Examples with AbstractTreeToken org.kie.pmml.pmml_4_2.model.tree.AbstractTreeToken used on opensource projects

Example 1 with AbstractTreeToken

use of org.kie.pmml.pmml_4_2.model.tree.AbstractTreeToken in project drools by kiegroup.

the class DecisionTreeTest method testMissingTreeWeighted2.

@Test
public void testMissingTreeWeighted2() throws Exception {
    Resource res = ResourceFactory.newClassPathResource(source2);
    KieBase kbase = new KieHelper().addResource(res, ResourceType.PMML).build();
    RuleUnitExecutor executor = RuleUnitExecutor.create().bind(kbase);
    KieRuntimeLogger console = ((InternalRuleUnitExecutor) executor).addConsoleLogger();
    PMMLRequestData requestData = new PMMLRequestData("123", "Missing");
    requestData.addRequestParam(new ParameterInfo<>("123", "fld1", Double.class, -1.0));
    requestData.addRequestParam(new ParameterInfo<>("123", "fld2", Double.class, -1.0));
    requestData.addRequestParam(new ParameterInfo<>("123", "fld3", String.class, "miss"));
    PMML4Result resultHolder = new PMML4Result();
    DataSource<PMMLRequestData> data = executor.newDataSource("request");
    DataSource<PMML4Result> results = executor.newDataSource("results");
    DataSource<PMML4Data> pmmlData = executor.newDataSource("pmmlData");
    List<String> possiblePackages = calculatePossiblePackageNames("Missing");
    Class<? extends RuleUnit> unitClass = getStartingRuleUnit("RuleUnitIndicator", (InternalKnowledgeBase) kbase, possiblePackages);
    assertNotNull(unitClass);
    int x = executor.run(unitClass);
    data.insert(requestData);
    results.insert(resultHolder);
    executor.run(unitClass);
    console.close();
    System.out.println(resultHolder);
    Collection<?> objects = ((InternalRuleUnitExecutor) executor).getSessionObjects();
    objects.forEach(o -> {
        System.out.println(o);
    });
    pmmlData.forEach(pd -> {
        System.out.println(pd);
    });
    AbstractTreeToken token = (AbstractTreeToken) resultHolder.getResultValue("MissingTreeToken", null);
    assertNotNull(token);
    assertEquals(0.6, token.getConfidence(), 1e-6);
    assertEquals("null", token.getCurrent());
    assertEquals(100.0, token.getTotalCount(), 0.0);
    Object fld9 = resultHolder.getResultValue("Fld9", null);
    assertNotNull(fld9);
    String value = (String) resultHolder.getResultValue("Fld9", "value");
    assertNotNull(value);
    assertEquals("tgtX", value);
}

Example 2 with AbstractTreeToken

use of org.kie.pmml.pmml_4_2.model.tree.AbstractTreeToken in project drools by kiegroup.

the class DecisionTreeTest method testMissingTreeWeighted1.

@Test
public void testMissingTreeWeighted1() throws Exception {
    Resource res = ResourceFactory.newClassPathResource(source2);
    KieBase kbase = new KieHelper().addResource(res, ResourceType.PMML).build();
    RuleUnitExecutor executor = RuleUnitExecutor.create().bind(kbase);
    KieRuntimeLogger console = ((InternalRuleUnitExecutor) executor).addConsoleLogger();
    PMMLRequestData requestData = new PMMLRequestData("123", "Missing");
    requestData.addRequestParam(new ParameterInfo<>("123", "fld1", Double.class, -1.0));
    requestData.addRequestParam(new ParameterInfo<>("123", "fld2", Double.class, -1.0));
    requestData.addRequestParam(new ParameterInfo<>("123", "fld3", String.class, "optA"));
    PMML4Result resultHolder = new PMML4Result();
    // , requestData);
    DataSource<PMMLRequestData> data = executor.newDataSource("request");
    // , resultHolder);
    DataSource<PMML4Result> results = executor.newDataSource("results");
    DataSource<PMML4Data> pmmlData = executor.newDataSource("pmmlData");
    List<String> possiblePackages = calculatePossiblePackageNames("Missing");
    Class<? extends RuleUnit> unitClass = getStartingRuleUnit("RuleUnitIndicator", (InternalKnowledgeBase) kbase, possiblePackages);
    assertNotNull(unitClass);
    int x = executor.run(unitClass);
    data.insert(requestData);
    results.insert(resultHolder);
    int y = executor.run(unitClass);
    console.close();
    System.out.println(resultHolder);
    Collection<?> objects = ((InternalRuleUnitExecutor) executor).getSessionObjects();
    objects.forEach(o -> {
        System.out.println(o);
    });
    pmmlData.forEach(pd -> {
        System.out.println(pd);
    });
    AbstractTreeToken missingTreeToken = (AbstractTreeToken) resultHolder.getResultValue("MissingTreeToken", null);
    assertNotNull(missingTreeToken);
    assertEquals(0.8, missingTreeToken.getConfidence(), 0.0);
    assertEquals("null", missingTreeToken.getCurrent());
    assertEquals(50.0, missingTreeToken.getTotalCount(), 0.0);
    Object fld9 = resultHolder.getResultValue("Fld9", null);
    assertNotNull(fld9);
    String value = (String) resultHolder.getResultValue("Fld9", "value");
    assertNotNull(value);
    assertEquals("tgtX", value);
}

Example 3 with AbstractTreeToken

use of org.kie.pmml.pmml_4_2.model.tree.AbstractTreeToken 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 4 with AbstractTreeToken

use of org.kie.pmml.pmml_4_2.model.tree.AbstractTreeToken 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);
}