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

H

HEAD - Static variable in class weka.associations.Tertius

HIERARCHY - Static variable in class weka.core.converters.ClassTreeArffFileParser

HLINE - Static variable in class weka.classifiers.trees.UserClassifier

HLINE - Static variable in class weka.gui.visualize.VisualizePanelEvent

HND - class weka.classifiers.meta.HND.

Class to create levelwise NDs with respect to a given hierarchy of classes.

HND() - Constructor for class weka.classifiers.meta.HND

Default constructor creates a HND without hierarchy for level 0.

HND(ClassHierarchy, Properties, int) - Constructor for class weka.classifiers.meta.HND

The constructor to be used by the buildLevelwiseClassifier(Instances) method provides a hierarchy.

Head - class weka.associations.tertius.Head.

Class representing the head of a rule.

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

Constructor without storing the counter-instances.

Head(Instances) - Constructor for class weka.associations.tertius.Head

Constructor storing the counter-instances.

HierarchicalBCEngine - class weka.gui.graphvisualizer.HierarchicalBCEngine.

This class lays out the vertices of a graph in a hierarchy of vertical levels, with a number of nodes in each level.

HierarchicalBCEngine(FastVector, FastVector, int, int) - Constructor for class weka.gui.graphvisualizer.HierarchicalBCEngine

Constructor - takes in FastVectors of nodes and edges, and the initial width and height of a node

HierarchicalBCEngine(FastVector, FastVector, int, int, boolean) - Constructor for class weka.gui.graphvisualizer.HierarchicalBCEngine

Constructor - takes in FastVectors of nodes and edges, the initial width and height of a node, and a boolean value to indicate if the edges should be concentrated.

HierarchicalBCEngine() - Constructor for class weka.gui.graphvisualizer.HierarchicalBCEngine

SimpleConstructor If we want to instantiate the class first, and if information for nodes and edges is not available.

HierarchicalBCEngine.MyList - class weka.gui.graphvisualizer.HierarchicalBCEngine.MyList.

The following classes implement a double linked list to be used in the crossings function.

HierarchicalBCEngine.MyList() - Constructor for class weka.gui.graphvisualizer.HierarchicalBCEngine.MyList

HierarchicalBCEngine.MyListNode - class weka.gui.graphvisualizer.HierarchicalBCEngine.MyListNode.

HierarchicalBCEngine.MyListNode(int) - Constructor for class weka.gui.graphvisualizer.HierarchicalBCEngine.MyListNode

HierarchicalCostMatrix - class weka.core.converters.HierarchicalCostMatrix.

This is a stand-alone class within the WEKA-framework to provide a hierarchical cost matrix for a given hierarchy of classes.

HierarchicalCostMatrix(Attribute, ClassHierarchy) - Constructor for class weka.core.converters.HierarchicalCostMatrix

Creates a hierarchical cost matrix using default multiplier.

HierarchicalCostMatrix(Attribute, ClassHierarchy, double) - Constructor for class weka.core.converters.HierarchicalCostMatrix

Creates a hierarchical cost matrix using given multiplier.

HierarchyPropertyParser - class weka.gui.HierarchyPropertyParser.

This class implements a parser to read properties that have a hierarchy(i.e. tree) structure.

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

Default constructor

HierarchyPropertyParser(String, String) - Constructor for class weka.gui.HierarchyPropertyParser

Constructor that builds a tree from the given property with the given delimitor

HierarchyPropertyParser.TreeNode - class weka.gui.HierarchyPropertyParser.TreeNode.

The inner class implementing a single tree node.

HierarchyPropertyParser.TreeNode() - Constructor for class weka.gui.HierarchyPropertyParser.TreeNode

HoldOutSubsetEvaluator - class weka.attributeSelection.HoldOutSubsetEvaluator.

Abstract attribute subset evaluator capable of evaluating subsets with respect to a data set that is distinct from that used to initialize/ train the subset evaluator.

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

HostListPanel - class weka.gui.experiment.HostListPanel.

This panel controls setting a list of hosts for a RemoteExperiment to use.

HostListPanel(RemoteExperiment) - Constructor for class weka.gui.experiment.HostListPanel

Creates the host list panel with the given experiment.

HostListPanel() - Constructor for class weka.gui.experiment.HostListPanel

Create the host list panel initially disabled.

HyperPipes - class weka.classifiers.misc.HyperPipes.

Class implementing a HyperPipe classifier.

HyperPipes() - Constructor for class weka.classifiers.misc.HyperPipes

HyperPipes.HyperPipe - class weka.classifiers.misc.HyperPipes.HyperPipe.

Represents an n-dimensional structure that bounds all instances passed to it (generally all of a given class value).

HyperPipes.HyperPipe(Instances) - Constructor for class weka.classifiers.misc.HyperPipes.HyperPipe

Creates the HyperPipe as the n-dimensional parallel-piped with minimum volume containing all the points in pointSet.

h(double) - Method in class weka.classifiers.functions.pace.ChisqMixture

Computes the value of h(x) given the mixture.

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

Computes the value of h(x) given the mixture, where x is a vector.

h(double) - Method in class weka.classifiers.functions.pace.NormalMixture

Computes the value of h(x) given the mixture.

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

Computes the value of h(x) given the mixture, where x is a vector.

h1(int, int) - Method in class weka.classifiers.functions.pace.PaceMatrix

Constructs single Householder transformation for a column

h2(int, int, double, PaceMatrix, int) - Method in class weka.classifiers.functions.pace.PaceMatrix

Performs single Householder transformation on one column of a matrix

handleCostOption(String, int) - Static method in class weka.classifiers.Evaluation

Attempts to load a cost matrix.

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

Creates split on enumerated attribute.

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

Creates split on enumerated attribute.

handleIncrementalEvent() - Method in class weka.gui.beans.Classifier

Handles initializing and updating an incremental classifier

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

Creates split on numeric attribute.

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

Creates split on numeric attribute.

handleOperand(String) - Method in class weka.filters.unsupervised.attribute.AddExpression

Handles the processing of an infix operand to postfix

handleOperator(String) - Method in class weka.filters.unsupervised.attribute.AddExpression

Handles the processing of an infix operator to postfix

hasAntds() - Method in class weka.classifiers.rules.ConjunctiveRule

Whether this rule has antecedents, i.e. whether it is a default rule

hasAntds() - Method in class weka.classifiers.rules.JRip.RipperRule

Whether this rule has antecedents, i.e. whether it is a default rule

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

Whether this rule has antecedents, i.e. whether it is a default rule

hasAntds() - Method in class weka.classifiers.rules.Rule

Whether this rule has antecedents, i.e. whether it is a default rule

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

Test if the head of the rule is false.

hasIncomingBatchInstances() - Method in class weka.gui.beans.Classifier

Returns true if this classifier has an incoming connection that is a batch set of instances

hasIncomingStreamInstances() - Method in class weka.gui.beans.Classifier

Returns true if this classifier has an incoming connection that is an instance stream

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

Test if all the intances are counter-instances.

hasModels() - Method in class weka.classifiers.trees.lmt.LMTNode

Returns true if the logistic regression model at this node has changed compared to the one at the parent node.

hasMoreElements() - Method in class weka.core.FastVector.FastVectorEnumeration

Tests if there are any more elements to enumerate.

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

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

Returns true if there are more iterations to carry out in the experiment.

hasNext() - Method in class weka.associations.tertius.SimpleLinkedList.LinkedListIterator

hasPrevious() - Method in class weka.associations.tertius.SimpleLinkedList.LinkedListInverseIterator

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

Test if the body of the rule is true.

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

Returns whether the attribute has a zeropoint and may be added meaningfully.

hash - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry

attribute value hash code

hashCode() - Method in class weka.associations.ItemSet

Produces a hash code for a item set.

hashCode() - Method in class weka.attributeSelection.ConsistencySubsetEval.hashKey

Calculates a hash code

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

Returns the hash code of the specified double.

hashCode() - Method in class weka.classifiers.rules.DecisionTable.hashKey

Calculates a hash code

hashCode() - Method in class weka.core.SerializedObject

Returns a hashcode for this object.

hc - Variable in class weka.gui.AttributeVisualizationPanel

headContains(Literal) - Method in class weka.associations.tertius.Rule

Test if the head of the rule contains a literal.

header - Variable in class weka.classifiers.bayes.ComplementNaiveBayes

The instances header that'll be used in toString

header(int) - Method in class weka.experiment.PairedTTester

Creates a "header" string describing the current resultsets.

headerInfo - Variable in class weka.classifiers.bayes.NaiveBayesMultinomial

heuristicStopTipText() - Method in class weka.classifiers.functions.SimpleLogistic

Returns the tip text for this property

hf(double) - Method in class weka.classifiers.functions.pace.ChisqMixture

Computes the value of h(x) / f(x) given the mixture.

hf(double) - Method in class weka.classifiers.functions.pace.NormalMixture

Computes the value of h(x) / f(x) given the mixture.

hiddenLayersTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron

hierarchy - Variable in class weka.classifiers.meta.HND

The hierarchy of classes for the current and deeper levels.

highLight(GraphNode) - Method in class weka.gui.graphvisualizer.GraphVisualizer.GraphPanel

This method highlights a given node and all its children and the edges coming out of it.

hillclimbRace(Instances, Random) - Method in class weka.attributeSelection.RaceSearch

Performs a hill climbing race---all single attribute changes to a base subset are raced in parallel.

histBarClassCounts - Variable in class weka.gui.AttributeVisualizationPanel

histBarCounts - Variable in class weka.gui.AttributeVisualizationPanel

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

Adds an instance to the history buffer.

historyRightClickPopup(String, int, int) - Method in class weka.gui.explorer.AssociationsPanel

Handles constructing a popup menu with visualization options.

holdOutFileTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval

Returns the tip text for this property

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

return true if inst is held by this Exemplar, false otherwise

holds(int, double) - Method in class weka.classifiers.rules.NNge.Exemplar

return true if value is inside the Exemplar along the attrIndex attribute.

hornClausesTipText() - Method in class weka.associations.Tertius

Returns the tip text for this property.

hypot(double, double) - Static method in class weka.classifiers.functions.pace.Maths

sqrt(a^2 + b^2) without under/overflow.

hypot(double, double) - Static method in class weka.core.Matrix

Returns sqrt(a^2 + b^2) without under/overflow.