jsat.classifiers.calibration

Interface BinaryScoreClassifier

All Superinterfaces:

Classifier, Cloneable, Serializable

All Known Implementing Classes:

ALMA2, ALMA2K, AROW, BOGD, CPM, DCD, DCDs, DCSVM, DUOL, EmphasisBoost, Forgetron, LSSVM, ModestAdaBoost, NHERD, OSKL, PassiveAggressive, Pegasos, PegasosK, Perceptron, PlattSMO, Projectron, RegressorToClassifier, ROMMA, SBP, SCW, STGD, SVMnoBias

public interface BinaryScoreClassifier
extends Classifier

Many algorithms linear a binary separation between two classes A and B by representing the target labels with a -1 ad 1. At prediction, the output is a real valued number - where the sign indicates the class label. This interface indicates that an algorithm conforms such behavior, and that the "0" class corresponds to the -1 label, and the "1" class corresponds to the 1 label.

Author:

Edward Raff

Method Summary

Modifier and Type	Method and Description
BinaryScoreClassifier	clone()
double	getScore(DataPoint dp) Returns the numeric score for predicting a class of a given data point, where the sign of the value indicates which class the data point is predicted to belong to.

Methods inherited from interface jsat.classifiers.Classifier

classify, supportsWeightedData, trainC, trainC

Method Detail

getScore

double getScore(DataPoint dp)

Returns the numeric score for predicting a class of a given data point, where the sign of the value indicates which class the data point is predicted to belong to.

Parameters:

dp - the data point to predict the class label of

Returns:

the score for the given data point

clone

BinaryScoreClassifier clone()

Specified by:

clone in interface Classifier