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I

IB1 class weka.classifiers.IB1.
IB1-type classifier.
IB1(). Constructor for class weka.classifiers.IB1
IBk class weka.classifiers.IBk.
K-nearest neighbour classifier.
IBk(). Constructor for class weka.classifiers.IBk
IB1 classifer.
IBk(int). Constructor for class weka.classifiers.IBk
IBk classifier.
Id3 class weka.classifiers.Id3.
Class implementing an Id3 decision tree classifier.
Id3(). Constructor for class weka.classifiers.Id3
Impurity class weka.classifiers.m5.Impurity.
Class for handling the impurity values when spliting the instances
Impurity(int, int, Instances, int). Constructor for class weka.classifiers.m5.Impurity
Constructs an Impurity object containing the impurity values of partitioning the instances using an attribute
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.m5.Impurity
Incrementally computes the impurirty values
incremental(Measures). Method in class weka.classifiers.m5.Measures
Adds up performance measures for cross-validation
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.
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.
info(int[]). Static method in class weka.core.Utils
Computes entropy for an array of integers.
infoGain(). Method in class weka.classifiers.j48.BinC45Split
Returns (C4.5-type) information gain for the generated split.
infoGain(). Method in class weka.classifiers.j48.C45Split
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.j48.InfoGainSplitCrit.
Class for computing the information gain for a given distribution.
InfoGainSplitCrit(). Constructor for class weka.classifiers.j48.InfoGainSplitCrit
initClassifier(Instances). Method in interface weka.classifiers.IterativeClassifier
Inits an iterative classifier.
initClassifier(Instances). Method in class weka.classifiers.adtree.ADTree
Sets up the tree ready to be trained, using two-class optimized method.
INITIAL_STEP. Static variable in interface weka.classifiers.kstar.KStarConstants
initialize(). Method in class weka.classifiers.CostMatrix
Sets the costs to default values (i.e.
initialize(). Method in class weka.classifiers.j48.Distribution
Sets all counts to zero.
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(Instances). Method in class weka.classifiers.m5.Options
Initializes for constucting model trees
initialize(int, int, int). Method in class weka.classifiers.m5.SplitInfo
Resets the object of split information
INPUT. Static variable in class weka.classifiers.neural.NeuralConnection
This unit is an input unit.
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.SpreadSubsampleFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.InstanceFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.AbstractTimeSeriesFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.SwapAttributeValuesFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.StringToNominalFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.EmptyAttributeFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.NormalizationFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.SparseToNonSparseFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.MergeTwoValuesFilter
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.CopyAttributesFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.ResampleFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.NumericTransformFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.NonSparseToSparseFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.AttributeTypeFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.ObfuscateFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.NominalToBinaryFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.ReplaceMissingValuesFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.AddFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.AttributeSelectionFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.FirstOrderFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.NumericToBinaryFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.MakeIndicatorFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.AttributeExpressionFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.AttributeFilter
Input an instance for filtering.
input(Instance). Method in class weka.filters.DiscretizeFilter
Input an instance for filtering.
input(Instance). Method in class weka.gui.streams.InstanceSavePanel
input(Instance). Method in class weka.gui.streams.InstanceViewer
input(Instance). Method in class weka.gui.streams.InstanceJoiner
input(Instance). Method in class weka.gui.streams.InstanceCounter
input(Instance). Method in class weka.gui.streams.InstanceTable
inputFormat(Instances). Method in class weka.filters.Filter
inputFormat(Instances). Method in class weka.gui.streams.InstanceSavePanel
inputFormat(Instances). Method in class weka.gui.streams.InstanceViewer
inputFormat(Instances). Method in class weka.gui.streams.InstanceJoiner
Sets the format of the input instances.
inputFormat(Instances). Method in class weka.gui.streams.InstanceCounter
inputFormat(Instances). Method in class weka.gui.streams.InstanceTable
insert(double, double, double). Method in class weka.classifiers.kstar.KStarCache.CacheTable
Inserts a new entry in the hashtable using the specified key.
insert(double, double, double). Method in class weka.classifiers.kstar.LightHashTable
Inserts a new entry in the hashtable using the specified key.
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.
insignificant(double, Instances). Method in class weka.classifiers.m5.Function
Detects the most insignificant variable in the funcion
Instance class weka.core.Instance.
Class for handling an instance.
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.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
InstanceFilter class weka.filters.InstanceFilter.
Filters instances according to the value of an attribute.

Valid filter-specific options are:

-C num
Choose attribute to be used for selection (default last).

-S num
Numeric value to be used for selection on numeric attribute.

InstanceFilter(). Constructor for class weka.filters.InstanceFilter
Default constructor
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.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.InstanceViewer
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.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.adtree.Splitter
Gets the subset of instances that apply to a particluar branch of the split.
instancesDownBranch(int, Instances). Method in class weka.classifiers.adtree.TwoWayNominalSplit
Gets the subset of instances that apply to a particluar branch of the split.
instancesDownBranch(int, Instances). Method in class weka.classifiers.adtree.TwoWayNumericSplit
Gets the subset of instances that apply to a particluar branch of the split.
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
invertSelectionTipText(). Method in class weka.filters.CopyAttributesFilter
Returns the tip text for this property
invertSelectionTipText(). Method in class weka.filters.AttributeFilter
Returns the tip text for this property
invertSelectionTipText(). Method in class weka.filters.DiscretizeFilter
Returns the tip text for this property
isConnected(). Method in class weka.experiment.DatabaseUtils
Returns true if a database connection is active.
isEmpty(). Method in class weka.classifiers.kstar.KStarCache.CacheTable
Tests if this hashtable maps no keys to values.
isEmpty(). Method in class weka.classifiers.kstar.LightHashTable
Tests if this hashtable maps no keys to values.
isInRange(int). Method in class weka.core.Range
Gets whether the supplied cardinal number is included in the current range.
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.InstanceFilter
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.InstanceFilter
Returns true if selection attribute is numeric.
isOutputFormatDefined(). Method in class weka.filters.Filter
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
Returns true to indicate that we can paint a representation of the string array
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.
isString(). Method in class weka.core.Attribute
Tests if the attribute is a string.
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.GenericObjectEditor.GOEPanel
When the chooser selection is changed, ensures that the Object is changed appropriately.
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.
Ivector class weka.classifiers.m5.Ivector.
Class for handling integer vector
Ivector(). Constructor for class weka.classifiers.m5.Ivector

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
All Packages  Class Hierarchy