searchers.py 文件源码

def sample_models(self, nsamples):
        b = self.b_search

        samples = []
        choice_hists = []
        for _ in xrange(nsamples):
            bk = copy.deepcopy(b)
            bk.initialize(self.in_d, Scope())
            hist = []
            while( not bk.is_specified() ):
                name, vals = bk.get_choices()
                #print(name, vals)
                assert len(vals) > 1
                choice_i = np.random.randint(0, len(vals))
                bk.choose(choice_i)
                hist.append(choice_i)

            # keep the sampled model once specified.
            samples.append(bk)
            choice_hists.append(hist)

        return (samples, choice_hists)