Package org.dmg.pmml.pmml_4_2.descr

Examples of org.dmg.pmml.pmml_4_2.descr.Extension

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    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 );
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    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 );

        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 );
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        for (Object serializable : pmmlDocument.getAssociationModelsAndBaselineModelsAndClusteringModels()){
            if (serializable instanceof Scorecard){
                Scorecard scorecard = (Scorecard)serializable;
                for (Object obj :scorecard.getExtensionsAndCharacteristicsAndMiningSchemas()){
                    if ( obj instanceof Output) {
                        Output output = (Output)obj;
                        final List<OutputField> outputFields = output.getOutputFields();
                        assertEquals(1, outputFields.size());
                        final OutputField outputField = outputFields.get(0);
                        assertNotNull(outputField);
                        assertEquals("totalScore", outputField.getName());
                        assertEquals("Final Score", outputField.getDisplayName());
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        return sb.toString();
    }

    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 );
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        return sb.toString();
    }

    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 );
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                for (Object obj :scorecard.getExtensionsAndCharacteristicsAndMiningSchemas()){
                    if ( obj instanceof Output) {
                        Output output = (Output)obj;
                        final List<OutputField> outputFields = output.getOutputFields();
                        assertEquals(1, outputFields.size());
                        final OutputField outputField = outputFields.get(0);
                        assertNotNull(outputField);
                        assertEquals("totalScore", outputField.getName());
                        assertEquals("Final Score", outputField.getDisplayName());
                        assertEquals("double", outputField.getDataType().value());
                        assertEquals("predictedValue", outputField.getFeature().value());
                        final Extension extension = ScorecardPMMLUtils.getExtension(outputField.getExtensions(), PMMLExtensionNames.EXTERNAL_CLASS );
                        assertNotNull(extension);
                        assertEquals("org.drools.scorecards.example.Applicant",extension.getValue());
                        return;
                    }
                }
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    @Test
    public void testMissingTreeDefault() throws Exception {
        PMML4Compiler compiler = new PMML4Compiler();
        PMML pmml = compiler.loadModel( PMML, ResourceFactory.newClassPathResource( source2 ).getInputStream() );

        for ( Object o : pmml.getAssociationModelsAndBaselineModelsAndClusteringModels() ) {
            if ( o instanceof TreeModel ) {
                TreeModel tree = (TreeModel) o;
                tree.setMissingValueStrategy( MISSINGVALUESTRATEGY.DEFAULT_CHILD );
            }
        }
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    @Test
    public void testMissingTreeAllMissingDefault() throws Exception {
        PMML4Compiler compiler = new PMML4Compiler();
        PMML pmml = compiler.loadModel( PMML, ResourceFactory.newClassPathResource( source2 ).getInputStream() );

        for ( Object o : pmml.getAssociationModelsAndBaselineModelsAndClusteringModels() ) {
            if ( o instanceof TreeModel ) {
                TreeModel tree = (TreeModel) o;
                tree.setMissingValueStrategy( MISSINGVALUESTRATEGY.DEFAULT_CHILD );
            }
        }
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    @Test
    public void testMissingTreeLastChoice() throws Exception {
        PMML4Compiler compiler = new PMML4Compiler();
        PMML pmml = compiler.loadModel( PMML, ResourceFactory.newClassPathResource( source2 ).getInputStream() );

        for ( Object o : pmml.getAssociationModelsAndBaselineModelsAndClusteringModels() ) {
            if ( o instanceof TreeModel ) {
                TreeModel tree = (TreeModel) o;
                tree.setMissingValueStrategy( MISSINGVALUESTRATEGY.LAST_PREDICTION );
            }
        }
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    @Test
    public void testMissingTreeNull() throws Exception {
        PMML4Compiler compiler = new PMML4Compiler();
        PMML pmml = compiler.loadModel( PMML, ResourceFactory.newClassPathResource( source2 ).getInputStream() );

        for ( Object o : pmml.getAssociationModelsAndBaselineModelsAndClusteringModels() ) {
            if ( o instanceof TreeModel ) {
                TreeModel tree = (TreeModel) o;
                tree.setMissingValueStrategy( MISSINGVALUESTRATEGY.NULL_PREDICTION );
            }
        }
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Related Classes of org.dmg.pmml.pmml_4_2.descr.Extension

  • org.drools.guvnor.models.guided.scorecard.backend.GuidedScoreCardDRLPersistence
  • org.drools.pmml.pmml_4_2.PMML4Compiler
  • org.drools.pmml.pmml_4_2.PMML4Helper
  • org.drools.pmml.pmml_4_2.PMMLGenerationTest
  • org.drools.pmml.pmml_4_2.predictive.models.DecisionTreeTest
  • org.drools.scorecards.DrlFromPMMLTest
  • org.drools.scorecards.ExternalObjectModelTest
  • org.drools.scorecards.parser.xls.ExcelScorecardValidator
  • org.drools.scorecards.ScorecardReasonCodeTest
  • org.drools.scorecards.ScoringStrategiesTest
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