use of org.dmg.pmml.MiningField 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);
}
use of org.dmg.pmml.MiningField 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);
});
}
use of org.dmg.pmml.MiningField in project drools by kiegroup.
the class PMMLModelTestUtils method getMiningSchema.
public static MiningSchema getMiningSchema(List<MiningField> miningFields) {
MiningSchema toReturn = new MiningSchema();
toReturn.addMiningFields(miningFields.toArray(new MiningField[0]));
return toReturn;
}
use of org.dmg.pmml.MiningField 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());
}
use of org.dmg.pmml.MiningField 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());
});
}
Aggregations