use of org.optaplanner.core.config.solver.SolverConfig in project kogito-apps by kiegroup.
the class CounterfactualExplainerTest method testNonEmptyInput.
@ParameterizedTest
@ValueSource(ints = { 0, 1, 2 })
void testNonEmptyInput(int seed) throws ExecutionException, InterruptedException, TimeoutException {
Random random = new Random();
random.setSeed(seed);
final List<Output> goal = List.of(new Output("class", Type.NUMBER, new Value(10.0), 0.0d));
List<Feature> features = new LinkedList<>();
for (int i = 0; i < 4; i++) {
features.add(FeatureFactory.newNumericalFeature("f-" + i, random.nextDouble(), NumericalFeatureDomain.create(0.0, 1000.0)));
}
final TerminationConfig terminationConfig = new TerminationConfig().withScoreCalculationCountLimit(10L);
// for the purpose of this test, only a few steps are necessary
final SolverConfig solverConfig = SolverConfigBuilder.builder().withTerminationConfig(terminationConfig).build();
solverConfig.setRandomSeed((long) seed);
solverConfig.setEnvironmentMode(EnvironmentMode.REPRODUCIBLE);
final CounterfactualConfig counterfactualConfig = new CounterfactualConfig().withSolverConfig(solverConfig);
final CounterfactualExplainer counterfactualExplainer = new CounterfactualExplainer(counterfactualConfig);
PredictionProvider model = TestUtils.getSumSkipModel(0);
PredictionInput input = new PredictionInput(features);
PredictionOutput output = new PredictionOutput(goal);
Prediction prediction = new CounterfactualPrediction(input, output, null, UUID.randomUUID(), null);
final CounterfactualResult counterfactualResult = counterfactualExplainer.explainAsync(prediction, model).get(Config.INSTANCE.getAsyncTimeout(), Config.INSTANCE.getAsyncTimeUnit());
for (CounterfactualEntity entity : counterfactualResult.getEntities()) {
logger.debug("Entity: {}", entity);
}
logger.debug("Outputs: {}", counterfactualResult.getOutput().get(0).getOutputs());
assertNotNull(counterfactualResult);
assertNotNull(counterfactualResult.getEntities());
}
use of org.optaplanner.core.config.solver.SolverConfig in project kogito-apps by kiegroup.
the class CounterfactualExplainerTest method testTerminationSpentLimitWhenDefined.
@Test
@SuppressWarnings("unchecked")
void testTerminationSpentLimitWhenDefined() throws ExecutionException, InterruptedException, TimeoutException {
ArgumentCaptor<SolverConfig> solverConfigArgumentCaptor = ArgumentCaptor.forClass(SolverConfig.class);
mockExplainerInvocation(mock(Consumer.class), MAX_RUNNING_TIME_SECONDS);
verify(solverManagerFactory).apply(solverConfigArgumentCaptor.capture());
SolverConfig solverConfig = solverConfigArgumentCaptor.getValue();
assertEquals(MAX_RUNNING_TIME_SECONDS, solverConfig.getTerminationConfig().getSpentLimit().getSeconds());
}
use of org.optaplanner.core.config.solver.SolverConfig in project kogito-apps by kiegroup.
the class AbstractTaskAssigningCoreTest method createDaemonSolver.
protected Solver<TaskAssigningSolution> createDaemonSolver() {
SolverConfig config = createBaseConfig();
config.setDaemon(true);
SolverFactory<TaskAssigningSolution> solverFactory = SolverFactory.create(config);
return solverFactory.buildSolver();
}
use of org.optaplanner.core.config.solver.SolverConfig in project kogito-apps by kiegroup.
the class PrequalificationDmnCounterfactualExplainerTest method testValidCounterfactual.
@Test
void testValidCounterfactual() throws ExecutionException, InterruptedException, TimeoutException {
PredictionProvider model = getModel();
final List<Output> goal = List.of(new Output("Qualified?", Type.BOOLEAN, new Value(true), 0.0d));
final TerminationConfig terminationConfig = new TerminationConfig().withScoreCalculationCountLimit(steps);
final SolverConfig solverConfig = SolverConfigBuilder.builder().withTerminationConfig(terminationConfig).build();
solverConfig.setRandomSeed(randomSeed);
solverConfig.setEnvironmentMode(EnvironmentMode.REPRODUCIBLE);
CounterfactualConfig config = new CounterfactualConfig().withGoalThreshold(0.1);
config.withSolverConfig(solverConfig);
final CounterfactualExplainer explainer = new CounterfactualExplainer(config);
PredictionInput input = getTestInputVariable();
PredictionOutput output = new PredictionOutput(goal);
// test model
List<PredictionOutput> predictionOutputs = model.predictAsync(List.of(getTestInputFixed())).get(Config.INSTANCE.getAsyncTimeout(), Config.INSTANCE.getAsyncTimeUnit());
final Output predictionOutput = predictionOutputs.get(0).getOutputs().get(0);
assertEquals("Qualified?", predictionOutput.getName());
assertFalse((Boolean) predictionOutput.getValue().getUnderlyingObject());
Prediction prediction = new CounterfactualPrediction(input, output, null, UUID.randomUUID(), null);
CounterfactualResult counterfactualResult = explainer.explainAsync(prediction, model).get();
List<Feature> cfFeatures = counterfactualResult.getEntities().stream().map(CounterfactualEntity::asFeature).collect(Collectors.toList());
List<Feature> unflattened = CompositeFeatureUtils.unflattenFeatures(cfFeatures, input.getFeatures());
List<PredictionOutput> outputs = model.predictAsync(List.of(new PredictionInput(unflattened))).get();
assertTrue(counterfactualResult.isValid());
final Output decideOutput = outputs.get(0).getOutputs().get(0);
assertEquals("Qualified?", decideOutput.getName());
assertTrue((Boolean) decideOutput.getValue().getUnderlyingObject());
}
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