Examples with DATA_TYPE org.kie.pmml.api.enums.DATA_TYPE used on opensource projects

Example 1 with DATA_TYPE

use of org.kie.pmml.api.enums.DATA_TYPE in project drools by kiegroup.

the class ModelUtilsTest method getTargetFieldsTypeMapWithTargetFieldsWithoutTargets.

@Test
public void getTargetFieldsTypeMapWithTargetFieldsWithoutTargets() {
    final Model model = new RegressionModel();
    final DataDictionary dataDictionary = new DataDictionary();
    final MiningSchema miningSchema = new MiningSchema();
    IntStream.range(0, 3).forEach(i -> {
        final DataField dataField = getRandomDataField();
        dataDictionary.addDataFields(dataField);
        final MiningField miningField = getMiningField(dataField.getName().getValue(), MiningField.UsageType.PREDICTED);
        miningSchema.addMiningFields(miningField);
    });
    model.setMiningSchema(miningSchema);
    Map<String, DATA_TYPE> retrieved = ModelUtils.getTargetFieldsTypeMap(getFieldsFromDataDictionary(dataDictionary), model);
    assertNotNull(retrieved);
    assertEquals(miningSchema.getMiningFields().size(), retrieved.size());
    assertTrue(retrieved instanceof LinkedHashMap);
    final Iterator<Map.Entry<String, DATA_TYPE>> iterator = retrieved.entrySet().iterator();
    for (int i = 0; i < miningSchema.getMiningFields().size(); i++) {
        MiningField miningField = miningSchema.getMiningFields().get(i);
        DataField dataField = dataDictionary.getDataFields().stream().filter(df -> df.getName().equals(miningField.getName())).findFirst().get();
        DATA_TYPE expected = DATA_TYPE.byName(dataField.getDataType().value());
        final Map.Entry<String, DATA_TYPE> next = iterator.next();
        assertEquals(expected, next.getValue());
    }
}

Example 2 with DATA_TYPE

use of org.kie.pmml.api.enums.DATA_TYPE in project drools by kiegroup.

the class KiePMMLMiningFieldFactory method getMiningFieldVariableDeclaration.

static BlockStmt getMiningFieldVariableDeclaration(final String variableName, final MiningField miningField, final List<Field<?>> fields) {
    final MethodDeclaration methodDeclaration = MININGFIELD_TEMPLATE.getMethodsByName(GETKIEPMMLMININGFIELD).get(0).clone();
    final BlockStmt miningFieldBody = methodDeclaration.getBody().orElseThrow(() -> new KiePMMLException(String.format(MISSING_BODY_TEMPLATE, methodDeclaration)));
    final VariableDeclarator variableDeclarator = getVariableDeclarator(miningFieldBody, MININGFIELD).orElseThrow(() -> new KiePMMLException(String.format(MISSING_VARIABLE_IN_BODY, MININGFIELD, miningFieldBody)));
    variableDeclarator.setName(variableName);
    final BlockStmt toReturn = new BlockStmt();
    final MethodCallExpr initializer = variableDeclarator.getInitializer().orElseThrow(() -> new KiePMMLException(String.format(MISSING_VARIABLE_INITIALIZER_TEMPLATE, MININGFIELD, toReturn))).asMethodCallExpr();
    final MethodCallExpr builder = getChainedMethodCallExprFrom("builder", initializer);
    final StringLiteralExpr nameExpr = new StringLiteralExpr(miningField.getName().getValue());
    Expression fieldUsageTypeExpr;
    if (miningField.getUsageType() != null) {
        final FIELD_USAGE_TYPE fieldUsageType = FIELD_USAGE_TYPE.byName(miningField.getUsageType().value());
        fieldUsageTypeExpr = new NameExpr(FIELD_USAGE_TYPE.class.getName() + "." + fieldUsageType.name());
    } else {
        fieldUsageTypeExpr = new NullLiteralExpr();
    }
    Expression opTypeExpr;
    if (miningField.getOpType() != null) {
        final OP_TYPE opType = OP_TYPE.byName(miningField.getOpType().value());
        opTypeExpr = new NameExpr(OP_TYPE.class.getName() + "." + opType.name());
    } else {
        opTypeExpr = new NullLiteralExpr();
    }
    final List<Field<?>> mappedFields = getMappedFields(fields, miningField.getName().getValue());
    final DataType dataType = getDataType(mappedFields, miningField.getName().getValue());
    final DATA_TYPE data_TYPE = DATA_TYPE.byName(dataType.value());
    Expression dataTypeExpr = new NameExpr(DATA_TYPE.class.getName() + "." + data_TYPE.name());
    Expression missingValueTreatmentMethodExpr;
    if (miningField.getMissingValueTreatment() != null) {
        final MISSING_VALUE_TREATMENT_METHOD missingValueTreatmentMethod = MISSING_VALUE_TREATMENT_METHOD.byName(miningField.getMissingValueTreatment().value());
        missingValueTreatmentMethodExpr = new NameExpr(MISSING_VALUE_TREATMENT_METHOD.class.getName() + "." + missingValueTreatmentMethod.name());
    } else {
        missingValueTreatmentMethodExpr = new NullLiteralExpr();
    }
    Expression invalidValueTreatmentMethodExpr;
    if (miningField.getInvalidValueTreatment() != null) {
        final INVALID_VALUE_TREATMENT_METHOD invalidValueTreatmentMethod = INVALID_VALUE_TREATMENT_METHOD.byName(miningField.getInvalidValueTreatment().value());
        invalidValueTreatmentMethodExpr = new NameExpr(INVALID_VALUE_TREATMENT_METHOD.class.getName() + "." + invalidValueTreatmentMethod.name());
    } else {
        invalidValueTreatmentMethodExpr = new NullLiteralExpr();
    }
    Expression missingValueReplacementExpr;
    if (miningField.getMissingValueReplacement() != null) {
        final String missingValueReplacement = miningField.getMissingValueReplacement().toString();
        missingValueReplacementExpr = new StringLiteralExpr(missingValueReplacement);
    } else {
        missingValueReplacementExpr = new NullLiteralExpr();
    }
    Expression invalidValueReplacementExpr;
    if (miningField.getInvalidValueReplacement() != null) {
        final String invalidValueReplacement = miningField.getInvalidValueReplacement().toString();
        invalidValueReplacementExpr = new StringLiteralExpr(invalidValueReplacement);
    } else {
        invalidValueReplacementExpr = new NullLiteralExpr();
    }
    DataField dataField = getMappedDataField(mappedFields);
    NodeList<Expression> allowedValuesExpressions = dataField != null ? getAllowedValuesExpressions(dataField) : new NodeList<>();
    NodeList<Expression> intervalsExpressions = dataField != null ? getIntervalsExpressions(dataField) : new NodeList<>();
    builder.setArgument(0, nameExpr);
    getChainedMethodCallExprFrom("withFieldUsageType", initializer).setArgument(0, fieldUsageTypeExpr);
    getChainedMethodCallExprFrom("withOpType", initializer).setArgument(0, opTypeExpr);
    getChainedMethodCallExprFrom("withDataType", initializer).setArgument(0, dataTypeExpr);
    getChainedMethodCallExprFrom("withMissingValueTreatmentMethod", initializer).setArgument(0, missingValueTreatmentMethodExpr);
    getChainedMethodCallExprFrom("withInvalidValueTreatmentMethod", initializer).setArgument(0, invalidValueTreatmentMethodExpr);
    getChainedMethodCallExprFrom("withMissingValueReplacement", initializer).setArgument(0, missingValueReplacementExpr);
    getChainedMethodCallExprFrom("withInvalidValueReplacement", initializer).setArgument(0, invalidValueReplacementExpr);
    getChainedMethodCallExprFrom("withAllowedValues", initializer).getArgument(0).asMethodCallExpr().setArguments(allowedValuesExpressions);
    getChainedMethodCallExprFrom("withIntervals", initializer).getArgument(0).asMethodCallExpr().setArguments(intervalsExpressions);
    miningFieldBody.getStatements().forEach(toReturn::addStatement);
    return toReturn;
}

Example 3 with DATA_TYPE

use of org.kie.pmml.api.enums.DATA_TYPE in project drools by kiegroup.

the class ModelUtilsTest method getTargetFieldsTypeMapWithoutTargetFieldsWithoutTargets.

@Test
public void getTargetFieldsTypeMapWithoutTargetFieldsWithoutTargets() {
    final Model model = new RegressionModel();
    final DataDictionary dataDictionary = new DataDictionary();
    final MiningSchema miningSchema = new MiningSchema();
    IntStream.range(0, 3).forEach(i -> {
        final DataField dataField = getRandomDataField();
        dataDictionary.addDataFields(dataField);
        final MiningField miningField = getMiningField(dataField.getName().getValue(), MiningField.UsageType.ACTIVE);
        miningSchema.addMiningFields(miningField);
    });
    model.setMiningSchema(miningSchema);
    Map<String, DATA_TYPE> retrieved = ModelUtils.getTargetFieldsTypeMap(getFieldsFromDataDictionary(dataDictionary), model);
    assertNotNull(retrieved);
    assertTrue(retrieved.isEmpty());
}

Example 4 with DATA_TYPE

use of org.kie.pmml.api.enums.DATA_TYPE in project drools by kiegroup.

the class PMMLModelTestUtils method getParameterFields.

public static List<ParameterField> getParameterFields() {
    DATA_TYPE[] dataTypes = DATA_TYPE.values();
    List<ParameterField> toReturn = new ArrayList<>();
    for (int i = 0; i < dataTypes.length; i++) {
        DataType dataType = DataType.fromValue(dataTypes[i].getName());
        ParameterField toAdd = getParameterField(dataType.value().toUpperCase(), dataType);
        toReturn.add(toAdd);
    }
    return toReturn;
}

Example 5 with DATA_TYPE

use of org.kie.pmml.api.enums.DATA_TYPE in project drools by kiegroup.

the class KiePMMLDefineFunctionInstanceFactory method getKiePMMLDefineFunction.

static KiePMMLDefineFunction getKiePMMLDefineFunction(final DefineFunction defineFunction) {
    final List<KiePMMLParameterField> kiePMMLParameterFields = getKiePMMLParameterFields(defineFunction.getParameterFields());
    DATA_TYPE dataType = defineFunction.getDataType() != null ? DATA_TYPE.byName(defineFunction.getDataType().value()) : null;
    OP_TYPE opType = defineFunction.getOpType() != null ? OP_TYPE.byName(defineFunction.getOpType().value()) : null;
    return new KiePMMLDefineFunction(defineFunction.getName(), getKiePMMLExtensions(defineFunction.getExtensions()), dataType, opType, kiePMMLParameterFields, getKiePMMLExpression(defineFunction.getExpression()));
}