-
Notifications
You must be signed in to change notification settings - Fork 4
/
utils.py
59 lines (54 loc) · 1.7 KB
/
utils.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
# -*- coding: utf-8 -*-
def eval_map_mrr(qids, aids, preds, labels):
# 衡量map指标和mrr指标
dic = dict()
pre_dic = dict()
for qid, aid, pred, label in zip(qids, aids, preds, labels):
pre_dic.setdefault(qid, [])
pre_dic[qid].append([aid, pred, label])
for qid in pre_dic:
dic[qid] = sorted(pre_dic[qid], key=lambda k: k[1], reverse=True)
aid2rank = {aid: [label, rank] for (rank, (aid, pred, label)) in enumerate(dic[qid])}
dic[qid] = aid2rank
# correct = 0
# total = 0
# for qid in dic:
# cur_correct = 0
# for aid in dic[qid]:
# if dic[qid][aid][0] == 1:
# cur_correct += 1
# if cur_correct > 0:
# correct += 1
# total += 1
# print(correct * 1. / total)
MAP = 0.0
MRR = 0.0
useful_q_len = 0
for q_id in dic:
sort_rank = sorted(dic[q_id].items(), key=lambda k: k[1][1], reverse=False)
correct = 0
total = 0
AP = 0.0
mrr_mark = False
for i in range(len(sort_rank)):
if sort_rank[i][1][0] == 1:
correct += 1
if correct == 0:
continue
useful_q_len += 1
correct = 0
for i in range(len(sort_rank)):
# compute MRR
if sort_rank[i][1][0] == 1 and mrr_mark == False:
MRR += 1.0 / float(i + 1)
mrr_mark = True
# compute MAP
total += 1
if sort_rank[i][1][0] == 1:
correct += 1
AP += float(correct) / float(total)
AP /= float(correct)
MAP += AP
MAP /= useful_q_len
MRR /= useful_q_len
return MAP, MRR