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

org.dmg.pmml.pmml_4_2.descr.UniformDistribution
3.org/2001/XMLSchema}anyType"> <sequence> <element ref="{http://www.dmg.org/PMML-4_2}Extension" maxOccurs="unbounded" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_2}MiningSchema"/> <element ref="{http://www.dmg.org/PMML-4_2}Output" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_2}ModelStats" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_2}ModelExplanation" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_2}Targets" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_2}LocalTransformations" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_2}Characteristics"/> <element ref="{http://www.dmg.org/PMML-4_2}ModelVerification" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_2}Extension" maxOccurs="unbounded" minOccurs="0"/> </sequence> <attribute name="modelName" type="{http://www.w3.org/2001/XMLSchema}string" /> <attribute name="functionName" use="required" type="{http://www.dmg.org/PMML-4_2}MINING-FUNCTION" /> <attribute name="algorithmName" type="{http://www.w3.org/2001/XMLSchema}string" /> <attribute name="initialScore" type="{http://www.dmg.org/PMML-4_2}NUMBER" default="0" /> <attribute name="useReasonCodes" type="{http://www.w3.org/2001/XMLSchema}boolean" default="true" /> <attribute name="reasonCodeAlgorithm" default="pointsBelow"> <simpleType> <restriction base="{http://www.w3.org/2001/XMLSchema}string"> <enumeration value="pointsAbove"/> <enumeration value="pointsBelow"/> </restriction> </simpleType> </attribute> <attribute name="baselineScore" type="{http://www.dmg.org/PMML-4_2}NUMBER" /> <attribute name="baselineMethod" default="other"> <simpleType> <restriction base="{http://www.w3.org/2001/XMLSchema}string"> <enumeration value="max"/> <enumeration value="min"/> <enumeration value="mean"/> <enumeration value="neutral"/> <enumeration value="other"/> </restriction> </simpleType> </attribute> <attribute name="isScorable" type="{http://www.w3.org/2001/XMLSchema}boolean" default="true" /> </restriction> </complexContent> </complexType>

        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.NONE );
            }
        }


        String theory = compiler.generateTheory( pmml );
        if ( VERBOSE ) {

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        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 );
            }
        }


        KieSession kSession = getSession( compiler.generateTheory( pmml ) );

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        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 );
            }
        }


        String theory = compiler.generateTheory( pmml );
        if ( VERBOSE ) {

View Full Code Here

        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 );
            }
        }


        String theory = compiler.generateTheory( pmml );
        if ( VERBOSE ) {

View Full Code Here

        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 );
            }
        }


        String theory = compiler.generateTheory( pmml );
        if ( VERBOSE ) {

View Full Code Here

        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.AGGREGATE_NODES );
            }
        }


        String theory = compiler.generateTheory( pmml );
        if ( VERBOSE ) {

View Full Code Here

        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.NONE );
            }
        }


        String theory = compiler.generateTheory( pmml );
        if ( VERBOSE ) {

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            return "new Double[] { " + gd.getMean() + ", " + gd.getVariance() + " }";
        } else if ( d instanceof PoissonDistribution ) {
            PoissonDistribution pd = (PoissonDistribution) d;
            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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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

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