def get_sim(data, sim_scale): # get unseen and seen categories similarity vec_seen = normalize(data['sc_vec']) vec_test = normalize(data['uc_vec']) if vec_seen.shape[0] < vec_test.shape[0]: no_seenc = vec_seen.shape[0] vec_test = vec_test[no_seenc:, ] sim = compute_label_sim(vec_test, vec_seen, sim_scale) return sim
def get_sim(data): # get unseen and seen categories similarity s = normalize(data['sc_vec']) u = normalize(data['uc_vec']) sim = tool.compute_label_sim(u, s, FLAGS.sim_scale) return sim
def get_sim(data): # get unseen and seen categories similarity ex = normalize(data['ex_vec']) em = normalize(data['em_vec']) sim = tool.compute_label_sim(em, ex, FLAGS.sim_scale) return sim