Summary

[ summary] [ package list] [ test cases]

Note: failuresare anticipated and checked for with assertions while errorsare unanticipated.

Package List

[ summary] [ package list] [ test cases]

Note: package statistics are not computed recursively, they only sum up all of its testsuites numbers.

yawn.envs.synthetic

Class		Tests	Errors	Failures	Success Rate	Time
	CircleInTheSquareEnvironmentTest	2	0	1	50.00%	1.609

yawn.io.wrappers

Class		Tests	Errors	Failures	Success Rate	Time
	ExperimentTest	1	0	0	100.00%	1.234

yawn.io.xml

Class		Tests	Errors	Failures	Success Rate	Time
	CastorXmlSerializerTest	1	0	0	100.00%	0.234

yawn.nn.appart

Class		Tests	Errors	Failures	Success Rate	Time
	AppArtTest	1	0	1	0.00%	2.204

yawn.nn.committee

Class		Tests	Errors	Failures	Success Rate	Time
	NetworkCommitteeTest	1	0	1	0.00%	16.922

yawn.nn.fuzzyartmap

Class		Tests	Errors	Failures	Success Rate	Time
	FuzzyArtMapTest	1	0	1	0.00%	0.391

yawn.nn.mlp

Class		Tests	Errors	Failures	Success Rate	Time
	MultiLayerPerceptronTest	1	0	1	0.00%	0.469

yawn.optim.genetic

Class		Tests	Errors	Failures	Success Rate	Time
	GeneticParameterFitterTest	1	0	1	0.00%	11.547

yawn.util

Class		Tests	Errors	Failures	Success Rate	Time
	PatternTest	5	0	0	100.00%	0.015

Test Cases

[ summary] [ package list] [ test cases]

CircleInTheSquareEnvironmentTest

	testGetTrainingDataset	0.86
	testDatasetStats	0.67
Are the train and test sets output means similar?

ExperimentTest

testPersistExperiment

1.20

CastorXmlSerializerTest

testMultiLayerPerceptron

0.20

AppArtTest

	testTrain	2.20
Prediction error `NaN´ should be less than the required mark `0.08´.

NetworkCommitteeTest

	testTrain	16.91
Prediction error `0.0831754706437498´ should be less than the required mark `0.08´.

FuzzyArtMapTest

	testTrain	0.38
Prediction error `0.27´ should be less than the required mark `0.08´.

MultiLayerPerceptronTest

	testTrain	0.47
Prediction error `0.7205403016775016´ should be less than the required mark `0.08´.

GeneticParameterFitterTest

	testTrain	11.53
Prediction error `0.085´ should be less than the required mark `0.08´.

PatternTest

	testDist	0.00
	testInnerProduct	0.00
	testNorm1	0.00
	testNorm2	0.00
	testRandomize	0.00

Failure details

	testDatasetStats
Are the train and test sets output means similar?
junit.framework.AssertionFailedError: Are the train and test sets output means similar? at yawn.envs.synthetic.CircleInTheSquareEnvironmentTest.testDatasetStats(CircleInTheSquareEnvironmentTest.java:88)

	testTrain
Prediction error `NaN´ should be less than the required mark `0.08´.
junit.framework.AssertionFailedError: Prediction error `NaN´ should be less than the required mark `0.08´. at yawn.nn.AbstractCircleInTheSquareNetworkTest.testTrain(AbstractCircleInTheSquareNetworkTest.java:54)

	testTrain
Prediction error `0.0831754706437498´ should be less than the required mark `0.08´.
junit.framework.AssertionFailedError: Prediction error `0.0831754706437498´ should be less than the required mark `0.08´. at yawn.nn.AbstractCircleInTheSquareNetworkTest.testTrain(AbstractCircleInTheSquareNetworkTest.java:54)

	testTrain
Prediction error `0.27´ should be less than the required mark `0.08´.
junit.framework.AssertionFailedError: Prediction error `0.27´ should be less than the required mark `0.08´. at yawn.nn.AbstractCircleInTheSquareNetworkTest.testTrain(AbstractCircleInTheSquareNetworkTest.java:54)

	testTrain
Prediction error `0.7205403016775016´ should be less than the required mark `0.08´.
junit.framework.AssertionFailedError: Prediction error `0.7205403016775016´ should be less than the required mark `0.08´. at yawn.nn.AbstractCircleInTheSquareNetworkTest.testTrain(AbstractCircleInTheSquareNetworkTest.java:54)

	testTrain
Prediction error `0.085´ should be less than the required mark `0.08´.
junit.framework.AssertionFailedError: Prediction error `0.085´ should be less than the required mark `0.08´. at yawn.nn.AbstractCircleInTheSquareNetworkTest.testTrain(AbstractCircleInTheSquareNetworkTest.java:54)