blob: fbee24e3955707575dad09d1a2bff5c23da2e5d4 (
plain)
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
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
|
Warning: hi_lo only works with pair_sampling XYX.
cdec cfg 'cdec.ini'
Seeding random number sequence to 3626026233
dtrain
Parameters:
k 4
N 4
T 2
batch 0
scorer 'bleu'
sample from 'kbest'
filter 'uniq'
learning rate 1
gamma 0
loss margin 0
faster perceptron 1
pairs 'all'
pair threshold 0
select weights 'last'
l1 reg 0 'none'
pclr no
max pairs 4294967295
repeat 1
cdec cfg 'cdec.ini'
input ''
output '-'
(a dot represents 10 inputs)
Iteration #1 of 2.
2
WEIGHTS
logp = +0
shell_rule = -1
house_rule = +2
small_rule = -2
little_rule = +3
PassThrough = -5
PassThrough_1 = +0
PassThrough_2 = +0
PassThrough_3 = +0
PassThrough_4 = +0
PassThrough_5 = +0
PassThrough_6 = +0
---
1best avg score: 0.5 (+0.5)
1best avg model score: 2.5 (+2.5)
avg # pairs: 1.5
avg # rank err: 1.5 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
non0 feature count: 6
avg list sz: 4
avg f count: 2.875
(time 0 min, 0 s/S)
Iteration #2 of 2.
2
WEIGHTS
logp = +0
shell_rule = -1
house_rule = +2
small_rule = -2
little_rule = +3
PassThrough = -5
PassThrough_1 = +0
PassThrough_2 = +0
PassThrough_3 = +0
PassThrough_4 = +0
PassThrough_5 = +0
PassThrough_6 = +0
---
1best avg score: 1 (+0.5)
1best avg model score: 5 (+2.5)
avg # pairs: 0
avg # rank err: 0 (meaningless)
avg # margin viol: 0
k-best loss imp: 100%
non0 feature count: 6
avg list sz: 4
avg f count: 3
(time 0 min, 0 s/S)
Writing weights file to '-' ...
house_rule 2
little_rule 3
Glue -4
PassThrough -5
small_rule -2
shell_rule -1
done
---
Best iteration: 2 [SCORE 'bleu'=1].
This took 0 min.
|