uk.ac.ed.inf.enzml.mulan.learn
Class Evaluator

java.lang.Object
  mulan.evaluation.Evaluator
      uk.ac.ed.inf.enzml.mulan.learn.Evaluator

Direct Known Subclasses:

MulanCrossEvaluator

public class Evaluator
extends mulan.evaluation.Evaluator

Prepares the evaluation measures taking into consideration the dataset size. MicroAUC and MacroAUC are *not* calculated for datasets > 100,000 instances.

Version:

7 Apr 2011

Author:

Luna De Ferrari luna.deferrari-at-ed.ac.uk

Constructor Summary

Evaluator()

Method Summary

mulan.evaluation.Evaluation

evaluate(mulan.classifier.MultiLabelLearner learner, mulan.data.MultiLabelInstances data) Evaluates a MultiLabelLearner on given test data set.

Methods inherited from class mulan.evaluation.Evaluator

crossValidate, crossValidate, evaluate, setSeed, setStrict

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Evaluator

public Evaluator()

Method Detail

evaluate

public mulan.evaluation.Evaluation evaluate(mulan.classifier.MultiLabelLearner learner,
                                            mulan.data.MultiLabelInstances data)
                                     throws java.lang.IllegalArgumentException,
                                            java.lang.Exception

Evaluates a MultiLabelLearner on given test data set.

Overrides:

evaluate in class mulan.evaluation.Evaluator

Parameters:

learner - the learner to be evaluated

data - the data set for evaluation

Returns:

the evaluation result

Throws:

java.lang.IllegalArgumentException - if either of input parameters is null.

java.lang.Exception