Examples with DataField org.dmg.pmml.DataField used on opensource projects

Example 96 with DataField

use of org.dmg.pmml.DataField in project drools by kiegroup.

the class ModelUtilsTest method getTargetFieldsWithTargetFieldsWithoutOptType.

@Test
public void getTargetFieldsWithTargetFieldsWithoutOptType() {
    final Model model = new RegressionModel();
    final DataDictionary dataDictionary = new DataDictionary();
    final MiningSchema miningSchema = new MiningSchema();
    IntStream.range(0, 3).forEach(i -> {
        final String fieldName = "fieldName-" + i;
        final DataField dataField = getDataField(fieldName, OpType.CATEGORICAL, DataType.STRING);
        dataDictionary.addDataFields(dataField);
        final MiningField miningField = getMiningField(fieldName, MiningField.UsageType.PREDICTED);
        miningField.setOpType(null);
        miningSchema.addMiningFields(miningField);
    });
    model.setMiningSchema(miningSchema);
    List<KiePMMLNameOpType> retrieved = ModelUtils.getTargetFields(getFieldsFromDataDictionary(dataDictionary), model);
    assertNotNull(retrieved);
    assertEquals(miningSchema.getMiningFields().size(), retrieved.size());
    retrieved.forEach(kiePMMLNameOpType -> {
        assertTrue(miningSchema.getMiningFields().stream().anyMatch(fld -> kiePMMLNameOpType.getName().equals(fld.getName().getValue())));
        Optional<DataField> optionalDataField = dataDictionary.getDataFields().stream().filter(fld -> kiePMMLNameOpType.getName().equals(fld.getName().getValue())).findFirst();
        assertTrue(optionalDataField.isPresent());
        DataField dataField = optionalDataField.get();
        OP_TYPE expected = OP_TYPE.byName(dataField.getOpType().value());
        assertEquals(expected, kiePMMLNameOpType.getOpType());
    });
}

Example 97 with DataField

use of org.dmg.pmml.DataField in project drools by kiegroup.

the class ModelUtilsTest method getOpTypeByDataFieldsNotFound.

@Test(expected = KiePMMLInternalException.class)
public void getOpTypeByDataFieldsNotFound() {
    final Model model = new RegressionModel();
    final DataDictionary dataDictionary = new DataDictionary();
    IntStream.range(0, 3).forEach(i -> {
        String fieldName = "field" + i;
        final DataField dataField = getRandomDataField();
        dataField.setName(FieldName.create(fieldName));
        dataDictionary.addDataFields(dataField);
    });
    ModelUtils.getOpType(getFieldsFromDataDictionary(dataDictionary), model, "NOT_EXISTING");
}

Example 98 with DataField

use of org.dmg.pmml.DataField in project drools by kiegroup.

the class ModelUtilsTest method getTargetFieldTypeWithTargetField.

@Test
public void getTargetFieldTypeWithTargetField() {
    final String fieldName = "fieldName";
    MiningField.UsageType usageType = MiningField.UsageType.PREDICTED;
    MiningField miningField = getMiningField(fieldName, usageType);
    final DataField dataField = getDataField(fieldName, OpType.CATEGORICAL, DataType.STRING);
    final DataDictionary dataDictionary = new DataDictionary();
    dataDictionary.addDataFields(dataField);
    final MiningSchema miningSchema = new MiningSchema();
    miningSchema.addMiningFields(miningField);
    final Model model = new RegressionModel();
    model.setMiningSchema(miningSchema);
    DATA_TYPE retrieved = ModelUtils.getTargetFieldType(getFieldsFromDataDictionary(dataDictionary), model);
    assertNotNull(retrieved);
    assertEquals(DATA_TYPE.STRING, retrieved);
}

Example 99 with DataField

use of org.dmg.pmml.DataField in project drools by kiegroup.

the class ModelUtilsTest method getOpTypeByMiningFields.

@Test
public void getOpTypeByMiningFields() {
    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 = getRandomMiningField();
        miningField.setName(dataField.getName());
        miningSchema.addMiningFields(miningField);
    });
    model.setMiningSchema(miningSchema);
    miningSchema.getMiningFields().forEach(miningField -> {
        OP_TYPE retrieved = ModelUtils.getOpType(getFieldsFromDataDictionary(dataDictionary), model, miningField.getName().getValue());
        assertNotNull(retrieved);
        OP_TYPE expected = OP_TYPE.byName(miningField.getOpType().value());
        assertEquals(expected, retrieved);
    });
}

Example 100 with DataField

use of org.dmg.pmml.DataField in project drools by kiegroup.

the class PMMLModelTestUtils method getRandomMiningModel.

public static MiningModel getRandomMiningModel(DataDictionary dataDictionary) {
    MiningModel toReturn = new MiningModel();
    List<DataField> dataFields = dataDictionary.getDataFields();
    MiningSchema miningSchema = new MiningSchema();
    IntStream.range(0, dataFields.size() - 1).forEach(i -> {
        DataField dataField = dataFields.get(i);
        MiningField miningField = new MiningField();
        miningField.setName(dataField.getName());
        miningField.setUsageType(MiningField.UsageType.ACTIVE);
        miningSchema.addMiningFields(miningField);
    });
    DataField lastDataField = dataFields.get(dataFields.size() - 1);
    MiningField predictedMiningField = new MiningField();
    predictedMiningField.setName(lastDataField.getName());
    predictedMiningField.setUsageType(MiningField.UsageType.PREDICTED);
    miningSchema.addMiningFields(predictedMiningField);
    Output output = new Output();
    OutputField outputField = new OutputField();
    outputField.setName(FieldName.create("OUTPUT_" + lastDataField.getName().getValue()));
    outputField.setDataType(lastDataField.getDataType());
    outputField.setOpType(getRandomOpType());
    toReturn.setModelName(RandomStringUtils.random(6, true, false));
    toReturn.setMiningSchema(miningSchema);
    toReturn.setOutput(output);
    TestModel testModel = getRandomTestModel(dataDictionary);
    Segment segment = new Segment();
    segment.setModel(testModel);
    Segmentation segmentation = new Segmentation();
    segmentation.addSegments(segment);
    toReturn.setSegmentation(segmentation);
    return toReturn;
}