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Example 41 with HasClassLoaderMock

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);
}
Also used : MiningField(org.dmg.pmml.MiningField) DataDictionary(org.dmg.pmml.DataDictionary) HasClassLoaderMock(org.kie.pmml.compiler.commons.mocks.HasClassLoaderMock) RegressionTable(org.dmg.pmml.regression.RegressionTable) RegressionModel(org.dmg.pmml.regression.RegressionModel) LinkedHashMap(java.util.LinkedHashMap) DataField(org.dmg.pmml.DataField) MiningSchema(org.dmg.pmml.MiningSchema) Output(org.dmg.pmml.Output) KiePMMLTableSourceCategory(org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory) OutputField(org.dmg.pmml.OutputField) PMML(org.dmg.pmml.PMML) RegressionCompilationDTO(org.kie.pmml.models.regression.compiler.dto.RegressionCompilationDTO) LinkedHashMap(java.util.LinkedHashMap) Map(java.util.Map) Test(org.junit.Test)

Example 42 with HasClassLoaderMock

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());
}
Also used : KiePMMLModelWithSources(org.kie.pmml.commons.model.KiePMMLModelWithSources) Scorecard(org.dmg.pmml.scorecard.Scorecard) HasClassLoaderMock(org.kie.pmml.compiler.commons.mocks.HasClassLoaderMock) Test(org.junit.Test)

Example 43 with HasClassLoaderMock

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);
}
Also used : KiePMMLScorecardModel(org.kie.pmml.models.scorecard.model.KiePMMLScorecardModel) Scorecard(org.dmg.pmml.scorecard.Scorecard) HasClassLoaderMock(org.kie.pmml.compiler.commons.mocks.HasClassLoaderMock) Test(org.junit.Test)

Example 44 with HasClassLoaderMock

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()));
}
Also used : MiningField(org.dmg.pmml.MiningField) DataDictionary(org.dmg.pmml.DataDictionary) HasClassLoaderMock(org.kie.pmml.compiler.commons.mocks.HasClassLoaderMock) RegressionModel(org.dmg.pmml.regression.RegressionModel) DataField(org.dmg.pmml.DataField) MiningSchema(org.dmg.pmml.MiningSchema) KiePMMLTableSourceCategory(org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory) PMML(org.dmg.pmml.PMML) RegressionCompilationDTO(org.kie.pmml.models.regression.compiler.dto.RegressionCompilationDTO) Test(org.junit.Test)

Example 45 with HasClassLoaderMock

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);
    });
}
Also used : MiningField(org.dmg.pmml.MiningField) KiePMMLRegressionTable(org.kie.pmml.models.regression.model.KiePMMLRegressionTable) DataDictionary(org.dmg.pmml.DataDictionary) HasClassLoaderMock(org.kie.pmml.compiler.commons.mocks.HasClassLoaderMock) RegressionTable(org.dmg.pmml.regression.RegressionTable) KiePMMLRegressionTable(org.kie.pmml.models.regression.model.KiePMMLRegressionTable) RegressionModel(org.dmg.pmml.regression.RegressionModel) DataField(org.dmg.pmml.DataField) MiningSchema(org.dmg.pmml.MiningSchema) PMML(org.dmg.pmml.PMML) RegressionCompilationDTO(org.kie.pmml.models.regression.compiler.dto.RegressionCompilationDTO) Test(org.junit.Test)

Aggregations

Test (org.junit.Test)48 HasClassLoaderMock (org.kie.pmml.compiler.commons.mocks.HasClassLoaderMock)48 RegressionModel (org.dmg.pmml.regression.RegressionModel)15 PMML (org.dmg.pmml.PMML)14 CommonCompilationDTO (org.kie.pmml.compiler.api.dto.CommonCompilationDTO)14 MethodDeclaration (com.github.javaparser.ast.body.MethodDeclaration)11 DataDictionary (org.dmg.pmml.DataDictionary)10 DataField (org.dmg.pmml.DataField)10 MiningField (org.dmg.pmml.MiningField)10 MiningSchema (org.dmg.pmml.MiningSchema)10 RegressionCompilationDTO (org.kie.pmml.models.regression.compiler.dto.RegressionCompilationDTO)10 Scorecard (org.dmg.pmml.scorecard.Scorecard)9 CompilationDTO (org.kie.pmml.compiler.api.dto.CompilationDTO)8 Serializable (java.io.Serializable)6 TreeModel (org.dmg.pmml.tree.TreeModel)6 KiePMMLModel (org.kie.pmml.commons.model.KiePMMLModel)6 ClassOrInterfaceDeclaration (com.github.javaparser.ast.body.ClassOrInterfaceDeclaration)5 Expression (com.github.javaparser.ast.expr.Expression)5 BlockStmt (com.github.javaparser.ast.stmt.BlockStmt)5 RegressionTable (org.dmg.pmml.regression.RegressionTable)5