Uses of Class
weka.core.Attribute

Packages that use Attribute

weka.associations
weka.classifiers.functions
weka.classifiers.meta
weka.classifiers.rules
weka.classifiers.trees
weka.classifiers.trees.lmt
weka.core
weka.core.converters
weka.filters.supervised.attribute
weka.gui.visualize

Uses of Attribute in weka.associations

Methods in weka.associations with parameters of type Attribute

private Predicate

Tertius.buildPredicate(Instances instances, Attribute attr, boolean isClass) Build the predicate corresponding to an attribute.

Uses of Attribute in weka.classifiers.functions

Fields in weka.classifiers.functions declared as Attribute

private Attribute	SimpleLinearRegression.m_attribute The chosen attribute
private Attribute	SMO.m_classAttribute The class attribute

Uses of Attribute in weka.classifiers.meta

Fields in weka.classifiers.meta declared as Attribute

protected Attribute	LogitBoost.m_ClassAttribute The actual class attribute (for getting class names)
private Attribute	MultiClassClassifier.m_ClassAttribute Internal copy of the class attribute for output purposes
protected Attribute	RacedIncrementalLogitBoost.m_ClassAttribute The actual class attribute (for getting class names)
private Attribute	OrdinalClassClassifier.m_ClassAttribute Internal copy of the class attribute for output purposes

Uses of Attribute in weka.classifiers.rules

Fields in weka.classifiers.rules declared as Attribute

protected Attribute	ConjunctiveRule.Antd.att The attribute of the antecedent
private Attribute	ConjunctiveRule.m_ClassAttribute The class attribute of the data
private Attribute	OneR.OneRRule.m_class The class attribute.
private Attribute	OneR.OneRRule.m_attr Attribute to test
private Attribute	ZeroR.m_Class The class attribute.
private Attribute	Ridor.RidorRule.m_ClassAttribute The class attribute of the data
protected Attribute	Ridor.Antd.att
private Attribute	JRip.m_Class The class attribute of the data
protected Attribute	JRip.Antd.att
private Attribute	Ridor.m_Class The class attribute of the data

Methods in weka.classifiers.rules that return Attribute

Attribute	ConjunctiveRule.Antd.getAttr()
Attribute	Ridor.Antd.getAttr()
Attribute	JRip.Antd.getAttr()

Methods in weka.classifiers.rules with parameters of type Attribute

java.lang.String	JRip.RipperRule.toString(Attribute classAttr) Prints this rule
OneR.OneRRule	OneR.newRule(Attribute attr, Instances data) Create a rule branching on this attribute.
OneR.OneRRule	OneR.newNominalRule(Attribute attr, Instances data, int[] missingValueCounts) Create a rule branching on this nominal attribute.
OneR.OneRRule	OneR.newNumericRule(Attribute attr, Instances data, int[] missingValueCounts) Create a rule branching on this numeric attribute
private static boolean	Prism.isMentionedIn(Attribute attr, Prism.Test t) Is this attribute mentioned in the rule?

Constructors in weka.classifiers.rules with parameters of type Attribute

ConjunctiveRule.Antd(Attribute a, double[] unc)
Constructor for nominal class

ConjunctiveRule.Antd(Attribute a, double uncoveredWtSq, double uncoveredWtVl, double uncoveredWts)

ConjunctiveRule.NumericAntd(Attribute a, double[] unc)

ConjunctiveRule.NumericAntd(Attribute a, double sq, double vl, double wts)

ConjunctiveRule.NominalAntd(Attribute a, double[] unc)

ConjunctiveRule.NominalAntd(Attribute a, double sq, double vl, double wts)

OneR.OneRRule(Instances data, Attribute attribute)
Constructor for nominal attribute.

OneR.OneRRule(Instances data, Attribute attribute, int nBreaks)
Constructor for numeric attribute.

Ridor.Antd(Attribute a)

Ridor.NumericAntd(Attribute a)

JRip.Antd(Attribute a)

JRip.NumericAntd(Attribute a)

JRip.NominalAntd(Attribute a)

Ridor.NominalAntd(Attribute a)

Uses of Attribute in weka.classifiers.trees

Fields in weka.classifiers.trees declared as Attribute

private Attribute	Id3.m_Attribute Attribute used for splitting.
private Attribute	Id3.m_ClassAttribute Class attribute of dataset.

Methods in weka.classifiers.trees with parameters of type Attribute

private double	Id3.computeInfoGain(Instances data, Attribute att) Computes information gain for an attribute.
private Instances[]	Id3.splitData(Instances data, Attribute att) Splits a dataset according to the values of a nominal attribute.
private java.lang.String	DecisionStump.sourceClass(Attribute c, double[] dist)

Uses of Attribute in weka.classifiers.trees.lmt

Fields in weka.classifiers.trees.lmt declared as Attribute

protected Attribute

ResidualSplit.m_attribute The attribute selected for the split

Uses of Attribute in weka.core

Methods in weka.core that return Attribute

Attribute	Instance.attribute(int index) Returns the attribute with the given index.
Attribute	Instance.attributeSparse(int indexOfIndex) Returns the attribute with the given index.
Attribute	Instance.classAttribute() Returns class attribute.
(package private) Attribute	Attribute.copy(java.lang.String newName) Produces a shallow copy of this attribute with a new name.
Attribute	SparseInstance.attributeSparse(int indexOfIndex) Returns the attribute associated with the internal index.
Attribute	Instances.attribute(int index) Returns an attribute.
Attribute	Instances.attribute(java.lang.String name) Returns an attribute given its name.
Attribute	Instances.classAttribute() Returns the class attribute.

Methods in weka.core with parameters of type Attribute

boolean	Instance.isMissing(Attribute att) Tests if a specific value is "missing".
void	Instance.setMissing(Attribute att) Sets a specific value to be "missing".
void	Instance.setValue(Attribute att, double value) Sets a specific value in the instance to the given value (internal floating-point format).
void	Instance.setValue(Attribute att, java.lang.String value) Sets a value of an nominal or string attribute to the given value.
java.lang.String	Instance.stringValue(Attribute att) Returns the string value of a nominal, string, or date attribute for the instance.
java.lang.String	Instance.toString(Attribute att) Returns the description of one value of the instance as a string.
double	Instance.value(Attribute att) Returns an instance's attribute value in internal format.
void	ClassRemoveableInstances.insertAttributeAt(Attribute att, int position) Inserts an attribute at the given position (0 to numAttributes()) and sets all values to be missing.
int	Attribute.addStringValue(Attribute src, int index) Adds a string value to the list of valid strings for attributes of type STRING and returns the index of the string.
void	Instances.deleteWithMissing(Attribute att) Removes all instances with missing values for a particular attribute from the dataset.
double	Instances.meanOrMode(Attribute att) Returns the mean (mode) for a numeric (nominal) attribute as a floating-point value.
int	Instances.numDistinctValues(Attribute att) Returns the number of distinct values of a given attribute.
void	Instances.renameAttribute(Attribute att, java.lang.String name) Renames an attribute.
void	Instances.renameAttributeValue(Attribute att, java.lang.String val, java.lang.String name) Renames the value of a nominal (or string) attribute value.
void	Instances.setClass(Attribute att) Sets the class attribute.
void	Instances.sort(Attribute att) Sorts the instances based on an attribute.
double	Instances.variance(Attribute att) Computes the variance for a numeric attribute.
void	Instances.insertAttributeAt(Attribute att, int position) Inserts an attribute at the given position (0 to numAttributes()) and sets all values to be missing.

Uses of Attribute in weka.core.converters

Methods in weka.core.converters with parameters of type Attribute

protected void	HierarchicalCostMatrix.init(Attribute nominalClasses, ClassHierarchy hierarchy) Inits the fields according to the given classes and hierarchy.
protected void	HierarchicalCostMatrix.adjust(Attribute nominalClasses, ClassHierarchy hierarchy) Adjusts the costMatrix for the given classes, and hierarchy, using the currently set multiplier.

Constructors in weka.core.converters with parameters of type Attribute

HierarchicalCostMatrix(Attribute nominalClasses, ClassHierarchy hierarchy)
Creates a hierarchical cost matrix using default multiplier.

HierarchicalCostMatrix(Attribute nominalClasses, ClassHierarchy hierarchy, double multiplier)
Creates a hierarchical cost matrix using given multiplier.

Uses of Attribute in weka.filters.supervised.attribute

Fields in weka.filters.supervised.attribute declared as Attribute

private Attribute

ClassOrder.m_ClassAttribute Class attribute of the data

Uses of Attribute in weka.gui.visualize

Fields in weka.gui.visualize declared as Attribute

protected Attribute

AttributePanel.AttributeSpacing.m_attrib The attribute itself.

Constructors in weka.gui.visualize with parameters of type Attribute

AttributePanel.AttributeSpacing(Attribute a, int aind)
This constructs the bar with the specified attribute and sets its index to be used for selecting by the mouse.