Package org.dmg.pmml.pmml_4_1.descr

Examples of org.dmg.pmml.pmml_4_1.descr.Extension

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    }

    private void validateReasonCodes() {
        for (Object obj :scorecard.getExtensionsAndCharacteristicsAndMiningSchemas()){
            if (obj instanceof Characteristics){
                Characteristics characteristics = (Characteristics)obj;
                for (Characteristic characteristic : characteristics.getCharacteristics()){
                    String charReasonCode = characteristic.getReasonCode();
                    if (charReasonCode == null || StringUtils.isEmpty(charReasonCode)){
                        for (Attribute attribute : characteristic.getAttributes()){
                            String newCellRef = createDataTypeCellRef(ScorecardPMMLUtils.getExtensionValue(attribute.getExtensions(), "cellRef"),3);
                            String attrReasonCode = attribute.getReasonCode();
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    private void validateBaselineScores() {
        for (Object obj :scorecard.getExtensionsAndCharacteristicsAndMiningSchemas()){
            Double scorecardBaseline = scorecard.getBaselineScore();
            if (obj instanceof Characteristics){
                Characteristics characteristics = (Characteristics)obj;
                for (Characteristic characteristic : characteristics.getCharacteristics()){
                    Double charBaseline = characteristic.getBaselineScore();
                    if  ( (charBaseline == null || charBaseline.doubleValue() == 0)
                            && ((scorecardBaseline == null || scorecardBaseline.doubleValue() == 0)) ){
                        String newCellRef = createDataTypeCellRef(ScorecardPMMLUtils.getExtensionValue(characteristic.getExtensions(), "cellRef"),2);
                        parseErrors.add(new ScorecardError(newCellRef, "Characteristic is missing Baseline Score"));
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    }

    private void checkForInvalidDataTypes() {
        for (Object obj :scorecard.getExtensionsAndCharacteristicsAndMiningSchemas()){
            if (obj instanceof Characteristics){
                Characteristics characteristics = (Characteristics)obj;
                for (Characteristic characteristic : characteristics.getCharacteristics()){
                    String dataType = ScorecardPMMLUtils.getExtensionValue(characteristic.getExtensions(), PMMLExtensionNames.CHARACTERTISTIC_DATATYPE);
                    String newCellRef = createDataTypeCellRef(ScorecardPMMLUtils.getExtensionValue(characteristic.getExtensions(), "cellRef"),1);
                    if ( dataType == null || StringUtils.isEmpty(dataType)) {
                        parseErrors.add(new ScorecardError(newCellRef, "Missing Data Type!"));
                    }  else  if ( !XLSKeywords.DATATYPE_TEXT.equalsIgnoreCase(dataType) && !XLSKeywords.DATATYPE_NUMBER.equalsIgnoreCase(dataType)  && !XLSKeywords.DATATYPE_BOOLEAN.equalsIgnoreCase(dataType)){
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    }

    private void checkForMissingAttributes() {
        for (Object obj :scorecard.getExtensionsAndCharacteristicsAndMiningSchemas()){
            if (obj instanceof Characteristics){
                Characteristics characteristics = (Characteristics)obj;
                for (Characteristic characteristic : characteristics.getCharacteristics()){
                    String newCellRef = ScorecardPMMLUtils.getExtensionValue(characteristic.getExtensions(), "cellRef");
                    if ( characteristic.getAttributes().size() == 0 ) {
                        parseErrors.add(new ScorecardError(newCellRef, "Missing Attribute Bins for Characteristic '"+characteristic.getName()+"'."));
                    }
                }
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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.SCORECARD_RESULTANT_SCORE_CLASS );
        extension.setValue( model.getFactName() );

        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_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( PMMLExtensionNames.SCORECARD_RESULTANT_SCORE_FIELD );
        extension.setValue( model.getFieldName() );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_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.CHARACTERTISTIC_EXTERNAL_CLASS );
            extension.setValue( characteristic.getFact() );
            _characteristic.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.SCORECARD_RESULTANT_SCORE_CLASS );
        extension.setValue( model.getFactName() );

        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_IMPORTS );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );
        List<String> imports = new ArrayList<String>();
        imports.add( model.getFactName() );
        StringBuilder importBuilder = new StringBuilder();
        importBuilder.append( model.getFactName() );

        for ( final org.drools.guvnor.models.guided.scorecard.shared.Characteristic characteristic : model.getCharacteristics() ) {
            if ( !imports.contains( characteristic.getFact() ) ) {
                imports.add( characteristic.getFact() );
                importBuilder.append( "," ).append( characteristic.getFact() );
            }
        }
        imports.clear();
        extension.setValue( importBuilder.toString() );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_RESULTANT_SCORE_FIELD );
        extension.setValue( model.getFieldName() );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_PACKAGE );
        extension.setValue( model.getPackageName() );
        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.guvnor.models.guided.scorecard.shared.Characteristic characteristic : model.getCharacteristics() ) {
            final Characteristic _characteristic = new Characteristic();
            characteristics.getCharacteristics().add( _characteristic );

            extension = new Extension();
            extension.setName( PMMLExtensionNames.CHARACTERTISTIC_EXTERNAL_CLASS );
            extension.setValue( characteristic.getFact() );
            _characteristic.getExtensions().add( extension );
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        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());
                        for (Characteristic characteristic : characteristics.getCharacteristics()){
                            for (Attribute attribute : characteristic.getAttributes()){
                                assertNotNull(attribute.getReasonCode());
                            }
                        }
                        return;
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        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;
                    }
                }
            }
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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.SCORECARD_RESULTANT_SCORE_CLASS );
        extension.setValue( model.getFactName() );

        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_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( PMMLExtensionNames.SCORECARD_RESULTANT_SCORE_FIELD );
        extension.setValue( model.getFieldName() );
        pmmlScorecard.getExtensionsAndCharacteristicsAndMiningSchemas().add( extension );

        extension = new Extension();
        extension.setName( PMMLExtensionNames.SCORECARD_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.CHARACTERTISTIC_EXTERNAL_CLASS );
            extension.setValue( characteristic.getFact() );
            _characteristic.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 );
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Related Classes of org.dmg.pmml.pmml_4_1.descr.Extension

  • org.drools.guvnor.models.guided.scorecard.backend.GuidedScoreCardDRLPersistence
  • org.drools.pmml.pmml_4_1.PMML4Compiler
  • org.drools.pmml.pmml_4_1.PMMLGenerationTest
  • org.drools.pmml.pmml_4_1.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
  • org.drools.workbench.models.guided.scorecard.backend.GuidedScoreCardDRLPersistence
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