/** Test of constructors of class CategoryBalancedBaggingLearner. */
@Test
public void testConstructors() {
Perceptron learner = null;
double percentToSample = BaggingCategorizerLearner.DEFAULT_PERCENT_TO_SAMPLE;
int maxIterations = BaggingCategorizerLearner.DEFAULT_MAX_ITERATIONS;
CategoryBalancedBaggingLearner<Vector, Boolean> instance =
new CategoryBalancedBaggingLearner<Vector, Boolean>();
assertSame(learner, instance.getLearner());
assertEquals(percentToSample, instance.getPercentToSample(), 0.0);
assertEquals(maxIterations, instance.getMaxIterations());
assertNotNull(instance.getRandom());
learner = new Perceptron();
instance = new CategoryBalancedBaggingLearner<Vector, Boolean>(learner);
assertSame(learner, instance.getLearner());
assertEquals(percentToSample, instance.getPercentToSample(), 0.0);
assertEquals(maxIterations, instance.getMaxIterations());
assertNotNull(instance.getRandom());
percentToSample = percentToSample / 3.4;
maxIterations = maxIterations * 9;
instance =
new CategoryBalancedBaggingLearner<Vector, Boolean>(
learner, maxIterations, percentToSample, random);
assertSame(learner, instance.getLearner());
assertEquals(percentToSample, instance.getPercentToSample(), 0.0);
assertEquals(maxIterations, instance.getMaxIterations());
assertSame(random, instance.getRandom());
}
