/** Test of setBurnInIterations method, of class LatentDirichletAllocationVectorGibbsSampler. */
@Test
public void testSetBurnInIterations() {
int burnInIterations = LatentDirichletAllocationVectorGibbsSampler.DEFAULT_BURN_IN_ITERATIONS;
LatentDirichletAllocationVectorGibbsSampler instance =
new LatentDirichletAllocationVectorGibbsSampler();
assertEquals(burnInIterations, instance.getBurnInIterations());
burnInIterations = 0;
instance.setBurnInIterations(burnInIterations);
assertEquals(burnInIterations, instance.getBurnInIterations());
burnInIterations = 101;
instance.setBurnInIterations(burnInIterations);
assertEquals(burnInIterations, instance.getBurnInIterations());
boolean exceptionThrown = false;
try {
instance.setBurnInIterations(-1);
} catch (IllegalArgumentException e) {
exceptionThrown = true;
} finally {
assertTrue(exceptionThrown);
}
assertEquals(burnInIterations, instance.getBurnInIterations());
}
/** Test of constructors of class LatentDirichletAllocationVectorGibbsSampler. */
@Test
public void testConstructors() {
int topicCount = LatentDirichletAllocationVectorGibbsSampler.DEFAULT_TOPIC_COUNT;
double alpha = LatentDirichletAllocationVectorGibbsSampler.DEFAULT_ALPHA;
double beta = LatentDirichletAllocationVectorGibbsSampler.DEFAULT_BETA;
int maxIterations = LatentDirichletAllocationVectorGibbsSampler.DEFAULT_MAX_ITERATIONS;
int burnInIterations = LatentDirichletAllocationVectorGibbsSampler.DEFAULT_BURN_IN_ITERATIONS;
int iterationsPerSample =
LatentDirichletAllocationVectorGibbsSampler.DEFAULT_ITERATIONS_PER_SAMPLE;
LatentDirichletAllocationVectorGibbsSampler instance =
new LatentDirichletAllocationVectorGibbsSampler();
assertEquals(topicCount, instance.getTopicCount());
assertEquals(alpha, instance.getAlpha(), 0.0);
assertEquals(beta, instance.getBeta(), 0.0);
assertEquals(maxIterations, instance.getMaxIterations());
assertEquals(burnInIterations, instance.getBurnInIterations());
assertEquals(iterationsPerSample, instance.getIterationsPerSample());
assertNotNull(instance.getRandom());
topicCount = 1 + random.nextInt(100);
alpha = random.nextDouble() * 10.0;
beta = random.nextDouble() * 10.0;
maxIterations = 1 + random.nextInt(100000);
burnInIterations = random.nextInt(1000);
iterationsPerSample = random.nextInt(100);
instance =
new LatentDirichletAllocationVectorGibbsSampler(
topicCount, alpha, beta, maxIterations, burnInIterations, iterationsPerSample, random);
assertEquals(topicCount, instance.getTopicCount());
assertEquals(alpha, instance.getAlpha(), 0.0);
assertEquals(beta, instance.getBeta(), 0.0);
assertEquals(maxIterations, instance.getMaxIterations());
assertEquals(burnInIterations, instance.getBurnInIterations());
assertEquals(iterationsPerSample, instance.getIterationsPerSample());
assertSame(random, instance.getRandom());
}