Examples with PMML4Result org.kie.api.pmml.PMML4Result used on opensource projects

Example 21 with PMML4Result

use of org.kie.api.pmml.PMML4Result in project drools by kiegroup.

the class DecisionTreeTest method testNullPredictionMissingValueStrategy.

@Test
public void testNullPredictionMissingValueStrategy() {
    KieBase kieBase = PMMLKieBaseUtil.createKieBaseWithPMML(TREE_RETURN_NULL_MISSING_STRATEGY);
    PMMLExecutor executor = new PMMLExecutor(kieBase);
    PMMLRequestData request = new PMMLRequestData("123", "TreeTest");
    request.addRequestParam("fld1", 30.0);
    PMML4Result resultHolder = executor.run(request);
    Assertions.assertThat(resultHolder).isNotNull();
    String targetValue = resultHolder.getResultValue("Fld3", "value", String.class).orElse(null);
    Assertions.assertThat(targetValue).isEqualTo("tgtY");
    request = new PMMLRequestData("123", "TreeTest");
    request.addRequestParam("fld1", 100.0);
    resultHolder = executor.run(request);
    Assertions.assertThat(resultHolder).isNotNull();
    targetValue = resultHolder.getResultValue("Fld3", "value", String.class).orElse(null);
    Assertions.assertThat(targetValue).isNull();
}

Example 22 with PMML4Result

use of org.kie.api.pmml.PMML4Result in project drools by kiegroup.

the class DecisionTreeTest method testMissingTree.

@Test
public void testMissingTree() throws Exception {
    RuleUnitExecutor executor = createExecutor(source2);
    PMMLRequestData requestData = new PMMLRequestData("123", "Missing");
    requestData.addRequestParam(new ParameterInfo<>("123", "fld1", Double.class, 45.0));
    requestData.addRequestParam(new ParameterInfo<>("123", "fld2", Double.class, 60.0));
    requestData.addRequestParam(new ParameterInfo<>("123", "fld3", String.class, "optA"));
    PMML4Result resultHolder = new PMML4Result();
    List<String> possiblePackages = calculatePossiblePackageNames("Missing");
    Class<? extends RuleUnit> unitClass = getStartingRuleUnit("RuleUnitIndicator", (InternalKnowledgeBase) kbase, possiblePackages);
    assertNotNull(unitClass);
    // initializes the model
    int x = executor.run(unitClass);
    data.insert(requestData);
    resultData.insert(resultHolder);
    executor.run(unitClass);
    AbstractTreeToken missingTreeToken = resultHolder.getResultValue("MissingTreeToken", null, AbstractTreeToken.class).orElse(null);
    assertNotNull(missingTreeToken);
    Double tokVal = resultHolder.getResultValue("MissingTreeToken", "confidence", Double.class).orElse(null);
    assertNotNull(tokVal);
    assertEquals(0.6, tokVal, 0.0);
    String current = resultHolder.getResultValue("MissingTreeToken", "current", String.class).orElse(null);
    assertNotNull(current);
    assertEquals("null", current);
    Object fld9 = resultHolder.getResultValue("Fld9", null);
    assertNotNull(fld9);
    String fld9Val = resultHolder.getResultValue("Fld9", "value", String.class).orElse(null);
    assertNotNull(fld9Val);
    assertEquals("tgtZ", fld9Val);
}

Example 23 with PMML4Result

use of org.kie.api.pmml.PMML4Result in project drools by kiegroup.

the class MiningmodelTest method testWithRegression.

@Test
public void testWithRegression() {
    RuleUnitExecutor executor = createExecutor(source2);
    // KieRuntimeLogger console = ((InternalRuleUnitExecutor)executor).addConsoleLogger();
    PMMLRequestData request = new PMMLRequestData("123", "SampleScorecardMine");
    request.addRequestParam("fld1r", 1.0);
    request.addRequestParam("fld2r", 1.0);
    request.addRequestParam("fld3r", "x");
    PMML4Result resultHolder = new PMML4Result();
    resultHolder.setCorrelationId(request.getCorrelationId());
    DataSource<PMMLRequestData> childModelRequest = executor.newDataSource("childModelRequest");
    DataSource<PMML4Result> childModelResults = executor.newDataSource("childModelResults");
    DataSource<SegmentExecution> childModelSegments = executor.newDataSource("childModelSegments");
    DataSource<? extends AbstractPMMLData> miningModelPojo = executor.newDataSource("miningModelPojo");
    List<String> possiblePackages = this.calculatePossiblePackageNames("SampleScorecardMine");
    Class<? extends RuleUnit> ruleUnitClass = this.getStartingRuleUnit("Start Mining - SampleScorecardMine", (InternalKnowledgeBase) kbase, possiblePackages);
    assertNotNull(ruleUnitClass);
    data.insert(request);
    resultData.insert(resultHolder);
    executor.run(ruleUnitClass);
    // console.close();
    resultData.forEach(rd -> {
        assertEquals(request.getCorrelationId(), rd.getCorrelationId());
        assertEquals("OK", rd.getResultCode());
        if (rd.getSegmentationId() == null) {
            System.out.println(rd);
            assertNotNull(rd.getResultValue("RegOut", null));
            String regOutValue = rd.getResultValue("RegOut", "value", String.class).orElse(null);
            assertEquals("catC", regOutValue);
            assertNotNull(rd.getResultValue("RegProb", null));
            Double regProbValue = rd.getResultValue("RegProb", "value", Double.class).orElse(null);
            assertEquals(0.709228, regProbValue, 1e-6);
            assertNotNull(rd.getResultValue("RegProbA", null));
            Double regProbValueA = rd.getResultValue("RegProbA", "value", Double.class).orElse(null);
            assertEquals(0.010635, regProbValueA, 1e-6);
        }
    });
    int segmentsExecuted = 0;
    for (Iterator<SegmentExecution> iter = childModelSegments.iterator(); iter.hasNext(); ) {
        SegmentExecution cms = iter.next();
        assertEquals(request.getCorrelationId(), cms.getCorrelationId());
        if (cms.getState() == SegmentExecutionState.COMPLETE)
            segmentsExecuted++;
    }
    assertEquals(1, segmentsExecuted);
}

Example 24 with PMML4Result

use of org.kie.api.pmml.PMML4Result in project drools by kiegroup.

the class MiningmodelTest method testSelectSecondSegmentFirst.

@Test
public void testSelectSecondSegmentFirst() {
    RuleUnitExecutor executor = createExecutor(source1);
    // KieRuntimeLogger console = ((InternalRuleUnitExecutor)executor).addConsoleLogger();
    PMMLRequestData request = new PMMLRequestData("1234", "SampleMine");
    request.addRequestParam(new ParameterInfo<>("1234", "fld1", Double.class, 45.0));
    request.addRequestParam(new ParameterInfo<>("1234", "fld2", Double.class, 60.0));
    request.addRequestParam(new ParameterInfo<>("1234", "fld6", String.class, "optA"));
    PMML4Result resultHolder = new PMML4Result();
    resultHolder.setCorrelationId(request.getCorrelationId());
    DataSource<PMMLRequestData> childModelRequest = executor.newDataSource("childModelRequest");
    DataSource<PMML4Result> childModelResults = executor.newDataSource("childModelResults");
    DataSource<SegmentExecution> childModelSegments = executor.newDataSource("childModelSegments");
    DataSource<? extends AbstractPMMLData> miningModelPojo = executor.newDataSource("miningModelPojo");
    List<String> possiblePackages = this.calculatePossiblePackageNames("SampleMine");
    Class<? extends RuleUnit> ruleUnitClass = this.getStartingRuleUnit("Start Mining - SampleMine", (InternalKnowledgeBase) kbase, possiblePackages);
    assertNotNull(ruleUnitClass);
    data.insert(request);
    resultData.insert(resultHolder);
    executor.run(ruleUnitClass);
    // console.close();
    resultData.forEach(rd -> {
        assertEquals(request.getCorrelationId(), rd.getCorrelationId());
        assertEquals("OK", rd.getResultCode());
        if (rd.getSegmentationId() == null) {
            assertNotNull(rd.getResultValue("Fld5", null));
            String value = rd.getResultValue("Fld5", "value", String.class).orElse(null);
            assertEquals("tgtZ", value);
            AbstractTreeToken token = rd.getResultValue("MissingTreeToken", null, AbstractTreeToken.class).orElse(null);
            assertNotNull(token);
            assertEquals(0.6, token.getConfidence().doubleValue(), 0.0);
            assertEquals("null", token.getCurrent());
        }
    });
    int segmentsExecuted = 0;
    for (Iterator<SegmentExecution> iter = childModelSegments.iterator(); iter.hasNext(); ) {
        SegmentExecution cms = iter.next();
        assertEquals(request.getCorrelationId(), cms.getCorrelationId());
        if (cms.getState() == SegmentExecutionState.COMPLETE)
            segmentsExecuted++;
    }
    assertEquals(1, segmentsExecuted);
}

Example 25 with PMML4Result

use of org.kie.api.pmml.PMML4Result in project drools by kiegroup.

the class ScorecardTest method testSimpleScorecard.

@Test
public void testSimpleScorecard() {
    KieBase kieBase = PMMLKieBaseUtil.createKieBaseWithPMML(SOURCE_SIMPLE_SCORECARD);
    PMMLExecutor executor = new PMMLExecutor(kieBase);
    PMMLRequestData requestData = new PMMLRequestData("123", "SimpleScorecard");
    requestData.addRequestParam("param1", 10.0);
    requestData.addRequestParam("param2", 15.0);
    PMML4Result resultHolder = executor.run(requestData);
    double score = resultHolder.getResultValue("ScoreCard", "score", Double.class).get();
    Assertions.assertThat(score).isEqualTo(40.8);
    Map<String, Double> rankingMap = (Map<String, Double>) resultHolder.getResultValue("ScoreCard", "ranking");
    Assertions.assertThat(rankingMap.get("reasonCh1")).isEqualTo(5);
    Assertions.assertThat(rankingMap.get("reasonCh2")).isEqualTo(-6);
    requestData = new PMMLRequestData("123", "SimpleScorecard");
    requestData.addRequestParam("param1", 51.0);
    requestData.addRequestParam("param2", 12.0);
    resultHolder = executor.run(requestData);
    score = resultHolder.getResultValue("ScoreCard", "score", Double.class).get();
    Assertions.assertThat(score).isEqualTo(120.8);
    rankingMap = (Map<String, Double>) resultHolder.getResultValue("ScoreCard", "ranking");
    Assertions.assertThat(rankingMap.get("reasonCh1")).isEqualTo(-75);
    Assertions.assertThat(rankingMap.get("reasonCh2")).isEqualTo(-6);
}