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

Example 31 with DataDictionary

use of org.dmg.pmml.DataDictionary 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 32 with DataDictionary

use of org.dmg.pmml.DataDictionary 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 33 with DataDictionary

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

the class ModelUtilsTest method getDataTypeFromDataDictionary.

@Test
public void getDataTypeFromDataDictionary() {
    final DataDictionary dataDictionary = new DataDictionary();
    IntStream.range(0, 3).forEach(i -> {
        final DataField dataField = getRandomDataField();
        dataDictionary.addDataFields(dataField);
    });
    dataDictionary.getDataFields().forEach(dataField -> {
        DATA_TYPE retrieved = ModelUtils.getDATA_TYPE(getFieldsFromDataDictionary(dataDictionary), dataField.getName().getValue());
        assertNotNull(retrieved);
        DATA_TYPE expected = DATA_TYPE.byName(dataField.getDataType().value());
        assertEquals(expected, retrieved);
    });
}

Example 34 with DataDictionary

use of org.dmg.pmml.DataDictionary 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 35 with DataDictionary

use of org.dmg.pmml.DataDictionary 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());
}