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