Uses of Class
netkit.graph.AttributeCategorical

Packages that use AttributeCategorical

netkit.classifiers
netkit.classifiers.io
netkit.graph
netkit.util

Uses of AttributeCategorical in netkit.classifiers

Fields in netkit.classifiers declared as AttributeCategorical

protected AttributeCategorical

ClassifierImp.attribute

Methods in netkit.classifiers that return AttributeCategorical

AttributeCategorical	NetworkLearning.getAttribute()
AttributeCategorical	Estimate.getAttribute()
AttributeCategorical	DataView.getAttribute()
AttributeCategorical	Classification.getAttribute()

Methods in netkit.classifiers with parameters of type AttributeCategorical

void	NetworkLearning.setAttribute(AttributeCategorical a)

Constructors in netkit.classifiers with parameters of type AttributeCategorical

Classification(Graph graph, java.lang.String nodeType, AttributeCategorical attribute)

DataView(Graph g, java.lang.String nodeType, AttributeCategorical attrib)

DataView(Graph g, java.lang.String nodeType, AttributeCategorical attrib, long seed)

DataView(Graph g, java.lang.String nodeType, AttributeCategorical attrib, long seed, boolean replacement, boolean stratified, boolean pruneZeroKnowledge)

DataView(Graph g, java.lang.String nodeType, AttributeCategorical attrib, long seed, boolean replacement, boolean stratified, boolean pruneZeroKnowledge, boolean pruneSingletons, boolean sampleUnknown)

Estimate(Graph graph, java.lang.String nodeType, AttributeCategorical attribute)

Uses of AttributeCategorical in netkit.classifiers.io

Methods in netkit.classifiers.io with parameters of type AttributeCategorical

Classification	ReadClassificationGeneric.readClassification(Graph graph, java.lang.String nodeType, AttributeCategorical attribute, java.io.File input) Creates a new Classification object based on the graph, nodeType and attribute and then calls the generic readClassification method.
Classification	ReadClassification.readClassification(Graph graph, java.lang.String nodeType, AttributeCategorical attribute, java.io.File input) Read from a given file a estimate of classifications for nodes in the given graph.
Estimate	ReadEstimateRainbow.readEstimate(Graph graph, java.lang.String nodeType, AttributeCategorical attribute, java.io.File input) Create a new Estimate object and call the more general readEstimate method.
Estimate	ReadEstimate.readEstimate(Graph graph, java.lang.String nodeType, AttributeCategorical attribute, java.io.File input) Read from a given file an estimate for nodes in the given graph.
static double[]	ReadPrior.readPrior(java.io.BufferedReader br, AttributeCategorical attribute) Reads in a file using the file format mentioned in the header.
static double[]	ReadPrior.readPrior(java.io.File f, AttributeCategorical attribute) Reads in a file using the file format mentioned in the header.

Uses of AttributeCategorical in netkit.graph

Subclasses of AttributeCategorical in netkit.graph

class	AttributeExpandableCategorical This class handles attributes that are of type CATEGORICAL.
class	AttributeFixedCategorical This class handles attributes that are of type CATEGORICAL.
class	AttributeKey This class handles attributes that are of type KEY.

Methods in netkit.graph with parameters of type AttributeCategorical

AttributeCategoricalMetaInfo	Graph.getAttributeMetaInfo(java.lang.String nodeTypeName, AttributeCategorical attribute) Factory method which gets the meta info object for the supplied nodeType name and attribute.
HistogramCategorical	Graph.getClassReferenceVector(AttributeCategorical sourceAttrib, int sourceAttribValue, AttributeCategorical destAttrib, java.util.List<EdgeType> path, boolean normalized) Gets a class reference vector for the supplied parameters; returns a histogram on the results.
HistogramCategorical	AttributeCategoricalMetaInfo.getClassReferenceVector(AttributeCategorical sourceAttrib, int sourceAttribValue, java.util.List<EdgeType> path, boolean normalized) Get the class reference vector from the graph for this attribute.
HistogramCategorical	Graph.getUnconditionalReferenceVector(AttributeCategorical destAttrib, java.util.List<EdgeType> path, boolean normalized) Gets an unconditional reference vector for the supplied parameters; returns a histogram on the results.

Constructors in netkit.graph with parameters of type AttributeCategorical

AttributeCategoricalMetaInfo(AttributeCategorical attrib, Attributes attributes, Graph graph)
Construct an object of this type.

Uses of AttributeCategorical in netkit.util

Methods in netkit.util that return AttributeCategorical

AttributeCategorical

HistogramCategorical.getAttribute() Gets the attribute associated with this histogram.

Methods in netkit.util with parameters of type AttributeCategorical

double[]	GraphMetrics.calculateEdgeBasedAssortativityCoeff(java.lang.String nodeType, AttributeCategorical attribute)
double[]	GraphMetrics.calculateEdgeBasedAssortativityCoeff(java.lang.String nodeType, AttributeCategorical attribute, EdgeType et)
double[]	GraphMetrics.calculateNodeBasedAssortativityCoeff(java.lang.String nodeType, AttributeCategorical attribute)
double[]	GraphMetrics.calculateNodeBasedAssortativityCoeff(java.lang.String nodeType, AttributeCategorical attribute, EdgeType et)

Constructors in netkit.util with parameters of type AttributeCategorical

ConfusionMatrix(AttributeCategorical attribute)

HistogramCategorical(double[] values, AttributeCategorical attribute)
This constructor is a convenience for accepting all values without any minimum occurance.

HistogramCategorical(double[] values, AttributeCategorical attribute, int minOccurance)
This constructor creates a histogram object given an array of values and an attribute type.

HistogramCategorical(Edge[] edges, AttributeCategorical attribute)
This constructor is a convenience for accepting all edge values without any minimum occurance.

HistogramCategorical(Edge[] edges, AttributeCategorical attribute, int minOccurance)
This constructor creates a histogram object given an array of edges and an attribute from which to get the values.

HistogramCategorical(Node[] nodes, AttributeCategorical attribute)
This constructor is a convenience for accepting all node values without any minimum occurance.

HistogramCategorical(Node[] nodes, AttributeCategorical attribute, int minOccurance)
This constructor creates a histogram object given an array of nodes and an attribute from which to get the values.