// Create a model with numTopics, alpha_t = 0.01, beta_w = 0.01
// Note that the first parameter is passed as the sum over topics, while
// the second is the parameter for a single dimension of the Dirichlet prior.
ParallelTopicModel model = new ParallelTopicModel(numTopics, 1.0, 0.01);
model.addInstances(instances);
model.setNumThreads(1); // Important, since this is being run in the reduce, just use one thread
model.setTopicDisplay(0,0);
model.setNumIterations(2000);
model.estimate();