Examples with PredictionProviderMetadata org.kie.kogito.explainability.model.PredictionProviderMetadata used on opensource projects

Example 1 with PredictionProviderMetadata

use of org.kie.kogito.explainability.model.PredictionProviderMetadata in project kogito-apps by kiegroup.

the class AggregatedLimeExplainerTest method testExplainWithMetadata.

@ParameterizedTest
@ValueSource(ints = { 0, 1, 2, 3, 4 })
void testExplainWithMetadata(int seed) throws ExecutionException, InterruptedException {
    Random random = new Random();
    random.setSeed(seed);
    PredictionProvider sumSkipModel = TestUtils.getSumSkipModel(1);
    PredictionProviderMetadata metadata = new PredictionProviderMetadata() {

        @Override
        public DataDistribution getDataDistribution() {
            return DataUtils.generateRandomDataDistribution(3, 100, random);
        }

        @Override
        public PredictionInput getInputShape() {
            List<Feature> features = new LinkedList<>();
            features.add(FeatureFactory.newNumericalFeature("f0", 0));
            features.add(FeatureFactory.newNumericalFeature("f1", 0));
            features.add(FeatureFactory.newNumericalFeature("f2", 0));
            return new PredictionInput(features);
        }

        @Override
        public PredictionOutput getOutputShape() {
            List<Output> outputs = new LinkedList<>();
            outputs.add(new Output("sum-but1", Type.BOOLEAN, new Value(false), 0d));
            return new PredictionOutput(outputs);
        }
    };
    AggregatedLimeExplainer aggregatedLimeExplainer = new AggregatedLimeExplainer();
    Map<String, Saliency> explain = aggregatedLimeExplainer.explainFromMetadata(sumSkipModel, metadata).get();
    assertNotNull(explain);
    assertEquals(1, explain.size());
    assertTrue(explain.containsKey("sum-but1"));
    Saliency saliency = explain.get("sum-but1");
    assertNotNull(saliency);
    List<String> collect = saliency.getPositiveFeatures(2).stream().map(FeatureImportance::getFeature).map(Feature::getName).collect(Collectors.toList());
    // skipped feature should not appear in top two positive features
    assertFalse(collect.contains("f1"));
}

Example 2 with PredictionProviderMetadata

use of org.kie.kogito.explainability.model.PredictionProviderMetadata in project kogito-apps by kiegroup.

the class PartialDependencePlotExplainerTest method getMetadata.

private PredictionProviderMetadata getMetadata(Random random) {
    return new PredictionProviderMetadata() {

        @Override
        public DataDistribution getDataDistribution() {
            return DataUtils.generateRandomDataDistribution(3, 100, random);
        }

        @Override
        public PredictionInput getInputShape() {
            List<Feature> features = new LinkedList<>();
            features.add(FeatureFactory.newNumericalFeature("f0", 0));
            features.add(FeatureFactory.newNumericalFeature("f1", 0));
            features.add(FeatureFactory.newNumericalFeature("f2", 0));
            return new PredictionInput(features);
        }

        @Override
        public PredictionOutput getOutputShape() {
            List<Output> outputs = new LinkedList<>();
            outputs.add(new Output("sum-but0", Type.BOOLEAN, new Value(false), 0d));
            return new PredictionOutput(outputs);
        }
    };
}