All Packages  Class Hierarchy

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 neighbour classifier.

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

IB1 classifer.

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

IBk classifier.

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

Id3 class weka.classifiers.trees.Id3.

Class implementing an Id3 decision tree classifier.

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

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

Generate identity matrix

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

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

Returns the tip text for this property

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

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

Returns the Incomplete Beta Function evaluated from zero to xx.

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).

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

Incrementally computes the impurirty values

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). Constructor for class weka.gui.beans.IncrementalClassifierEvent

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

Creates a new IncrementalClassifierEvent instance.

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

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

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

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.

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.

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

Computes entropy for an array of integers.

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

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

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

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

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

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.ADTree

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

initDebugVektorsInput(). Method in class weka.clusterers.XMeans

Initialises the debug vektor input.

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

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.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.YongSplitInfo

Resets the object of split information

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

Resets the object of split information

initializeRanges(). Method in class weka.core.Instances

Initializes the ranges using all instances of the dataset.

initializeRanges(Instances, int[]). Static method in class weka.clusterers.XMeans

Function should be in the Instances class!! Initializes the minimum and maximum values based on all instances.

initializeRanges(int[]). Method in class weka.core.Instances

Initializes the ranges of a subset of the instances of this dataset.

initializeRangesEmpty(int, double[][]). Method in class weka.core.Instances

Used to initialize the ranges.

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

Initializes internal data fields, i.e.

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).

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

Returns the inner product of two DoubleVectors

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

This unit is an input unit.

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

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

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

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

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

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.AllFilter

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.NominalToBinary

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.AttributeSelection

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.Remove

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.ReplaceMissingValues

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.MergeTwoValues

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.AddNoise

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.attribute.NumericToBinary

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.RemoveUseless

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.Standardize

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.Obfuscate

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.NominalToBinary

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.MakeIndicator

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.instance.NonSparseToSparse

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.filters.unsupervised.instance.Resample

Input an instance for filtering.

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

Input an instance for filtering.

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

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

Sets the format of the input instances.

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

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

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

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

inRanges(Instance, double[][]). Static method in class weka.core.Instances

Test if an instance is within the given ranges.

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

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

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

Inserts an element into the set.

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.

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

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

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

Inserts an element at the given position.

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

Traverses the tree and installs linear models at each node.

Instance class weka.core.Instance.

Class for handling an instance.

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

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

Constructor that inititalizes instance variable with given values.

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

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

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

Returns the instance at the given position.

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.

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 class weka.gui.streams.InstanceEvent.

An event encapsulating an instance stream event.

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

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

Creates a new InstanceEvent instance.

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

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

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

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

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

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

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

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

Instances class weka.core.Instances.

Class for handling an ordered set of weighted 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(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(String, FastVector, int). Constructor for class weka.core.Instances

Creates an empty set of instances.

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

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

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.

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

intCount. Variable in class weka.core.AttributeStats

The number of int-like values

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

Constructs a vector given an int array

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

Constructs an n-vector of a constant

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.Remove

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.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.RemoveRange

Returns the tip text for this property

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

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.

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

Returns true if a database connection is active.

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

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.classifiers.lazy.kstar.KStarCache.CacheTable

Tests if this hashtable maps no keys to values.

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

Check if the matrix 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.DiscreteFunction

Returns true if it is empty.

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

Whether the given string has a hierachy structure with the seperators

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.

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

Whether the current position is a leaf

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

Tests if a specific value is "missing".

isMissing(int). 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.

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.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.

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

Returns true since this editor is paintable.

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

Indicates whether the object can be represented graphically.

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

Returns whether the attribute values are equally spaced.

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 class weka.experiment.DatabaseResultListener

Always says a result is required.

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

Always says a result is required.

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

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

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.DatabaseResultProducer

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

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.

isValid(). Method in class weka.core.KDTree

Returns true if valid flag is true.

ItemSet class weka.associations.ItemSet.

Class for storing a set of items.

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

Constructor

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

Performs the action associated with the ItemEvent.

IterativeClassifier interface weka.classifiers.IterativeClassifier.

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

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