Examples with PMML org.dmg.pmml.pmml_4_2.descr.PMML used on opensource projects

Example 6 with PMML

use of org.dmg.pmml.pmml_4_2.descr.PMML in project drools by kiegroup.

the class ScorecardReasonCodeTest method testUseReasonCodes.

@Test
public void testUseReasonCodes() throws Exception {
    final ScorecardCompiler scorecardCompiler = new ScorecardCompiler(INTERNAL_DECLARED_TYPES);
    boolean compileResult = scorecardCompiler.compileFromExcel(PMMLDocumentTest.class.getResourceAsStream("/scoremodel_reasoncodes.xls"));
    if (!compileResult) {
        assertErrors(scorecardCompiler);
    }
    final PMML pmmlDocument = scorecardCompiler.getPMMLDocument();
    for (Object serializable : pmmlDocument.getAssociationModelsAndBaselineModelsAndClusteringModels()) {
        if (serializable instanceof Scorecard) {
            assertTrue(((Scorecard) serializable).getUseReasonCodes());
            assertEquals(100.0, ((Scorecard) serializable).getInitialScore(), 0.0);
            assertEquals("pointsBelow", ((Scorecard) serializable).getReasonCodeAlgorithm());
        }
    }
}

Example 7 with PMML

use of org.dmg.pmml.pmml_4_2.descr.PMML in project drools by kiegroup.

the class ScorecardReasonCodeTest method testBaselineScores.

@Test
public void testBaselineScores() throws Exception {
    ScorecardCompiler scorecardCompiler = new ScorecardCompiler(INTERNAL_DECLARED_TYPES);
    boolean compileResult = scorecardCompiler.compileFromExcel(PMMLDocumentTest.class.getResourceAsStream("/scoremodel_reasoncodes.xls"));
    if (!compileResult) {
        assertErrors(scorecardCompiler);
    }
    final PMML pmmlDocument = scorecardCompiler.getPMMLDocument();
    for (Object serializable : pmmlDocument.getAssociationModelsAndBaselineModelsAndClusteringModels()) {
        if (serializable instanceof Scorecard) {
            for (Object obj : ((Scorecard) serializable).getExtensionsAndCharacteristicsAndMiningSchemas()) {
                if (obj instanceof Characteristics) {
                    Characteristics characteristics = (Characteristics) obj;
                    assertEquals(4, characteristics.getCharacteristics().size());
                    assertEquals(10.0, characteristics.getCharacteristics().get(0).getBaselineScore(), 0.0);
                    assertEquals(99.0, characteristics.getCharacteristics().get(1).getBaselineScore(), 0.0);
                    assertEquals(12.0, characteristics.getCharacteristics().get(2).getBaselineScore(), 0.0);
                    assertEquals(15.0, characteristics.getCharacteristics().get(3).getBaselineScore(), 0.0);
                    assertEquals(25.0, ((Scorecard) serializable).getBaselineScore(), 0.0);
                    return;
                }
            }
        }
    }
    fail();
}

Example 8 with PMML

use of org.dmg.pmml.pmml_4_2.descr.PMML in project drools by kiegroup.

the class ScorecardReasonCodeTest method testAbsenceOfReasonCodes.

@Test
public void testAbsenceOfReasonCodes() throws Exception {
    ScorecardCompiler scorecardCompiler = new ScorecardCompiler(INTERNAL_DECLARED_TYPES);
    scorecardCompiler.compileFromExcel(PMMLDocumentTest.class.getResourceAsStream("/scoremodel_c.xls"));
    PMML pmml = scorecardCompiler.getPMMLDocument();
    for (Object serializable : pmml.getAssociationModelsAndBaselineModelsAndClusteringModels()) {
        if (serializable instanceof Scorecard) {
            assertFalse(((Scorecard) serializable).getUseReasonCodes());
        }
    }
}

Example 9 with PMML

use of org.dmg.pmml.pmml_4_2.descr.PMML in project drools by kiegroup.

the class PMML4Compiler method loadModel.

/**
 * Imports a PMML source file, returning a Java descriptor
 * @param model            the PMML package name (classes derived from a specific schema)
 * @param source        the name of the PMML resource storing the predictive model
 * @return                the Java Descriptor of the PMML resource
 */
public PMML loadModel(String model, InputStream source) {
    try {
        if (schema == null) {
            visitorBuildResults.add(new PMMLWarning(ResourceFactory.newInputStreamResource(source), "Could not validate PMML document, schema not available"));
        }
        JAXBContext jc = JAXBContext.newInstance(model);
        Unmarshaller unmarshaller = jc.createUnmarshaller();
        if (schema != null) {
            unmarshaller.setSchema(schema);
        }
        return (PMML) unmarshaller.unmarshal(source);
    } catch (JAXBException e) {
        this.results.add(new PMMLError(e.toString()));
        return null;
    }
}

Example 10 with PMML

use of org.dmg.pmml.pmml_4_2.descr.PMML in project drools by kiegroup.

the class GuidedScoreCardDRLPersistence method createPMMLDocument.

private static PMML createPMMLDocument(final ScoreCardModel model) {
    final Scorecard pmmlScorecard = ScorecardPMMLUtils.createScorecard();
    final Output output = new Output();
    final Characteristics characteristics = new Characteristics();
    final MiningSchema miningSchema = new MiningSchema();
    Extension extension = new Extension();
    extension.setName(PMMLExtensionNames.EXTERNAL_CLASS);
    extension.setValue(model.getFactName());
    pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add(extension);
    String agendaGroup = model.getAgendaGroup();
    if (!StringUtils.isEmpty(agendaGroup)) {
        extension = new Extension();
        extension.setName(PMMLExtensionNames.AGENDA_GROUP);
        extension.setValue(agendaGroup);
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add(extension);
    }
    String ruleFlowGroup = model.getRuleFlowGroup();
    if (!StringUtils.isEmpty(ruleFlowGroup)) {
        extension = new Extension();
        extension.setName(PMMLExtensionNames.RULEFLOW_GROUP);
        extension.setValue(agendaGroup);
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add(extension);
    }
    extension = new Extension();
    extension.setName(PMMLExtensionNames.MODEL_IMPORTS);
    pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add(extension);
    List<String> imports = new ArrayList<String>();
    StringBuilder importBuilder = new StringBuilder();
    for (Import imp : model.getImports().getImports()) {
        if (!imports.contains(imp.getType())) {
            imports.add(imp.getType());
            importBuilder.append(imp.getType()).append(",");
        }
    }
    extension.setValue(importBuilder.toString());
    extension = new Extension();
    extension.setName(ScorecardPMMLExtensionNames.SCORECARD_RESULTANT_SCORE_FIELD);
    extension.setValue(model.getFieldName());
    pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add(extension);
    extension = new Extension();
    extension.setName(PMMLExtensionNames.MODEL_PACKAGE);
    String pkgName = model.getPackageName();
    extension.setValue(!(pkgName == null || pkgName.isEmpty()) ? pkgName : null);
    pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add(extension);
    final String modelName = convertToJavaIdentifier(model.getName());
    pmmlScorecard.setModelName(modelName);
    pmmlScorecard.setInitialScore(model.getInitialScore());
    pmmlScorecard.setUseReasonCodes(model.isUseReasonCodes());
    if (model.isUseReasonCodes()) {
        pmmlScorecard.setBaselineScore(model.getBaselineScore());
        pmmlScorecard.setReasonCodeAlgorithm(model.getReasonCodesAlgorithm());
    }
    for (final org.drools.workbench.models.guided.scorecard.shared.Characteristic characteristic : model.getCharacteristics()) {
        final Characteristic _characteristic = new Characteristic();
        characteristics.getCharacteristics().add(_characteristic);
        extension = new Extension();
        extension.setName(PMMLExtensionNames.EXTERNAL_CLASS);
        extension.setValue(characteristic.getFact());
        _characteristic.getExtensions().add(extension);
        extension = new Extension();
        extension.setName(ScorecardPMMLExtensionNames.CHARACTERTISTIC_DATATYPE);
        if ("string".equalsIgnoreCase(characteristic.getDataType())) {
            extension.setValue(XLSKeywords.DATATYPE_TEXT);
        } else if ("int".equalsIgnoreCase(characteristic.getDataType()) || "double".equalsIgnoreCase(characteristic.getDataType())) {
            extension.setValue(XLSKeywords.DATATYPE_NUMBER);
        } else if ("boolean".equalsIgnoreCase(characteristic.getDataType())) {
            extension.setValue(XLSKeywords.DATATYPE_BOOLEAN);
        } else {
            System.out.println(">>>> Found unknown data type :: " + characteristic.getDataType());
        }
        _characteristic.getExtensions().add(extension);
        _characteristic.setBaselineScore(characteristic.getBaselineScore());
        if (model.isUseReasonCodes()) {
            _characteristic.setReasonCode(characteristic.getReasonCode());
        }
        _characteristic.setName(characteristic.getName());
        final MiningField miningField = new MiningField();
        miningField.setName(characteristic.getField());
        miningField.setUsageType(FIELDUSAGETYPE.ACTIVE);
        miningField.setInvalidValueTreatment(INVALIDVALUETREATMENTMETHOD.RETURN_INVALID);
        miningSchema.getMiningFields().add(miningField);
        extension = new Extension();
        extension.setName(PMMLExtensionNames.EXTERNAL_CLASS);
        extension.setValue(characteristic.getFact());
        miningField.getExtensions().add(extension);
        for (final org.drools.workbench.models.guided.scorecard.shared.Attribute attribute : characteristic.getAttributes()) {
            final Attribute _attribute = new Attribute();
            _characteristic.getAttributes().add(_attribute);
            extension = new Extension();
            extension.setName(ScorecardPMMLExtensionNames.CHARACTERTISTIC_FIELD);
            extension.setValue(characteristic.getField());
            _attribute.getExtensions().add(extension);
            if (model.isUseReasonCodes()) {
                _attribute.setReasonCode(attribute.getReasonCode());
            }
            _attribute.setPartialScore(attribute.getPartialScore());
            final String operator = attribute.getOperator();
            final String dataType = characteristic.getDataType();
            String predicateResolver;
            if ("boolean".equalsIgnoreCase(dataType)) {
                predicateResolver = operator.toUpperCase();
            } else if ("String".equalsIgnoreCase(dataType)) {
                if (operator.contains("=")) {
                    predicateResolver = operator + attribute.getValue();
                } else {
                    predicateResolver = attribute.getValue() + ",";
                }
            } else {
                if (NUMERIC_OPERATORS.contains(operator)) {
                    predicateResolver = operator + " " + attribute.getValue();
                } else {
                    predicateResolver = attribute.getValue().replace(",", "-");
                }
            }
            extension = new Extension();
            extension.setName("predicateResolver");
            extension.setValue(predicateResolver);
            _attribute.getExtensions().add(extension);
        }
    }
    pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add(miningSchema);
    pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add(output);
    pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add(characteristics);
    return new ScorecardPMMLGenerator().generateDocument(pmmlScorecard);
}