Examples with KiePMMLTableSourceCategory org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory used on opensource projects

Example 1 with KiePMMLTableSourceCategory

use of org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory in project drools by kiegroup.

the class KiePMMLRegressionModelFactory method getRegressionTablesMap.

// not-public code-generation
static Map<String, KiePMMLTableSourceCategory> getRegressionTablesMap(final RegressionCompilationDTO compilationDTO) {
    Map<String, KiePMMLTableSourceCategory> toReturn;
    if (compilationDTO.isRegression()) {
        final List<RegressionTable> regressionTables = Collections.singletonList(compilationDTO.getModel().getRegressionTables().get(0));
        final RegressionCompilationDTO regressionCompilationDTO = RegressionCompilationDTO.fromCompilationDTORegressionTablesAndNormalizationMethod(compilationDTO, regressionTables, compilationDTO.getModel().getNormalizationMethod());
        toReturn = KiePMMLRegressionTableFactory.getRegressionTableBuilders(regressionCompilationDTO);
    } else {
        final List<RegressionTable> regressionTables = compilationDTO.getModel().getRegressionTables();
        final RegressionCompilationDTO regressionCompilationDTO = RegressionCompilationDTO.fromCompilationDTORegressionTablesAndNormalizationMethod(compilationDTO, regressionTables, RegressionModel.NormalizationMethod.NONE);
        toReturn = KiePMMLClassificationTableFactory.getClassificationTableBuilders(regressionCompilationDTO);
    }
    return toReturn;
}

Example 2 with KiePMMLTableSourceCategory

use of org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory in project drools by kiegroup.

the class KiePMMLClassificationTableFactoryTest method getClassificationTableBuilders.

@Test
public 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(FieldName.create(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 HasClassLoaderMock());
    final RegressionCompilationDTO compilationDTO = RegressionCompilationDTO.fromCompilationDTORegressionTablesAndNormalizationMethod(source, regressionModel.getRegressionTables(), regressionModel.getNormalizationMethod());
    Map<String, KiePMMLTableSourceCategory> retrieved = KiePMMLClassificationTableFactory.getClassificationTableBuilders(compilationDTO);
    assertNotNull(retrieved);
    assertEquals(3, retrieved.size());
    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);
}

Example 3 with KiePMMLTableSourceCategory

use of org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory in project drools by kiegroup.

the class KiePMMLClassificationTableFactoryTest method setStaticGetter.

@Test
public void setStaticGetter() throws IOException {
    String variableName = "variableName";
    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(FieldName.create(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 HasClassLoaderMock());
    final RegressionCompilationDTO compilationDTO = RegressionCompilationDTO.fromCompilationDTORegressionTablesAndNormalizationMethod(source, regressionModel.getRegressionTables(), regressionModel.getNormalizationMethod());
    final LinkedHashMap<String, KiePMMLTableSourceCategory> regressionTablesMap = new LinkedHashMap<>();
    regressionModel.getRegressionTables().forEach(regressionTable -> {
        String key = "defpack." + regressionTable.getTargetCategory().toString().toUpperCase();
        KiePMMLTableSourceCategory value = new KiePMMLTableSourceCategory("", regressionTable.getTargetCategory().toString());
        regressionTablesMap.put(key, value);
    });
    final MethodDeclaration staticGetterMethod = STATIC_GETTER_METHOD.clone();
    KiePMMLClassificationTableFactory.setStaticGetter(compilationDTO, regressionTablesMap, staticGetterMethod, variableName);
    String text = getFileContent(TEST_02_SOURCE);
    MethodDeclaration expected = JavaParserUtils.parseMethod(text);
    assertTrue(JavaParserUtils.equalsNode(expected, staticGetterMethod));
}

Example 4 with KiePMMLTableSourceCategory

use of org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory in project drools by kiegroup.

the class KiePMMLRegressionModelFactory method getKiePMMLRegressionModelSourcesMap.

// Source code generation
public static Map<String, String> getKiePMMLRegressionModelSourcesMap(final RegressionCompilationDTO compilationDTO) throws IOException {
    logger.trace("getKiePMMLRegressionModelSourcesMap {} {} {}", compilationDTO.getFields(), compilationDTO.getModel(), compilationDTO.getPackageName());
    String className = compilationDTO.getSimpleClassName();
    CompilationUnit cloneCU = JavaParserUtils.getKiePMMLModelCompilationUnit(className, compilationDTO.getPackageName(), KIE_PMML_REGRESSION_MODEL_TEMPLATE_JAVA, KIE_PMML_REGRESSION_MODEL_TEMPLATE);
    ClassOrInterfaceDeclaration modelTemplate = cloneCU.getClassByName(className).orElseThrow(() -> new KiePMMLException(MAIN_CLASS_NOT_FOUND + ": " + className));
    Map<String, KiePMMLTableSourceCategory> tablesSourceMap = getRegressionTablesMap(compilationDTO);
    String nestedTable = tablesSourceMap.size() == 1 ? tablesSourceMap.keySet().iterator().next() : tablesSourceMap.keySet().stream().filter(tableName -> tableName.startsWith(compilationDTO.getPackageName() + ".KiePMMLClassificationTable")).findFirst().orElseThrow(() -> new KiePMMLException("Failed to find expected " + "KiePMMLClassificationTable"));
    setStaticGetter(compilationDTO, modelTemplate, nestedTable);
    Map<String, String> toReturn = tablesSourceMap.entrySet().stream().collect(Collectors.toMap(Map.Entry::getKey, entry -> entry.getValue().getSource()));
    toReturn.put(getFullClassName(cloneCU), cloneCU.toString());
    return toReturn;
}

Example 5 with KiePMMLTableSourceCategory

use of org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory in project drools by kiegroup.

the class KiePMMLClassificationTableFactoryTest method getClassificationTableBuilder.

@Test
public void getClassificationTableBuilder() {
    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(FieldName.create(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 HasClassLoaderMock());
    final RegressionCompilationDTO compilationDTO = RegressionCompilationDTO.fromCompilationDTORegressionTablesAndNormalizationMethod(source, regressionModel.getRegressionTables(), regressionModel.getNormalizationMethod());
    final LinkedHashMap<String, KiePMMLTableSourceCategory> regressionTablesMap = new LinkedHashMap<>();
    regressionModel.getRegressionTables().forEach(regressionTable -> {
        String key = compilationDTO.getPackageName() + "." + regressionTable.getTargetCategory().toString().toUpperCase();
        KiePMMLTableSourceCategory value = new KiePMMLTableSourceCategory("", regressionTable.getTargetCategory().toString());
        regressionTablesMap.put(key, value);
    });
    Map.Entry<String, String> retrieved = KiePMMLClassificationTableFactory.getClassificationTableBuilder(compilationDTO, regressionTablesMap);
    assertNotNull(retrieved);
}