A B C D E F G I K L M N P R S T U V W X

T

TABLE_NAME - Static variable in class uk.ac.ed.inf.enzml.weka.ArffPropsTable

TABLE_ONE_NAME - Static variable in class test.dataharness.DataTableOneTest

TABLE_TWO_NAME - Static variable in class test.dataharness.DataTableThreeTest

TABLE_TWO_NAME - Static variable in class test.dataharness.DataTableTwoTest

tearDown() - Method in class test.mulan.learn.ResultsSaverTest

test - package test

test() - Method in class test.dataharness.TestProjectParametersTest

test.dataharness - package test.dataharness

test.mulan - package test.mulan

test.mulan.attributesfilter - package test.mulan.attributesfilter

test.mulan.learn - package test.mulan.learn

test.mulan.learn.database - package test.mulan.learn.database

test.mulan.learn.traintest - package test.mulan.learn.traintest

test.mulan.predict - package test.mulan.predict

test.weka - package test.weka

TEST_ARFF_DB_PROPS - Static variable in class test.dataharness.TestProjectParameters

TEST_ARFF_FILES_PATH - Static variable in class test.dataharness.TestProjectParameters

TEST_ARFF_ID - Static variable in class uk.ac.ed.inf.enzml.mulan.learn.ExperimentTable

the table column to store the arff file id

TEST_ARFF_PROPS_1 - Static variable in class test.dataharness.TestProjectParameters

TEST_ARFF_PROPS_2 - Static variable in class test.dataharness.TestProjectParameters

TEST_ARFF_PROPS_NO_XML - Static variable in class test.dataharness.TestProjectParameters

TEST_ARFF_PROPS_PATH - Static variable in class test.dataharness.TestProjectParameters

TEST_BASE_DATA_PATH - Static variable in class test.dataharness.TestProjectParameters

TEST_BASE_PATH - Static variable in class test.dataharness.TestProjectParameters

TEST_DATA_DIR - Static variable in class test.dataharness.TestProjectParameters

TEST_DB_CONN_PROPERTIES - Static variable in class test.dataharness.TestProjectParameters

TEST_MACHINE_LEARNING_PROPS - Static variable in class test.dataharness.TestProjectParameters

TEST_ML_PROPS_PATH - Static variable in class test.dataharness.TestProjectParameters

TEST_MODEL_FOLDER - Static variable in class test.dataharness.TestProjectParameters

TEST_PREDICTIONS_FOLDER - Static variable in class test.dataharness.TestProjectParameters

TEST_PROPS_PATH - Static variable in class test.dataharness.TestProjectParameters

TEST_RESULTS_FOLDER - Static variable in class test.dataharness.TestProjectParameters

TEST_ROLE - Static variable in class test.mulan.attributesfilter.AttributesFilteredArffTest

testANewFilteredFileContent(int, int, String[]) - Static method in class test.mulan.attributesfilter.AttributesFilteredArffTest

testArffName() - Method in class test.mulan.attributesfilter.AttributesFilteredArffTest

testCheckTrainTestEvalRow(Vector<TableRow>) - Static method in class test.mulan.learn.traintest.TrainTestEvaluatorTest

Executes generic tests (number of metrics etc.) on a table row containing evaluation results.

testCreateArffFileTable() - Method in class test.weka.ArffPropsTableManagerTest

testCreateAttribute() - Method in class test.weka.WekaTest

testCreateAttributeFactory() - Method in class test.mulan.attributesfilter.AttributesFilteredDataSetGeneratorTest

testCreateAttributesList() - Method in class test.mulan.MulanDataSetGeneratorTest

testCreateAttributeVector() - Method in class test.weka.WekaTest

testCreateEvaluationRecord() - Method in class test.mulan.learn.ResultsFormatterTest

testCreateExperimentsTable() - Method in class test.mulan.learn.database.MulanDbCreatorTest

testCreateInstance() - Method in class test.weka.WekaTest

testCreateInstances() - Method in class test.weka.WekaTest

testCreateNewTestArff() - Method in class test.mulan.attributesfilter.AttributesFilterTest

testCrossValidate1() - Method in class test.mulan.learn.CrossEvaluatorTest

testDatabase() - Method in class test.dataharness.DatabaseTest

testDataStatistics() - Method in class test.mulan.MulanDataSetGeneratorTest

testDataStatistics() - Method in class test.weka.DataSetWriterTest

testDbConn() - Method in class test.mulan.learn.database.MulanDbManagerTest

testDeserialize() - Method in class test.mulan.learn.SerializerTest

testEvalResultsInstance12() - Method in class test.mulan.learn.traintest.EvaluationMetricsTest

Train on instances 1 and 2 and test on instances 1 and 2: should have perfect precision/accuracy/recall

testEvalResultsTrainInst12TestInst3() - Method in class test.mulan.learn.traintest.EvaluationMetricsTest

Train on instances 1 and 2 and test on instances 3: should have zero precision/accuracy/recall

testEvaluation1() - Method in class test.mulan.learn.traintest.TrainTestEvaluatorTest

testEvaluationResults1(TableRow) - Static method in class test.mulan.learn.traintest.TrainTestEvaluatorTest

testFillInstances() - Method in class test.mulan.MulanInstancesFillerTest

testFillNonExistingInstances() - Method in class test.mulan.MulanInstancesFillerTest

testGenerateArffFileFromDb() - Method in class test.weka.ArffTest

testGenerateArffFileFromDb2() - Method in class test.mulan.MulanArffTest

public static String getExpectedMulanArff1() { return "@relation test_data\n\n" + MulanArffTest.ATT1_TO_STRING + "\n" + MulanArffTest.ATT2_TO_STRING + "\n" + MulanArffTest.ATT3_TO_STRING + "\n" + MulanArffTest.ATT4_TO_STRING + "\n" + MulanArffTest.ATT5_TO_STRING + "\n" + "@attribute class1 {0,1}\n" + "@attribute class2 {0,1}\n" + "@attribute class3 {0,1}\n" + "@attribute class4 {0,1}\n" + "\n@data\n" + "% " + DataOne.INST1 + "\n" + MulanArffTest.arffInstance1 + "\n" + "% " + DataOne.INST2 + "\n" + MulanArffTest.arffInstance2 + "\n" + "% " + DataOne.INST4 + "\n" + MulanArffTest.arffInstance4 + "\n" + "% " + DataOne.INSTATTVOID + "\n" + MulanArffTest.arffInstanceAttributeVoid + "\n" + "% " + DataOne.INSTCLASSATTVOID + "\n" + MulanArffTest.arffInstanceClassAttributeVoid + "\n" + "% " + DataOne.INSTCLASSVOID + "\n" + MulanArffTest.arffInstanceClassVoid; } public static String getExpectedMulanArff2() { String attributes = "@relation test_ec_data\n\n@attribute 1.-.-.- {0,1}\n@attribute 1.1.-.- {0,1}\n@attribute 1.1.1.- {0,1}\n@attribute 1.1.1.1 {0,1}\n@attribute 2.-.-.- {0,1}\n@attribute 2.2.-.- {0,1}\n@attribute 2.2.2.- {0,1}\n@attribute 2.2.2.2 {0,1}\n@attribute 3.-.-.- {0,1}\n@attribute 3.3.-.- {0,1}\n@attribute 3.3.3.- {0,1}\n@attribute 3.3.3.3 {0,1}\n@attribute att1 {0,1}\n@attribute att2 {0,1}\n@attribute att3 {0,1}\n@attribute att4 {0,1}\n@attribute att5 {0,1}\n\n"; String instances = "@data\n% inst1\n{0 1,1 1,2 1,3 1,12 1}\n% inst10\n{4 1,5 1,6 1,7 1,16 1}\n% inst11\n{4 1,5 1,6 1,7 1}\n% inst12\n{12 1}\n% inst13\n{}\n% inst2\n{4 1,5 1,6 1,7 1,14 1}\n% inst3\n{0 1,1 1,2 1,3 1,12 1}\n% inst4\n{4 1,5 1,6 1,7 1,14 1}\n% inst5\n{0 1,1 1,2 1,3 1,12 1}\n% inst6\n{4 1,5 1,6 1,7 1,14 1}\n% inst7\n{0 1,1 1,2 1,3 1,12 1}\n% inst8\n{4 1,5 1,6 1,7 1,14 1}\n% inst9\n{0 1,1 1,2 1,3 1,15 1}\n% instA\n{8 1,9 1,10 1,11 1,13 1}\n% instB\n{4 1,5 1,6 1,7 1,14 1}\n% instC\n{4 1,5 1,6 1,7 1,13 1,14 1}\n% inst_att_void\n{4 1,5 1,6 1,7 1}\n% inst_class_att_void\n{}\n% inst_class_void\n{13 1}"; return attributes + instances; }

testGenerateBinaryAttribute() - Method in class test.weka.AttributeFactoryTest

testGenerateNominalAttribute() - Method in class test.weka.AttributeFactoryTest

testGetArff() - Method in class test.weka.DataSetManagerTest

testGetArffPath() - Method in class test.mulan.learn.database.MulanDbReaderTest

testGetAttributes() - Method in class test.weka.DataSetGeneratorTest

testGetColumnDefinitions() - Method in class test.weka.ArffPropsTableTest

testGetColumnsList() - Method in class test.mulan.learn.ExperimentTableTest

testGetDataSetName() - Static method in class test.weka.DataSetManagerTest

testGetExampleBasedAccuracyMeasure() - Method in class test.mulan.learn.EvaluationParametersTest

testGetFilteredTestArffRecord() - Method in class test.mulan.learn.traintest.TrainTestExperimenterTest

testGetInstancesNamesFromFile() - Method in class test.mulan.MulanArffRecordTest

testGetLearnerBaseType() - Method in class test.mulan.learn.LearnerTest

testGetLearnerType() - Method in class test.mulan.learn.LearnerTest

testGetLernerFullName() - Method in class test.mulan.learn.LearnerTest

testGetMeasures() - Method in class test.mulan.learn.EvaluationParametersTest

testGetOptions() - Method in class test.weka.AttributeFactoryTest

testGetProperties1() - Method in class test.dataharness.ArffPropsOneTest

testGetProperties1() - Method in class test.dataharness.ArffPropsTwoTest

testGetPropertiesFilePath1() - Method in class test.dataharness.ArffPropsOneTest

testGetPropertiesFilePath2() - Method in class test.dataharness.ArffPropsTwoTest

testGetProperty1ValueFromTable() - Method in class test.weka.ArffPropsTableReaderTest

testGetResultsCanBeSaved() - Method in class test.mulan.learn.ResultsSaverTest

testGetStatistics() - Method in class test.weka.DataSetGeneratorTest

testGetTableField() - Method in class test.mulan.learn.ExperimentTableTest

testHeader(String) - Method in class test.mulan.predict.MulanPredictTest

testInitialisationKO() - Method in class test.weka.DataSetCheckerTest

No xml query property, the initialisation should fail *before* generating the arff and xml files (and not waste time in generating the arff file and then fail at the generation of the xml file)

testInitialisationOK() - Method in class test.weka.DataSetCheckerTest

testInstancesSection() - Method in class test.weka.DataSetWriterTest

testLoadDataMulan() - Method in class test.mulan.MulanDataSetDbLoaderTest

testLoadDataTableOne() - Method in class test.weka.DataSetDbLoaderTest

testLogHeader() - Method in class test.weka.DataSetWriterTest

testLogTail() - Method in class test.weka.DataSetWriterTest

testMetrics_Train_1_2_empty_Test_3(TableRow) - Static method in class test.mulan.learn.traintest.EvaluationMetricsTest

testMetrics_Train_1_2_Test_3(TableRow) - Static method in class test.mulan.learn.traintest.EvaluationMetricsTest

testMetricsTrain_1_2_Test_1_2(TableRow) - Static method in class test.mulan.learn.traintest.EvaluationMetricsTest

testNewTestsetFile() - Method in class test.mulan.attributesfilter.AttributesFilteredArffTest

testNewTrainsetFile() - Method in class test.mulan.attributesfilter.AttributesFilteredArffTest

testPrintPredictions() - Method in class test.mulan.predict.MulanPredictTest

testPrintPredictionsAttributesFiltered() - Method in class test.mulan.predict.MulanPredictTest

TestProjectParameters - Class in test.dataharness

TestProjectParameters() - Constructor for class test.dataharness.TestProjectParameters

TestProjectParametersTest - Class in test.dataharness

Class

TestProjectParametersTest() - Constructor for class test.dataharness.TestProjectParametersTest

testPropsFileIsReadable(String) - Method in class test.dataharness.ArffPropsFilesTest

testPropsFiles() - Method in class test.dataharness.ArffPropsFilesTest

testQueries() - Method in class test.dataharness.ArffPropsQueriesOneTest

testQueries(ArffProperties, String, String, String) - Static method in class test.dataharness.ArffPropsQueriesTest

Test queries

testQueries() - Method in class test.dataharness.ArffPropsQueriesTwoTest

testQueryResults(String, int, Vector<String>) - Static method in class test.dataharness.ArffPropsQueriesTest

testRun() - Method in class test.mulan.learn.ExperimenterTest

testRunningTime() - Method in class test.mulan.learn.CrossEvaluatorTest

public void testEvaluationResults() { MulanEvaluator evaluator = MulanEvaluatorTest.getMulanEvaluator(); assertFalse(evaluator == null); if (evaluator != null) { Evaluation[] results = evaluator.getEvaluationResults(); assertEquals(10, results.length); Evaluation e0 = results[0]; System.out.println(e0.toString()); java.util.List measures = e0.getMeasures(); assertEquals(22, measures.size()); // hamming loss Measure m0 = measures.get(0); assertEquals("Hamming Loss", m0.getName()); double value = m0.getValue(); System.out.println("MulanEvaluatorTest.

testSaveProperties1ToTable() - Method in class test.weka.ArffPropsTableManagerTest

testSaveResults() - Method in class test.mulan.learn.ResultsSaverTest

testSerializeMlkNN2() - Static method in class test.mulan.learn.SerializerTest

testSetAttributeValue() - Method in class test.weka.WekaTest

testSetClass() - Method in class test.weka.WekaTest

testTableContent() - Method in class test.dataharness.DataTableOneTest

testTableContent() - Method in class test.dataharness.DataTableThreeTest

testTableContent() - Method in class test.dataharness.DataTableTwoTest

testTableInstanceAttribute(String, String) - Method in class test.dataharness.CreateDataTable

testTableInstanceClass(String, String) - Method in class test.dataharness.CreateDataTable

testTrain_1_2_empty_Test_3() - Method in class test.mulan.learn.traintest.EvaluationMetricsTest

Train on instances 1 and 2 and empty and test on instances 3, which is empty once filtered

testWriteArff() - Method in class test.mulan.MulanDataSetManagerTest

testWriteInstance() - Method in class test.weka.InstancesFillerTest

public void testFillNonExistingInstances() { InstancesFactory factory = InstancesFactoryTest.instancesFactory(); SparseInstance instance = new SparseInstance(factory.getDataSet() .getAttributes().size()); // set the dataset (Instances) for the instance instance.setDataset(factory.getDataSet().getInstances()); // fill instance attribute values instance = factory.fillInstance("empty", instance); assertEquals("@attribute att1 {n,y}", instance.attribute(0).toString()); assertEquals("@attribute att3 {n,y}", instance.attribute(2).toString()); assertEquals(4, instance.classIndex()); assertEquals("NaN", Double.toString(instance.classValue())); assertEquals(4, instance.index(0)); assertEquals(5, instance.numAttributes()); assertEquals(1, instance.numValues()); assertEquals("{4 ?}", instance.toString()); }

testWriteOnDatabase() - Method in class test.weka.ArffPropsTableManagerTest

TIMESTAMP_FIELD - Static variable in class uk.ac.ed.inf.enzml.weka.ArffProperties

the timestamp field

toString() - Method in class uk.ac.ed.inf.enzml.mulan.learn.traintest.TrainTestExperimenterSerialized

toString() - Method in class uk.ac.ed.inf.enzml.weka.ArffProperties

TRAIN_ARFF_ID - Static variable in class uk.ac.ed.inf.enzml.mulan.learn.ExperimentTable

the table column to store the arff file id

TRAIN_ROLE - Static variable in class test.mulan.attributesfilter.AttributesFilteredArffTest

TrainTestEvaluator - Class in uk.ac.ed.inf.enzml.mulan.learn.traintest

Train/test evaluator.

TrainTestEvaluator(TrainTestExperimenter) - Constructor for class uk.ac.ed.inf.enzml.mulan.learn.traintest.TrainTestEvaluator

TrainTestEvaluatorSerialised - Class in uk.ac.ed.inf.enzml.mulan.learn.traintest

Class

TrainTestEvaluatorSerialised(TrainTestExperimenter, String) - Constructor for class uk.ac.ed.inf.enzml.mulan.learn.traintest.TrainTestEvaluatorSerialised

TrainTestEvaluatorTest - Class in test.mulan.learn.traintest

TrainTestEvaluatorTest() - Constructor for class test.mulan.learn.traintest.TrainTestEvaluatorTest

TrainTestExperimenter - Class in uk.ac.ed.inf.enzml.mulan.learn.traintest

Using Mulan (multi-label machine learning), this class initialises and executes Train-Test evaluation (two arff records are needed, for the training and testing files) (calling MulanTrainTestEvaluator).

TrainTestExperimenter(String, String, int, int, MulanLearner, String) - Constructor for class uk.ac.ed.inf.enzml.mulan.learn.traintest.TrainTestExperimenter

TrainTestExperimenterSerialized - Class in uk.ac.ed.inf.enzml.mulan.learn.traintest

Executes a train/test evaluation using a previously trained model saved on file.

TrainTestExperimenterSerialized(String, String, int, int, MulanLearner, String, String) - Constructor for class uk.ac.ed.inf.enzml.mulan.learn.traintest.TrainTestExperimenterSerialized

TrainTestExperimenterTest - Class in test.mulan.learn.traintest

TrainTestExperimenterTest() - Constructor for class test.mulan.learn.traintest.TrainTestExperimenterTest

TrainTestFullRun - Class in uk.ac.ed.inf.enzml.mulan.learn.traintest

Runs a full train/test evaluation: 1.

TrainTestFullRun() - Constructor for class uk.ac.ed.inf.enzml.mulan.learn.traintest.TrainTestFullRun

trainTestValidate() - Method in class uk.ac.ed.inf.enzml.mulan.learn.traintest.TrainTestEvaluator

Evaluates a MultiLabelLearner via train/test-validation