def train(self, dataset, trainbags):
self.bagnames = dataset.getBagNames()
self.state = self.initialize(dataset, trainbags)
gd = GradientDescent(self.lrate,
self.logPosterior, self.grad_logPosterior,
self.state.vectorize(), (dataset, trainbags),
self.max_iter, sys.stdout)
state_vec = gd.minimize()
self.state = self.state.devectorize(state_vec)
if self.islearnthres == 1:
self.learnThres(dataset, trainbags)
