Package org.dmg.pmml.pmml_4_2.descr

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

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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.SCORECARD_RESULTANT_SCORE_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.SCORECARD_RESULTANT_SCORE_CLASS );
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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.SCORECARD_RESULTANT_SCORE_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 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.SCORECARD_RESULTANT_SCORE_CLASS );
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            return "new Double[] { " + pd.getMean() + " }";
        } else if ( d instanceof UniformDistribution ) {
            UniformDistribution ud = (UniformDistribution) d;
            return "new Double[] { " + ud.getLower() + ", " + ud.getUpper() + " }";
        } else if ( d instanceof AnyDistribution ) {
            AnyDistribution ad = (AnyDistribution) d;
            return "new Double[] { " + ad.getMean() + ", " + ad.getVariance() + " }";
        }
        throw new IllegalStateException( "Unrecognized Distribution type " + d.getClass().getName() );
    }
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            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 );
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Related Classes of org.dmg.pmml.pmml_4_2.descr.Output

  • 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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