Uses of Class
netkit.classifiers.Classification

Packages that use Classification

netkit
netkit.classifiers
netkit.classifiers.active
netkit.classifiers.active.graphfunctions
netkit.classifiers.io
netkit.classifiers.relational
netkit.graph.edgecreator
netkit.graph.io
netkit.inference
netkit.util

Uses of Classification in netkit

Methods in netkit that return Classification

Classification

GraphStat.getPajekColor()

Uses of Classification in netkit.classifiers

Methods in netkit.classifiers that return Classification

Classification	Classification.asBinaryClassification(java.lang.String label)
Classification	Estimate.asClassification()
Classification	Classification.clone()
Classification	NetworkLearning.getKnown()
Classification	NetworkLearning.getTest()
Classification	NetworkLearning.getTruth()
Classification	DataView.getTruth()

Methods in netkit.classifiers with parameters of type Classification

boolean	ClassifierImp.classify(Node node, Classification result)
boolean	Classifier.classify(Node node, Classification result)
double	IncrementalAssessment.getIncrementalAccuracy(Node n, Classification truth) What would be the new accuracy if this node is labeled (after the initial model has been induced)?
DataSplit	DataView.getSplit(Classification known)
DataSplit	DataView.getSplit(Classification known, Classification test)
void	DataView.setClassification(Classification known)
void	NetworkLearning.setKnown(Classification k)
void	NetworkLearning.setTest(Classification t)
void	NetworkLearning.setTruth(Classification t)
void	DataView.setTruth(Classification truth)

Constructors in netkit.classifiers with parameters of type Classification

Estimate(Classification labels)

Uses of Classification in netkit.classifiers.active

Methods in netkit.classifiers.active that return Classification

Classification

GraphCentralityLabeling.getLabels()

Uses of Classification in netkit.classifiers.active.graphfunctions

Fields in netkit.classifiers.active.graphfunctions declared as Classification

protected Classification

ScoringFunction.labels

Uses of Classification in netkit.classifiers.io

Methods in netkit.classifiers.io that return Classification

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.

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

void	PrintEstimateWriter.print(Node node, Estimate e, Classification known) Print an estimate of the given node using the given output format and the given current estimates and true labels.
void	PrintEstimateWriter.println(Node node, Estimate e, Classification known) Print an estimate line of the given node using the given output format and the given current estimates and true labels.
void	ReadClassificationGeneric.readClassification(Graph graph, Classification labels, java.io.File input) Reads in a set of classifications from the given file, assuming that each line is of the form 'nodeID,class'.
void	ReadClassification.readClassification(Graph graph, Classification labels, java.io.File input) Read from a given file a estimate of classifications for nodes in the given graph.
java.lang.String	PrintEstimateWriter.toString(Node node, Estimate e, Classification known) The equivalent of a print, where the output has been set to a string to be returned.

Uses of Classification in netkit.classifiers.relational

Methods in netkit.classifiers.relational with parameters of type Classification

double[]

Harmonic.getERM(Node n, Classification truth)

Uses of Classification in netkit.graph.edgecreator

Methods in netkit.graph.edgecreator that return Classification

Classification

EdgeCreatorImp.getLabeledNodes(DataSplit split, boolean useTrueAssort) Get a classification object which contains all the nodes to be used to calculate assortativity

Uses of Classification in netkit.graph.io

Methods in netkit.graph.io with parameters of type Classification

static void	PajekGraph.saveGraph(Graph graph, java.io.PrintWriter pw, Classification truth, Estimate pred, java.lang.String labelAttribute)
static void	PajekGraph.saveGraph(Graph graph, java.lang.String file, Classification truth, Estimate pred, java.lang.String labelAttribute) Save the given graph as a pajek graph, to the given file, using the classification and estimate and label.

Uses of Classification in netkit.inference

Methods in netkit.inference that return Classification

Classification

InferenceMethod.classify(NetworkClassifier networkClassifier, java.util.Iterator<Node> unknowns)

Methods in netkit.inference with parameters of type Classification

void	InferenceMethodListener.classify(Classification c, int[] unknown)
void	InferenceMethod.classify(NetworkClassifier networkClassifier, java.util.Iterator<Node> unknowns, Classification result)
void	InferenceMethod.notifyListeners(Classification c, int[] unknown)
void	InferenceMethod.setTruth(Classification truth)

Uses of Classification in netkit.util

Methods in netkit.util with parameters of type Classification

static double[]	GraphMetrics.calculateEdgeBasedAssortativityCoeff(Classification known)
static double[]	GraphMetrics.calculateEdgeBasedAssortativityCoeff(Classification known, EdgeType et)
static double[]	GraphMetrics.calculateNodeBasedAssortativityCoeff(Classification known)
static double[]	GraphMetrics.calculateNodeBasedAssortativityCoeff(Classification known, EdgeType et)

Constructors in netkit.util with parameters of type Classification

ConfusionMatrix(Estimate predictions, Classification truth)

ROC(Estimate predictions, Classification truth, int posClass)