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

Example 91 with DataField

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

the class ModelUtilsTest method getDataTypeNotFound.

@Test(expected = KiePMMLInternalException.class)
public void getDataTypeNotFound() {
    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.getDATA_TYPE(getFieldsFromDataDictionary(dataDictionary), "NOT_EXISTING");
}

Example 92 with DataField

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

the class ModelUtilsTest method getTargetFieldsWithoutTargetFieldsWithTargets.

@Test
public void getTargetFieldsWithoutTargetFieldsWithTargets() {
    final Model model = new RegressionModel();
    final DataDictionary dataDictionary = new DataDictionary();
    final MiningSchema miningSchema = new MiningSchema();
    final Targets targets = new Targets();
    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);
        final Target targetField = getTarget(dataField.getName().getValue(), null);
        targets.addTargets(targetField);
    });
    model.setMiningSchema(miningSchema);
    model.setTargets(targets);
    Map<String, DATA_TYPE> retrieved = ModelUtils.getTargetFieldsTypeMap(getFieldsFromDataDictionary(dataDictionary), model);
    assertNotNull(retrieved);
    assertTrue(retrieved.isEmpty());
}

Example 93 with DataField

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

the class ModelUtilsTest method getTargetFieldsWithTargetFieldsWithTargetsWithOptType.

@Test
public void getTargetFieldsWithTargetFieldsWithTargetsWithOptType() {
    final Model model = new RegressionModel();
    final DataDictionary dataDictionary = new DataDictionary();
    final MiningSchema miningSchema = new MiningSchema();
    final Targets targets = new Targets();
    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(OpType.CONTINUOUS);
        miningSchema.addMiningFields(miningField);
        final Target targetField = getTarget(fieldName, OpType.CATEGORICAL);
        targets.addTargets(targetField);
    });
    model.setMiningSchema(miningSchema);
    model.setTargets(targets);
    List<KiePMMLNameOpType> retrieved = ModelUtils.getTargetFields(getFieldsFromDataDictionary(dataDictionary), model);
    assertNotNull(retrieved);
    assertEquals(miningSchema.getMiningFields().size(), retrieved.size());
    retrieved.forEach(kiePMMLNameOpType -> {
        Optional<Target> optionalTarget = targets.getTargets().stream().filter(fld -> kiePMMLNameOpType.getName().equals(fld.getField().getValue())).findFirst();
        assertTrue(optionalTarget.isPresent());
        Target target = optionalTarget.get();
        OP_TYPE expected = OP_TYPE.byName(target.getOpType().value());
        assertEquals(expected, kiePMMLNameOpType.getOpType());
    });
}

Example 94 with DataField

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

the class ModelUtilsTest method getOpTypeByTargets.

@Test
public void getOpTypeByTargets() {
    final Model model = new RegressionModel();
    final DataDictionary dataDictionary = new DataDictionary();
    final MiningSchema miningSchema = new MiningSchema();
    final Targets targets = new Targets();
    IntStream.range(0, 3).forEach(i -> {
        final DataField dataField = getRandomDataField();
        dataDictionary.addDataFields(dataField);
        final MiningField miningField = getRandomMiningField();
        miningField.setName(dataField.getName());
        miningSchema.addMiningFields(miningField);
        final Target targetField = getRandomTarget();
        targetField.setField(dataField.getName());
        targets.addTargets(targetField);
    });
    model.setMiningSchema(miningSchema);
    model.setTargets(targets);
    getFieldsFromDataDictionary(dataDictionary);
    targets.getTargets().forEach(target -> {
        OP_TYPE retrieved = ModelUtils.getOpType(getFieldsFromDataDictionary(dataDictionary), model, target.getField().getValue());
        assertNotNull(retrieved);
        OP_TYPE expected = OP_TYPE.byName(target.getOpType().value());
        assertEquals(expected, retrieved);
    });
}

Example 95 with DataField

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

the class ModelUtilsTest method getOpTypeByTargetsNotFound.

@Test(expected = KiePMMLInternalException.class)
public void getOpTypeByTargetsNotFound() {
    final Model model = new RegressionModel();
    final DataDictionary dataDictionary = new DataDictionary();
    final MiningSchema miningSchema = new MiningSchema();
    final Targets targets = new Targets();
    IntStream.range(0, 3).forEach(i -> {
        String fieldName = "field" + i;
        final DataField dataField = getRandomDataField();
        dataField.setName(FieldName.create(fieldName));
        dataDictionary.addDataFields(dataField);
        final MiningField miningField = getRandomMiningField();
        miningField.setName(dataField.getName());
        miningSchema.addMiningFields(miningField);
        final Target targetField = getRandomTarget();
        targetField.setField(dataField.getName());
        targets.addTargets(targetField);
    });
    model.setMiningSchema(miningSchema);
    model.setTargets(targets);
    ModelUtils.getOpType(getFieldsFromDataDictionary(dataDictionary), model, "NOT_EXISTING");
}