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

Example 1 with MiningSchema

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

the class AbstractModel method initMiningFieldMap.

protected void initMiningFieldMap() {
    MiningSchema schema = getMiningSchema();
    miningFieldMap = new HashMap<>();
    for (MiningField field : schema.getMiningFields()) {
        miningFieldMap.put(field.getName(), field);
    }
}

Example 2 with MiningSchema

use of org.kie.dmg.pmml.pmml_4_2.descr.MiningSchema 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);
}