use of org.kie.pmml.compiler.commons.mocks.HasClassLoaderMock in project drools by kiegroup.
the class KiePMMLClassificationTableFactoryTest method getClassificationTableBuilder.
@Test
public void getClassificationTableBuilder() {
RegressionTable regressionTableProf = getRegressionTable(3.5, "professional");
RegressionTable regressionTableCler = getRegressionTable(27.4, "clerical");
OutputField outputFieldCat = getOutputField("CAT-1", ResultFeature.PROBABILITY, "CatPred-1");
OutputField outputFieldNum = getOutputField("NUM-1", ResultFeature.PROBABILITY, "NumPred-0");
OutputField outputFieldPrev = getOutputField("PREV", ResultFeature.PREDICTED_VALUE, null);
String targetField = "targetField";
DataField dataField = new DataField();
dataField.setName(FieldName.create(targetField));
dataField.setOpType(OpType.CATEGORICAL);
DataDictionary dataDictionary = new DataDictionary();
dataDictionary.addDataFields(dataField);
RegressionModel regressionModel = new RegressionModel();
regressionModel.setNormalizationMethod(RegressionModel.NormalizationMethod.CAUCHIT);
regressionModel.addRegressionTables(regressionTableProf, regressionTableCler);
regressionModel.setModelName(getGeneratedClassName("RegressionModel"));
Output output = new Output();
output.addOutputFields(outputFieldCat, outputFieldNum, outputFieldPrev);
regressionModel.setOutput(output);
MiningField miningField = new MiningField();
miningField.setUsageType(MiningField.UsageType.TARGET);
miningField.setName(dataField.getName());
MiningSchema miningSchema = new MiningSchema();
miningSchema.addMiningFields(miningField);
regressionModel.setMiningSchema(miningSchema);
PMML pmml = new PMML();
pmml.setDataDictionary(dataDictionary);
pmml.addModels(regressionModel);
final CommonCompilationDTO<RegressionModel> source = CommonCompilationDTO.fromGeneratedPackageNameAndFields(PACKAGE_NAME, pmml, regressionModel, new HasClassLoaderMock());
final RegressionCompilationDTO compilationDTO = RegressionCompilationDTO.fromCompilationDTORegressionTablesAndNormalizationMethod(source, regressionModel.getRegressionTables(), regressionModel.getNormalizationMethod());
final LinkedHashMap<String, KiePMMLTableSourceCategory> regressionTablesMap = new LinkedHashMap<>();
regressionModel.getRegressionTables().forEach(regressionTable -> {
String key = compilationDTO.getPackageName() + "." + regressionTable.getTargetCategory().toString().toUpperCase();
KiePMMLTableSourceCategory value = new KiePMMLTableSourceCategory("", regressionTable.getTargetCategory().toString());
regressionTablesMap.put(key, value);
});
Map.Entry<String, String> retrieved = KiePMMLClassificationTableFactory.getClassificationTableBuilder(compilationDTO, regressionTablesMap);
assertNotNull(retrieved);
}
use of org.kie.pmml.compiler.commons.mocks.HasClassLoaderMock in project drools by kiegroup.
the class ScorecardModelImplementationProviderTest method getKiePMMLModelWithSources.
@Test
public void getKiePMMLModelWithSources() {
final CommonCompilationDTO<Scorecard> compilationDTO = CommonCompilationDTO.fromGeneratedPackageNameAndFields(PACKAGE_NAME, basicComplexPartialScorePmml, basicComplexPartialScore, new HasClassLoaderMock());
KiePMMLModelWithSources retrieved = provider.getKiePMMLModelWithSources(compilationDTO);
assertNotNull(retrieved);
Map<String, String> retrievedSourcesMap = retrieved.getSourcesMap();
assertNotNull(retrievedSourcesMap);
assertFalse(retrievedSourcesMap.isEmpty());
}
use of org.kie.pmml.compiler.commons.mocks.HasClassLoaderMock in project drools by kiegroup.
the class ScorecardModelImplementationProviderTest method getKiePMMLModel.
@Test
public void getKiePMMLModel() {
final CommonCompilationDTO<Scorecard> compilationDTO = CommonCompilationDTO.fromGeneratedPackageNameAndFields(PACKAGE_NAME, basicComplexPartialScorePmml, basicComplexPartialScore, new HasClassLoaderMock());
KiePMMLScorecardModel retrieved = provider.getKiePMMLModel(compilationDTO);
assertNotNull(retrieved);
}
use of org.kie.pmml.compiler.commons.mocks.HasClassLoaderMock in project drools by kiegroup.
the class KiePMMLRegressionTableFactoryTest method getRegressionTableBuilders.
@Test
public void getRegressionTableBuilders() {
regressionTable = getRegressionTable(3.5, "professional");
RegressionModel regressionModel = new RegressionModel();
regressionModel.setNormalizationMethod(RegressionModel.NormalizationMethod.CAUCHIT);
regressionModel.addRegressionTables(regressionTable);
regressionModel.setModelName(getGeneratedClassName("RegressionModel"));
String targetField = "targetField";
DataField dataField = new DataField();
dataField.setName(FieldName.create(targetField));
dataField.setOpType(OpType.CATEGORICAL);
DataDictionary dataDictionary = new DataDictionary();
dataDictionary.addDataFields(dataField);
MiningField miningField = new MiningField();
miningField.setUsageType(MiningField.UsageType.TARGET);
miningField.setName(dataField.getName());
MiningSchema miningSchema = new MiningSchema();
miningSchema.addMiningFields(miningField);
regressionModel.setMiningSchema(miningSchema);
PMML pmml = new PMML();
pmml.setDataDictionary(dataDictionary);
pmml.addModels(regressionModel);
final CommonCompilationDTO<RegressionModel> source = CommonCompilationDTO.fromGeneratedPackageNameAndFields(PACKAGE_NAME, pmml, regressionModel, new HasClassLoaderMock());
final RegressionCompilationDTO compilationDTO = RegressionCompilationDTO.fromCompilationDTORegressionTablesAndNormalizationMethod(source, new ArrayList<>(), regressionModel.getNormalizationMethod());
Map<String, KiePMMLTableSourceCategory> retrieved = KiePMMLRegressionTableFactory.getRegressionTableBuilders(compilationDTO);
assertNotNull(retrieved);
retrieved.values().forEach(kiePMMLTableSourceCategory -> commonValidateKiePMMLRegressionTable(kiePMMLTableSourceCategory.getSource()));
}
use of org.kie.pmml.compiler.commons.mocks.HasClassLoaderMock in project drools by kiegroup.
the class KiePMMLRegressionTableFactoryTest method getRegressionTables.
@Test
public void getRegressionTables() {
regressionTable = getRegressionTable(3.5, "professional");
RegressionTable regressionTable2 = getRegressionTable(3.9, "hobby");
RegressionModel regressionModel = new RegressionModel();
regressionModel.setNormalizationMethod(RegressionModel.NormalizationMethod.CAUCHIT);
regressionModel.addRegressionTables(regressionTable, regressionTable2);
regressionModel.setModelName(getGeneratedClassName("RegressionModel"));
String targetField = "targetField";
DataField dataField = new DataField();
dataField.setName(FieldName.create(targetField));
dataField.setOpType(OpType.CATEGORICAL);
DataDictionary dataDictionary = new DataDictionary();
dataDictionary.addDataFields(dataField);
MiningField miningField = new MiningField();
miningField.setUsageType(MiningField.UsageType.TARGET);
miningField.setName(dataField.getName());
MiningSchema miningSchema = new MiningSchema();
miningSchema.addMiningFields(miningField);
regressionModel.setMiningSchema(miningSchema);
PMML pmml = new PMML();
pmml.setDataDictionary(dataDictionary);
pmml.addModels(regressionModel);
final CommonCompilationDTO<RegressionModel> source = CommonCompilationDTO.fromGeneratedPackageNameAndFields(PACKAGE_NAME, pmml, regressionModel, new HasClassLoaderMock());
final RegressionCompilationDTO compilationDTO = RegressionCompilationDTO.fromCompilationDTORegressionTablesAndNormalizationMethod(source, regressionModel.getRegressionTables(), regressionModel.getNormalizationMethod());
Map<String, KiePMMLRegressionTable> retrieved = KiePMMLRegressionTableFactory.getRegressionTables(compilationDTO);
assertNotNull(retrieved);
assertEquals(regressionModel.getRegressionTables().size(), retrieved.size());
regressionModel.getRegressionTables().forEach(regrTabl -> {
assertTrue(retrieved.containsKey(regrTabl.getTargetCategory().toString()));
commonEvaluateRegressionTable(retrieved.get(regrTabl.getTargetCategory().toString()), regrTabl);
});
}
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