public static Map<String, KiePMMLTableSourceCategory> getClassificationTableBuilders(final RegressionCompilationDTO compilationDTO) {

        logger.trace("getRegressionTables {}", compilationDTO.getRegressionTables());
        LinkedHashMap<String, KiePMMLTableSourceCategory> toReturn =
                KiePMMLRegressionTableFactory.getRegressionTableBuilders(compilationDTO);
        Map.Entry<String, String> regressionTableEntry = getClassificationTableBuilder(compilationDTO, toReturn);
        toReturn.put(regressionTableEntry.getKey(), new KiePMMLTableSourceCategory(regressionTableEntry.getValue(),
                                                                                   ""));
        return toReturn;
    }
@Test
    void getClassificationTableBuilders() {
        RegressionTable regressionTableProf = getRegressionTable(3.5, "professional");
        RegressionTable regressionTableCler = getRegressionTable(27.4, "clerical");
        OutputField outputFieldCat = getOutputField("CAT-1", ResultFeature.PROBABILITY, "CatPred-1");
        OutputField outputFieldNum = getOutputField("NUM-1", ResultFeature.PROBABILITY, "NumPred-0");
        OutputField outputFieldPrev = getOutputField("PREV", ResultFeature.PREDICTED_VALUE, null);

        String targetField = "targetField";
        DataField dataField = new DataField();
        dataField.setName(targetField);
        dataField.setOpType(OpType.CATEGORICAL);
        DataDictionary dataDictionary = new DataDictionary();
        dataDictionary.addDataFields(dataField);
        RegressionModel regressionModel = new RegressionModel();
        regressionModel.setNormalizationMethod(RegressionModel.NormalizationMethod.CAUCHIT);
        regressionModel.addRegressionTables(regressionTableProf, regressionTableCler);
        regressionModel.setModelName(getGeneratedClassName("RegressionModel"));
        Output output = new Output();
        output.addOutputFields(outputFieldCat, outputFieldNum, outputFieldPrev);
        regressionModel.setOutput(output);
        MiningField miningField = new MiningField();
        miningField.setUsageType(MiningField.UsageType.TARGET);
        miningField.setName(dataField.getName());
        MiningSchema miningSchema = new MiningSchema();
        miningSchema.addMiningFields(miningField);
        regressionModel.setMiningSchema(miningSchema);
        PMML pmml = new PMML();
        pmml.setDataDictionary(dataDictionary);
        pmml.addModels(regressionModel);
        final CommonCompilationDTO<RegressionModel> source =
                CommonCompilationDTO.fromGeneratedPackageNameAndFields(PACKAGE_NAME,
                                                                       pmml,
                                                                       regressionModel,
                                                                       new PMMLCompilationContextMock(),
                                                                       "FILENAME");
        final RegressionCompilationDTO compilationDTO =
                RegressionCompilationDTO.fromCompilationDTORegressionTablesAndNormalizationMethod(source,
                                                                                                  regressionModel.getRegressionTables(),
                                                                                                  regressionModel.getNormalizationMethod());
        Map<String, KiePMMLTableSourceCategory> retrieved =
                KiePMMLClassificationTableFactory.getClassificationTableBuilders(compilationDTO);
        assertThat(retrieved).isNotNull();
        assertThat(retrieved).hasSize(3);
        retrieved.values().forEach(kiePMMLTableSourceCategory -> commonValidateKiePMMLRegressionTable(kiePMMLTableSourceCategory.getSource()));

        Map<String, String> sources = retrieved.entrySet().stream().collect(Collectors.toMap(Map.Entry::getKey,
                stringKiePMMLTableSourceCategoryEntry -> stringKiePMMLTableSourceCategoryEntry.getValue().getSource()));
        commonValidateCompilation(sources);
    }