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Example 1 with OP_TYPE

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

the class ModelUtilsTest method getOpTypeFromFields.

@Test
public void getOpTypeFromFields() {
    Optional<OP_TYPE> opType = ModelUtils.getOpTypeFromFields(null, "vsd");
    assertNotNull(opType);
    assertFalse(opType.isPresent());
    final DataDictionary dataDictionary = new DataDictionary();
    final List<Field<?>> fields = getFieldsFromDataDictionary(dataDictionary);
    opType = ModelUtils.getOpTypeFromFields(fields, "vsd");
    assertNotNull(opType);
    assertFalse(opType.isPresent());
    IntStream.range(0, 3).forEach(i -> {
        final DataField dataField = getRandomDataField();
        dataDictionary.addDataFields(dataField);
    });
    fields.clear();
    fields.addAll(getFieldsFromDataDictionary(dataDictionary));
    dataDictionary.getDataFields().forEach(dataField -> {
        Optional<OP_TYPE> retrieved = ModelUtils.getOpTypeFromFields(fields, dataField.getName().getValue());
        assertNotNull(retrieved);
        assertTrue(retrieved.isPresent());
        OP_TYPE expected = OP_TYPE.byName(dataField.getOpType().value());
        assertEquals(expected, retrieved.get());
    });
}
Also used : PMMLModelTestUtils.getMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getMiningField) DataField(org.dmg.pmml.DataField) ParameterField(org.dmg.pmml.ParameterField) OutputField(org.dmg.pmml.OutputField) PMMLModelTestUtils.getDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getDataField) Field(org.dmg.pmml.Field) DerivedField(org.dmg.pmml.DerivedField) MiningField(org.dmg.pmml.MiningField) PMMLModelTestUtils.getRandomDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomDataField) PMMLModelTestUtils.getRandomOutputField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomOutputField) PMMLModelTestUtils.getRandomMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomMiningField) DataField(org.dmg.pmml.DataField) PMMLModelTestUtils.getDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getDataField) PMMLModelTestUtils.getRandomDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomDataField) OP_TYPE(org.kie.pmml.api.enums.OP_TYPE) DataDictionary(org.dmg.pmml.DataDictionary) CommonTestingUtils.getFieldsFromDataDictionary(org.kie.pmml.compiler.api.CommonTestingUtils.getFieldsFromDataDictionary) Test(org.junit.Test)

Example 2 with OP_TYPE

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

the class ModelUtilsTest method getOpTypeFromMiningFields.

@Test
public void getOpTypeFromMiningFields() {
    Optional<OP_TYPE> opType = ModelUtils.getOpTypeFromMiningFields(null, "vsd");
    assertNotNull(opType);
    assertFalse(opType.isPresent());
    final MiningSchema miningSchema = new MiningSchema();
    opType = ModelUtils.getOpTypeFromMiningFields(miningSchema, "vsd");
    assertNotNull(opType);
    assertFalse(opType.isPresent());
    IntStream.range(0, 3).forEach(i -> {
        final MiningField miningField = getRandomMiningField();
        miningSchema.addMiningFields(miningField);
    });
    miningSchema.getMiningFields().forEach(miningField -> {
        Optional<OP_TYPE> retrieved = ModelUtils.getOpTypeFromMiningFields(miningSchema, miningField.getName().getValue());
        assertNotNull(retrieved);
        assertTrue(retrieved.isPresent());
        OP_TYPE expected = OP_TYPE.byName(miningField.getOpType().value());
        assertEquals(expected, retrieved.get());
    });
}
Also used : PMMLModelTestUtils.getMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getMiningField) MiningField(org.dmg.pmml.MiningField) PMMLModelTestUtils.getRandomMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomMiningField) MiningSchema(org.dmg.pmml.MiningSchema) OP_TYPE(org.kie.pmml.api.enums.OP_TYPE) Test(org.junit.Test)

Example 3 with OP_TYPE

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

the class ModelUtilsTest method getTargetFieldsWithTargetFieldsWithTargetsWithoutOptType.

@Test
public void getTargetFieldsWithTargetFieldsWithTargetsWithoutOptType() {
    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, null);
        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<MiningField> optionalMiningField = miningSchema.getMiningFields().stream().filter(fld -> kiePMMLNameOpType.getName().equals(fld.getName().getValue())).findFirst();
        assertTrue(optionalMiningField.isPresent());
        MiningField miningField = optionalMiningField.get();
        OP_TYPE expected = OP_TYPE.byName(miningField.getOpType().value());
        assertEquals(expected, kiePMMLNameOpType.getOpType());
    });
}
Also used : RESULT_FEATURE(org.kie.pmml.api.enums.RESULT_FEATURE) ModelUtils.getPrefixedName(org.kie.pmml.compiler.api.utils.ModelUtils.getPrefixedName) Arrays(java.util.Arrays) Date(java.util.Date) Model(org.dmg.pmml.Model) MiningSchema(org.dmg.pmml.MiningSchema) OP_TYPE(org.kie.pmml.api.enums.OP_TYPE) Row(org.dmg.pmml.Row) FieldName(org.dmg.pmml.FieldName) FIELD_USAGE_TYPE(org.kie.pmml.api.enums.FIELD_USAGE_TYPE) OpType(org.dmg.pmml.OpType) Map(java.util.Map) InputCell(org.jpmml.model.inlinetable.InputCell) PMMLModelTestUtils.getDataTypes(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getDataTypes) PMMLModelTestUtils.getMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getMiningField) RegressionModel(org.dmg.pmml.regression.RegressionModel) Targets(org.dmg.pmml.Targets) DataType(org.dmg.pmml.DataType) PMMLModelTestUtils.getRandomRow(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomRow) Collectors(java.util.stream.Collectors) PMMLModelTestUtils.getParameterFields(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getParameterFields) DataField(org.dmg.pmml.DataField) List(java.util.List) Assert.assertFalse(org.junit.Assert.assertFalse) Optional(java.util.Optional) PMMLModelTestUtils.getArray(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getArray) PMMLModelTestUtils.getRandomDataType(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomDataType) ParameterField(org.dmg.pmml.ParameterField) IntStream(java.util.stream.IntStream) OutputField(org.dmg.pmml.OutputField) PMMLModelTestUtils.getDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getDataField) HashMap(java.util.HashMap) ArrayList(java.util.ArrayList) LinkedHashMap(java.util.LinkedHashMap) Field(org.dmg.pmml.Field) DerivedField(org.dmg.pmml.DerivedField) KiePMMLInternalException(org.kie.pmml.api.exceptions.KiePMMLInternalException) KiePMMLNameOpType(org.kie.pmml.commons.model.tuples.KiePMMLNameOpType) OutputCell(org.jpmml.model.inlinetable.OutputCell) MiningField(org.dmg.pmml.MiningField) Iterator(java.util.Iterator) Assert.assertNotNull(org.junit.Assert.assertNotNull) Assert.assertTrue(org.junit.Assert.assertTrue) DataDictionary(org.dmg.pmml.DataDictionary) Test(org.junit.Test) PMMLModelTestUtils.getRandomDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomDataField) CommonTestingUtils.getFieldsFromDataDictionary(org.kie.pmml.compiler.api.CommonTestingUtils.getFieldsFromDataDictionary) Target(org.dmg.pmml.Target) DATA_TYPE(org.kie.pmml.api.enums.DATA_TYPE) Array(org.dmg.pmml.Array) PMMLModelTestUtils.getRandomOutputField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomOutputField) PMMLModelTestUtils.getRandomTarget(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomTarget) Assert.assertNull(org.junit.Assert.assertNull) PMMLModelTestUtils.getRandomMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomMiningField) PMMLModelTestUtils.getTarget(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getTarget) PMMLModelTestUtils.getRandomRowWithCells(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomRowWithCells) Assert.assertEquals(org.junit.Assert.assertEquals) PMMLModelTestUtils.getMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getMiningField) MiningField(org.dmg.pmml.MiningField) PMMLModelTestUtils.getRandomMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomMiningField) Targets(org.dmg.pmml.Targets) OP_TYPE(org.kie.pmml.api.enums.OP_TYPE) DataDictionary(org.dmg.pmml.DataDictionary) CommonTestingUtils.getFieldsFromDataDictionary(org.kie.pmml.compiler.api.CommonTestingUtils.getFieldsFromDataDictionary) RegressionModel(org.dmg.pmml.regression.RegressionModel) KiePMMLNameOpType(org.kie.pmml.commons.model.tuples.KiePMMLNameOpType) Target(org.dmg.pmml.Target) PMMLModelTestUtils.getRandomTarget(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomTarget) PMMLModelTestUtils.getTarget(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getTarget) MiningSchema(org.dmg.pmml.MiningSchema) DataField(org.dmg.pmml.DataField) PMMLModelTestUtils.getDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getDataField) PMMLModelTestUtils.getRandomDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomDataField) Model(org.dmg.pmml.Model) RegressionModel(org.dmg.pmml.regression.RegressionModel) Test(org.junit.Test)

Example 4 with OP_TYPE

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

the class ModelUtilsTest method getTargetFieldsWithTargetFieldsWithOptType.

@Test
public void getTargetFieldsWithTargetFieldsWithOptType() {
    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(OpType.CONTINUOUS);
        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 -> {
        Optional<MiningField> optionalMiningField = miningSchema.getMiningFields().stream().filter(fld -> kiePMMLNameOpType.getName().equals(fld.getName().getValue())).findFirst();
        assertTrue(optionalMiningField.isPresent());
        MiningField miningField = optionalMiningField.get();
        OP_TYPE expected = OP_TYPE.byName(miningField.getOpType().value());
        assertEquals(expected, kiePMMLNameOpType.getOpType());
    });
}
Also used : KiePMMLNameOpType(org.kie.pmml.commons.model.tuples.KiePMMLNameOpType) RESULT_FEATURE(org.kie.pmml.api.enums.RESULT_FEATURE) ModelUtils.getPrefixedName(org.kie.pmml.compiler.api.utils.ModelUtils.getPrefixedName) Arrays(java.util.Arrays) Date(java.util.Date) Model(org.dmg.pmml.Model) MiningSchema(org.dmg.pmml.MiningSchema) OP_TYPE(org.kie.pmml.api.enums.OP_TYPE) Row(org.dmg.pmml.Row) FieldName(org.dmg.pmml.FieldName) FIELD_USAGE_TYPE(org.kie.pmml.api.enums.FIELD_USAGE_TYPE) OpType(org.dmg.pmml.OpType) Map(java.util.Map) InputCell(org.jpmml.model.inlinetable.InputCell) PMMLModelTestUtils.getDataTypes(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getDataTypes) PMMLModelTestUtils.getMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getMiningField) RegressionModel(org.dmg.pmml.regression.RegressionModel) Targets(org.dmg.pmml.Targets) DataType(org.dmg.pmml.DataType) PMMLModelTestUtils.getRandomRow(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomRow) Collectors(java.util.stream.Collectors) PMMLModelTestUtils.getParameterFields(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getParameterFields) DataField(org.dmg.pmml.DataField) List(java.util.List) Assert.assertFalse(org.junit.Assert.assertFalse) Optional(java.util.Optional) PMMLModelTestUtils.getArray(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getArray) PMMLModelTestUtils.getRandomDataType(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomDataType) ParameterField(org.dmg.pmml.ParameterField) IntStream(java.util.stream.IntStream) OutputField(org.dmg.pmml.OutputField) PMMLModelTestUtils.getDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getDataField) HashMap(java.util.HashMap) ArrayList(java.util.ArrayList) LinkedHashMap(java.util.LinkedHashMap) Field(org.dmg.pmml.Field) DerivedField(org.dmg.pmml.DerivedField) KiePMMLInternalException(org.kie.pmml.api.exceptions.KiePMMLInternalException) KiePMMLNameOpType(org.kie.pmml.commons.model.tuples.KiePMMLNameOpType) OutputCell(org.jpmml.model.inlinetable.OutputCell) MiningField(org.dmg.pmml.MiningField) Iterator(java.util.Iterator) Assert.assertNotNull(org.junit.Assert.assertNotNull) Assert.assertTrue(org.junit.Assert.assertTrue) DataDictionary(org.dmg.pmml.DataDictionary) Test(org.junit.Test) PMMLModelTestUtils.getRandomDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomDataField) CommonTestingUtils.getFieldsFromDataDictionary(org.kie.pmml.compiler.api.CommonTestingUtils.getFieldsFromDataDictionary) Target(org.dmg.pmml.Target) DATA_TYPE(org.kie.pmml.api.enums.DATA_TYPE) Array(org.dmg.pmml.Array) PMMLModelTestUtils.getRandomOutputField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomOutputField) PMMLModelTestUtils.getRandomTarget(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomTarget) Assert.assertNull(org.junit.Assert.assertNull) PMMLModelTestUtils.getRandomMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomMiningField) PMMLModelTestUtils.getTarget(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getTarget) PMMLModelTestUtils.getRandomRowWithCells(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomRowWithCells) Assert.assertEquals(org.junit.Assert.assertEquals) PMMLModelTestUtils.getMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getMiningField) MiningField(org.dmg.pmml.MiningField) PMMLModelTestUtils.getRandomMiningField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomMiningField) MiningSchema(org.dmg.pmml.MiningSchema) DataField(org.dmg.pmml.DataField) PMMLModelTestUtils.getDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getDataField) PMMLModelTestUtils.getRandomDataField(org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomDataField) Model(org.dmg.pmml.Model) RegressionModel(org.dmg.pmml.regression.RegressionModel) OP_TYPE(org.kie.pmml.api.enums.OP_TYPE) DataDictionary(org.dmg.pmml.DataDictionary) CommonTestingUtils.getFieldsFromDataDictionary(org.kie.pmml.compiler.api.CommonTestingUtils.getFieldsFromDataDictionary) RegressionModel(org.dmg.pmml.regression.RegressionModel) Test(org.junit.Test)

Example 5 with OP_TYPE

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

the class CommonCodegenUtils method getExpressionForOpType.

public static Expression getExpressionForOpType(OpType opTypeParam) {
    final Expression toReturn;
    if (opTypeParam != null) {
        final OP_TYPE opType = OP_TYPE.byName(opTypeParam.value());
        toReturn = new NameExpr(OP_TYPE.class.getName() + "." + opType.name());
    } else {
        toReturn = new NullLiteralExpr();
    }
    return toReturn;
}
Also used : NullLiteralExpr(com.github.javaparser.ast.expr.NullLiteralExpr) Expression(com.github.javaparser.ast.expr.Expression) NameExpr(com.github.javaparser.ast.expr.NameExpr) OP_TYPE(org.kie.pmml.api.enums.OP_TYPE)

Aggregations

OP_TYPE (org.kie.pmml.api.enums.OP_TYPE)31 DATA_TYPE (org.kie.pmml.api.enums.DATA_TYPE)14 DataField (org.dmg.pmml.DataField)13 Test (org.junit.Test)13 MiningField (org.dmg.pmml.MiningField)12 DataDictionary (org.dmg.pmml.DataDictionary)8 MiningSchema (org.dmg.pmml.MiningSchema)8 OutputField (org.dmg.pmml.OutputField)8 CommonTestingUtils.getFieldsFromDataDictionary (org.kie.pmml.compiler.api.CommonTestingUtils.getFieldsFromDataDictionary)8 PMMLModelTestUtils.getDataField (org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getDataField)8 PMMLModelTestUtils.getMiningField (org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getMiningField)8 PMMLModelTestUtils.getRandomDataField (org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomDataField)8 PMMLModelTestUtils.getRandomMiningField (org.kie.pmml.compiler.api.testutils.PMMLModelTestUtils.getRandomMiningField)8 Model (org.dmg.pmml.Model)7 Target (org.dmg.pmml.Target)7 RegressionModel (org.dmg.pmml.regression.RegressionModel)7 FIELD_USAGE_TYPE (org.kie.pmml.api.enums.FIELD_USAGE_TYPE)7 DataType (org.dmg.pmml.DataType)6 DerivedField (org.dmg.pmml.DerivedField)6 ParameterField (org.dmg.pmml.ParameterField)6