value lies within the bounds of the attribute.

isInRange(int) - Method in class weka.core.Range

Gets whether the supplied cardinal number is included in the current range.

isIncludedIn(Rule) - Method in class weka.associations.tertius.Body

Test if this Body is included in a rule.

isIncludedIn(Rule) - Method in class weka.associations.tertius.Head

Test if this Head is included in a rule.

isIncludedIn(Rule) - Method in class weka.associations.tertius.LiteralSet

Test if this LiteralSet is included in a rule.

isKeyInCache(ResultProducer, Object[]) - Method in class weka.experiment.DatabaseResultListener

Returns true if the supplied key is in the key cache (and thus we do not need to execute a database query).

isKeyInTable(String, ResultProducer, Object[]) - Method in class weka.experiment.DatabaseUtils

Executes a database query to see whether a result for the supplied key is already in the database.

isLeaf() - Method in class weka.classifiers.trees.m5.RuleNode

Return true if this node is a leaf

isLeafReached() - Method in class weka.gui.HierarchyPropertyParser

Whether the current position is a leaf

isMentionedIn(Attribute, Prism.Test) - Static method in class weka.classifiers.rules.Prism

Is this attribute mentioned in the rule?

isMissing(int) - Method in class weka.core.Instance

Tests if a specific value is "missing".

isMissing(Attribute) - Method in class weka.core.Instance

Tests if a specific value is "missing".

isMissing(int) - Method in class weka.core.SparseInstance

Tests if a specific value is "missing".

isMissingSparse(int) - Method in class weka.core.Instance

Tests if a specific value is "missing".

isMissingValue(double) - Static method in class weka.core.Instance

Tests if the given value codes "missing".

isNominal() - Method in class weka.core.Attribute

Test if the attribute is nominal.

isNominal() - Method in class weka.filters.unsupervised.instance.RemoveWithValues

Returns true if selection attribute is nominal.

isNumeric() - Method in class weka.core.Attribute

Tests if the attribute is numeric.

isNumeric() - Method in class weka.filters.unsupervised.instance.RemoveWithValues

Returns true if selection attribute is numeric.

isOperator(char) - Method in class weka.filters.unsupervised.attribute.AddExpression

Returns true if a token is an operator

isOutputFormatDefined() - Method in class weka.filters.Filter

Returns whether the output format is ready to be collected

isOutputFormatDefined() - Method in class weka.filters.unsupervised.attribute.RemoveType

Returns whether the output format is ready to be collected

isPaintable() - Method in class weka.gui.CostMatrixEditor

Indicates whether the object can be represented graphically.

isPaintable() - Method in class weka.gui.FileEditor

Returns true since this editor is paintable.

isPaintable() - Method in class weka.gui.GenericArrayEditor

Returns true to indicate that we can paint a representation of the string array

isPaintable() - Method in class weka.gui.GenericObjectEditor

Returns true to indicate that we can paint a representation of the Object.

isRegular() - Method in class weka.core.Attribute

Returns whether the attribute values are equally spaced.

isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.AveragingResultProducer

Determines whether the results for a specified key must be generated.

isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.CSVResultListener

Always says a result is required.

isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.DatabaseResultListener

Always says a result is required.

isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.DatabaseResultProducer

Determines whether the results for a specified key must be generated.

isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.LearningRateResultProducer

Determines whether the results for a specified key must be generated.

isResultRequired(ResultProducer, Object[]) - Method in interface weka.experiment.ResultListener

Determines whether the results for a specified key must be generated.

isRootReached() - Method in class weka.gui.HierarchyPropertyParser

Whether the current position is the root

isSequentialAttIndexValid() - Method in class weka.classifiers.lazy.LBR.Indexes

Returns whether or not the Sequential Attribute Index requires rebuilding due to a change

isSequentialInstanceIndexValid() - Method in class weka.classifiers.lazy.LBR.Indexes

Returns whether or not the Sequential Instance Index requires rebuilding due to a change

isStopword(String) - Static method in class weka.core.Stopwords

Returns true if the given string is a stop word.

isString() - Method in class weka.core.Attribute

Tests if the attribute is a string.

isSymmetric() - Method in class weka.core.Matrix

Returns true if the matrix is symmetric.

isUnaryFunction(char) - Method in class weka.filters.unsupervised.attribute.AddExpression

Returns true if a token is a unary function

isValidRange(String) - Method in class weka.core.Range

Determines if a string represents a valid index or simple range.

isort(int[], float[]) - Static method in class weka.gui.graphvisualizer.HierarchicalBCEngine

This methods sorts the vertices in level[] according to their barycenters in BC[], using insertion sort.

itemStateChanged(ItemEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer

Performs the action associated with the ItemEvent.

iterate(Instances, boolean) - Method in class weka.clusterers.EM

iterates the E and M steps until the log likelihood of the data converges.

iterator() - Method in class weka.associations.tertius.SimpleLinkedList