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

Example 26 with Output

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

the class CounterfactualScoreCalculatorTest method timeDistanceNull.

@Test
void timeDistanceNull() {
    final LocalTime value = LocalTime.of(17, 17);
    // Null as a goal
    Feature predictionFeature = FeatureFactory.newTimeFeature("x", value);
    Feature goalFeature = FeatureFactory.newTimeFeature("y", null);
    Output predictionOutput = outputFromFeature(predictionFeature);
    Output goalOutput = outputFromFeature(goalFeature);
    double distance = CounterFactualScoreCalculator.outputDistance(predictionOutput, goalOutput);
    assertEquals(Type.TIME, goalOutput.getType());
    assertEquals(1.0, distance);
    // Null as a prediction
    predictionFeature = FeatureFactory.newTimeFeature("x", null);
    goalFeature = FeatureFactory.newTimeFeature("y", value);
    predictionOutput = outputFromFeature(predictionFeature);
    goalOutput = outputFromFeature(goalFeature);
    distance = CounterFactualScoreCalculator.outputDistance(predictionOutput, goalOutput);
    assertEquals(Type.TIME, predictionOutput.getType());
    assertEquals(1.0, distance);
    // Null as both prediction and goal
    predictionFeature = FeatureFactory.newTimeFeature("x", null);
    goalFeature = FeatureFactory.newTimeFeature("y", null);
    predictionOutput = outputFromFeature(predictionFeature);
    goalOutput = outputFromFeature(goalFeature);
    distance = CounterFactualScoreCalculator.outputDistance(predictionOutput, goalOutput);
    assertEquals(Type.TIME, predictionOutput.getType());
}

Example 27 with Output

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

the class CounterfactualScoreCalculatorTest method currencyDistanceNull.

@ParameterizedTest
@ValueSource(ints = { 0, 1, 2, 3, 4 })
void currencyDistanceNull(int seed) {
    final Random random = new Random(seed);
    final Currency value = Currency.getInstance(Locale.UK);
    // Null as a goal
    Feature predictionFeature = FeatureFactory.newCurrencyFeature("x", value);
    Feature goalFeature = FeatureFactory.newCurrencyFeature("y", null);
    Output predictionOutput = outputFromFeature(predictionFeature);
    Output goalOutput = outputFromFeature(goalFeature);
    double distance = CounterFactualScoreCalculator.outputDistance(predictionOutput, goalOutput);
    assertEquals(Type.CURRENCY, goalOutput.getType());
    assertEquals(1.0, distance);
    // Null as a prediction
    predictionFeature = FeatureFactory.newCurrencyFeature("x", null);
    goalFeature = FeatureFactory.newCurrencyFeature("y", value);
    predictionOutput = outputFromFeature(predictionFeature);
    goalOutput = outputFromFeature(goalFeature);
    distance = CounterFactualScoreCalculator.outputDistance(predictionOutput, goalOutput);
    assertEquals(Type.CURRENCY, predictionOutput.getType());
    assertEquals(1.0, distance);
    // Null as both prediction and goal
    predictionFeature = FeatureFactory.newCurrencyFeature("x", null);
    goalFeature = FeatureFactory.newCurrencyFeature("y", null);
    predictionOutput = outputFromFeature(predictionFeature);
    goalOutput = outputFromFeature(goalFeature);
    distance = CounterFactualScoreCalculator.outputDistance(predictionOutput, goalOutput);
    assertEquals(Type.CURRENCY, predictionOutput.getType());
}

Example 28 with Output

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

the class CounterfactualScoreCalculatorTest method TextDistanceDifferentValue.

@ParameterizedTest
@ValueSource(ints = { 0, 1, 2, 3, 4 })
void TextDistanceDifferentValue(int seed) {
    final Random random = new Random(seed);
    Feature x = FeatureFactory.newTextFeature("x", UUID.randomUUID().toString());
    Feature y = FeatureFactory.newTextFeature("y", UUID.randomUUID().toString());
    Output ox = outputFromFeature(x);
    Output oy = outputFromFeature(y);
    double distance = CounterFactualScoreCalculator.outputDistance(ox, oy);
    assertEquals(Type.TEXT, ox.getType());
    assertEquals(Type.TEXT, oy.getType());
    assertEquals(1.0, distance);
}

Example 29 with Output

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

the class CounterfactualScoreCalculatorTest method differentFeatureTypes.

@Test
void differentFeatureTypes() {
    Feature x = FeatureFactory.newCategoricalFeature("x", UUID.randomUUID().toString());
    Feature y = FeatureFactory.newNumericalFeature("y", 0.0);
    Output ox = outputFromFeature(x);
    Output oy = outputFromFeature(y);
    IllegalArgumentException exception = assertThrows(IllegalArgumentException.class, () -> {
        CounterFactualScoreCalculator.outputDistance(ox, oy);
    });
    assertEquals("Features must have the same type. Feature 'x', has type 'categorical' and 'number'", exception.getMessage());
}

Example 30 with Output

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

the class CounterfactualScoreCalculatorTest method currencyDistanceDifferentValue.

@ParameterizedTest
@ValueSource(ints = { 0, 1, 2, 3, 4 })
void currencyDistanceDifferentValue(int seed) {
    final Random random = new Random(seed);
    Feature x = FeatureFactory.newCurrencyFeature("x", Currency.getInstance("GBP"));
    Feature y = FeatureFactory.newCurrencyFeature("y", Currency.getInstance("EUR"));
    Output ox = outputFromFeature(x);
    Output oy = outputFromFeature(y);
    double distance = CounterFactualScoreCalculator.outputDistance(ox, oy);
    assertEquals(Type.CURRENCY, ox.getType());
    assertEquals(Type.CURRENCY, oy.getType());
    assertEquals(1.0, distance);
    // Use a random threshold, mustn't make a difference
    distance = CounterFactualScoreCalculator.outputDistance(ox, oy, random.nextDouble());
    assertEquals(1.0, distance);
}