weka.core

Interface AdditionalMeasureProducer

All Known Implementing Classes:

AdditiveRegression, AttributeSelectedClassifier, AveragingResultProducer, Bagging, BallTree, BayesNet, BayesNetGenerator, BIFReader, ClassifierSplitEvaluator, CostSensitiveClassifierSplitEvaluator, CoverTree, CrossValidationResultProducer, CrossValidationSplitResultProducer, DatabaseResultProducer, DecisionTable, DensityBasedClustererSplitEvaluator, EditableBayesNet, ExplicitTestsetResultProducer, IBk, InputMappedClassifier, J48, JRip, KDTree, LearningRateResultProducer, LinearNNSearch, LMT, M5Base, M5P, M5Rules, NearestNeighbourSearch, PART, PerformanceStats, RandomForest, RandomSplitResultProducer, RegressionSplitEvaluator, REPTree, SimpleLogistic, SMOreg, TreePerformanceStats

public interface AdditionalMeasureProducer

Interface to something that can produce measures other than those calculated by evaluation modules.

Version:

$Revision: 8034 $

Author:

Mark Hall (mhall@cs.waikato.ac.nz)

Method Summary

Methods

Modifier and Type	Method and Description
Enumeration	enumerateMeasures() Returns an enumeration of the measure names.
double	getMeasure(String measureName) Returns the value of the named measure

Method Detail

enumerateMeasures

Enumeration enumerateMeasures()

Returns an enumeration of the measure names. Additional measures must follow the naming convention of starting with "measure", eg. double measureBlah()

Returns:

an enumeration of the measure names

getMeasure

double getMeasure(String measureName)

Returns the value of the named measure

Parameters:

measureName - the name of the measure to query for its value

Returns:

the value of the named measure

Throws:

IllegalArgumentException - if the named measure is not supported