-
Notifications
You must be signed in to change notification settings - Fork 2
/
run.sh
213 lines (181 loc) · 14.8 KB
/
run.sh
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
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
# python feature_reduction.py uT 1 0.1
# python feature_reduction.py uT 3 0.1
# python feature_reduction.py uT 5 0.1
# python feature_reduction.py uT 7 0.1
# python feature_reduction.py uT 9 0.1
# python feature_reduction.py uT 11 0.1
# python feature_reduction.py uT 13 0.1
# python feature_reduction.py uT 15 0.1
# python feature_reduction.py uT 17 0.1
# python feature_reduction.py uT 19 0.1
# python feature_reduction.py uT 21 0.1
# python feature_reduction.py uT 23 0.1
# python feature_reduction.py uT 25 0.1
# python feature_reduction.py uT 27 0.1
# python feature_reduction.py uT 29 0.1
# python feature_reduction.py uT 31 0.1
# python feature_reduction.py uT 33 0.1
# python feature_reduction.py uT 35 0.1
# python feature_reduction.py uT 37 0.1
# python feature_reduction.py uT 39 0.1
# python feature_reduction.py uT 41 0.1
# python feature_reduction.py uT 43 0.1
# python feature_reduction.py uT 45 0.1
# python feature_reduction.py uT 47 0.1
# python feature_reduction.py uT 49 0.1
# python feature_reduction.py uT 51 0.1
# python feature_reduction.py uT 53 0.1
# python feature_reduction.py uT 55 0.1
# python feature_reduction.py uT 57 0.1
python feature_reduction.py uT 59 0.1
python feature_reduction.py uT 61 0.1
python feature_reduction.py uT 63 0.1
python feature_reduction.py uT 65 0.1
python feature_reduction.py uT 67 0.1
python feature_reduction.py uT 69 0.1
python feature_reduction.py uT 71 0.1
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf1 MF "[11, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf2 MF "[15, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf3 MF "[17, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf4 MF "[21, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf5 MF "[25, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf6 MF "[29, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf7 MF "[33, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf8 MF "[37, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf9 MF "[41, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf10 MF "[45, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf11 MF "[49, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf12 MF "[53, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf13 MF "[57, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf14 MF "[61, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf15 MF "[63, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf16 MF "[67, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf17 MF "[71, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf18 MF "[73, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf19 MF "[77, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf20 MF "[81, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf21 MF "[83, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf22 MF "[87, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf23 MF "[91, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf24 MF "[93, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf25 MF "[97, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf26 MF "[101, 0.1, 0]"
wait
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf1 MF "[41, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf2 MF "[42, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf3 MF "[43, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf4 MF "[44, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf5 MF "[45, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf1 MF "[45, 0.001, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf2 MF "[45, 0.005, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf3 MF "[45, 0.01, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf4 MF "[45, 0.05, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf5 MF "[45, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf6 MF "[45, 0.5, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf7 MF "[45, 1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf8 MF "[45, 5, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf9 MF "[45, 10, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf1 MF "[45, 0.1, 0]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf2 MF "[45, 0.1, -0.0001]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf3 MF "[45, 0.1, -0.0003]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf4 MF "[45, 0.1, -0.0005]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf5 MF "[45, 0.1, -0.0009]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.mf6 MF "[45, 0.1, -0.001]"
python run.py data/train.csv data/validate.csv data/validate.csv.results.itemCF7 ItemCf "[51, 0, 'hamming']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.itemCF6 ItemCf "[37, 0, 'hamming']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.itemCF5 ItemCf "[23, 0, 'hamming']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.itemCF4 ItemCf "[11, 0, 'hamming']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.itemCF3 ItemCf "[9, 0, 'hamming']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.itemCF2 ItemCf "[5, 0, 'hamming']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.itemCF1 ItemCf "[1, 0, 'hamming']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.userCF7 UserCf "[51, -0.0005, 'euclidean']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.userCF6 UserCf "[37, -0.0005, 'euclidean']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.userCF5 UserCf "[23, -0.0005, 'euclidean']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.userCF4 UserCf "[11, -0.0005, 'euclidean']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.userCF3 UserCf "[9, -0.0005, 'euclidean']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.userCF2 UserCf "[5, -0.0005, 'euclidean']"
python run.py data/train.csv data/validate.csv data/validate.csv.results.userCF1 UserCf "[1, -0.0005, 'euclidean']"
python run.py data/train.csv data/train.csv data/1.csv MF "[45, 0.1, -0.0005]"
python run.py data/train.csv data/train.csv data/2.csv ItemCf "[51, 0, 'hamming']"
python run.py data/train.csv data/train.csv data/3.csv ItemCf "[37, 0, 'hamming']"
python run.py data/train.csv data/train.csv data/4.csv ItemCf "[23, 0, 'hamming']"
python run.py data/train.csv data/train.csv data/5.csv ItemCf "[11, 0, 'hamming']"
python run.py data/train.csv data/train.csv data/6.csv ItemCf "[9, 0, 'hamming']"
python run.py data/train.csv data/train.csv data/7.csv ItemCf "[5, 0, 'hamming']"
python run.py data/train.csv data/train.csv data/8.csv ItemCf "[1, 0, 'hamming']"
python run.py data/train.csv data/train.csv data/9.csv UserCf "[51, -0.0005, 'euclidean']"
python run.py data/train.csv data/train.csv data/10.csv UserCf "[37, -0.0005, 'euclidean']"
python run.py data/train.csv data/train.csv data/11.csv UserCf "[23, -0.0005, 'euclidean']"
python run.py data/train.csv data/train.csv data/12.csv UserCf "[11, -0.0005, 'euclidean']"
python run.py data/train.csv data/train.csv data/13.csv UserCf "[9, -0.0005, 'euclidean']"
python run.py data/train.csv data/train.csv data/14.csv UserCf "[5, -0.0005, 'euclidean']"
python run.py data/train.csv data/train.csv data/15.csv UserCf "[1, -0.0005, 'euclidean']"
python run.py data/train.csv data/validate.csv results-mfglab-1.csv MFGLab "[0]"
python run.py data/train.csv data/validate.csv results-mfglab-2.csv MFGLab "[-0.0001]"
python run.py data/train.csv data/validate.csv results-mfglab-3.csv MFGLab "[-0.0005]"
python run.py data/train.csv data/validate.csv results-mfglab-4.csv MFGLab "[-0.001]"
python run.py data/train.csv data/validate.csv results-mfglab-5.csv MFGLab "[-0.005]"
python run.py data/train.csv data/validate.csv results-mfglab-6.csv MFGLab "[-0.01]"
python run.py data/train.csv data/validate.csv results-mfglab-7.csv MFGLab "[-0.05]"
python run.py data/train.csv data/validate.csv results-mfglab-8.csv MFGLab "[-0.1]"
python run.py data/train.csv data/validate.csv results-mfglab-9.csv MFGLab "[-0.5]"
python run.py data/train.csv data/validate.csv results-mfglab-10.csv MFGLab "[-1]"
python kfold.py "MFContentGLab '[0, 0.000008, 0.16]'" kfold-output
python kfold.py "MFContentGLab '[0, 0.000008, 0.17]'" kfold-output
python kfold.py "MFContentGLab '[0, 0.000008, 0.18]'" kfold-output
python kfold.py "MFContentGLab '[0, 0.000008, 0.19]'" kfold-output
python kfold.py "MFContentGLab '[0, 0.000008, 0.2]'" kfold-output
python run.py data/train.csv data/validate.csv validate/test/1.csv MFGLab "[0, 0.000008, 0.01]"
python run.py data/train.csv data/validate.csv validate/test/2.csv MFContentGLab "[0, 0.000008, 0.01]"
python run.py data/train.csv data/validate.csv validate/test/3.csv MFGLab "[1, 0.000008, 0.01]"
python run.py data/train.csv data/validate.csv validate/test/4.csv MFContentGLab "[1, 0.000008, 0.01]"
python run.py data/train.csv data/validate.csv validate/test/5.csv MFGLab "[2, 0.000008, 0.01]"
python run.py data/train.csv data/validate.csv validate/test/6.csv MFContentGLab "[2, 0.000008, 0.01]"
python run.py data/train.csv data/validate.csv validate/test/7.csv UserCfGLab "['pearson']"
python run.py data/train.csv data/validate.csv validate/test/8.csv UserCfGLab "['cosine']"
python run.py data/train.csv data/validate.csv validate/test/9.csv UserCfGLab "['jaccard']"
python run.py data/train.csv data/validate.csv validate/test/10.csv ItemCfGLab "['pearson']"
python run.py data/train.csv data/validate.csv validate/test/11.csv ItemCfGLab "['cosine']"
python run.py data/train.csv data/validate.csv validate/test/12.csv ItemCfGLab "['jaccard']"
python run.py data/train.csv data/validate.csv validate/test/13.csv UserCf "[1, -0.0005, 'euclidean']"
python run.py data/train.csv data/validate.csv validate/test/14.csv UserCf "[11, -0.0005, 'euclidean']"
python run.py data/train.csv data/validate.csv validate/test/15.csv UserCf "[51, -0.0005, 'euclidean']"
python run.py data/train.csv data/validate.csv validate/test/16.csv ItemCf "[1, 0, 'hamming']"
python run.py data/train.csv data/validate.csv validate/test/17.csv ItemCf "[9, 0, 'hamming']"
python run.py data/train.csv data/validate.csv validate/test/18.csv ItemCf "[51, 0, 'hamming']"
python run.py data/train.csv data/validate.csv validate/test/19.csv TextSimilarity "['word']"
python run.py data/train.csv data/validate.csv validate/test/20.csv TextSimilarity "['char']"
python run.py data/train.csv data/validate.csv validate/test/21.csv TagRule
# python run.py data/train.csv data/validate.csv validate/test/24.csv UserCfContentGLab "['pearson']"
# python run.py data/train.csv data/validate.csv validate/test/25.csv UserCfContentGLab "['cosine']"
# python run.py data/train.csv data/validate.csv validate/test/26.csv UserCfContentGLab "['jaccard']"
# python run.py data/train.csv data/validate.csv validate/test/27.csv ItemCfContentGLab "['pearson']"
# python run.py data/train.csv data/validate.csv validate/test/28.csv ItemCfContentGLab "['cosine']"
# python run.py data/train.csv data/validate.csv validate/test/29.csv ItemCfContentGLab "['jaccard']"
python run.py data/train.csv data/train.csv validate/train/1.csv MFGLab "[0, 0.000008, 0.01]"
python run.py data/train.csv data/train.csv validate/train/2.csv MFContentGLab "[0, 0.000008, 0.01]"
python run.py data/train.csv data/train.csv validate/train/3.csv MFGLab "[1, 0.000008, 0.01]"
python run.py data/train.csv data/train.csv validate/train/4.csv MFContentGLab "[1, 0.000008, 0.01]"
python run.py data/train.csv data/train.csv validate/train/5.csv MFGLab "[2, 0.000008, 0.01]"
python run.py data/train.csv data/train.csv validate/train/6.csv MFContentGLab "[2, 0.000008, 0.01]"
python run.py data/train.csv data/train.csv validate/train/7.csv UserCfGLab "['pearson']"
python run.py data/train.csv data/train.csv validate/train/8.csv UserCfGLab "['cosine']"
python run.py data/train.csv data/train.csv validate/train/9.csv UserCfGLab "['jaccard']"
python run.py data/train.csv data/train.csv validate/train/10.csv ItemCfGLab "['pearson']"
python run.py data/train.csv data/train.csv validate/train/11.csv ItemCfGLab "['cosine']"
python run.py data/train.csv data/train.csv validate/train/12.csv ItemCfGLab "['jaccard']"
python run.py data/train.csv data/train.csv validate/train/13.csv UserCf "[1, -0.0005, 'euclidean']"
python run.py data/train.csv data/train.csv validate/train/14.csv UserCf "[11, -0.0005, 'euclidean']"
python run.py data/train.csv data/train.csv validate/train/15.csv UserCf "[51, -0.0005, 'euclidean']"
python run.py data/train.csv data/train.csv validate/train/16.csv ItemCf "[1, 0, 'hamming']"
python run.py data/train.csv data/train.csv validate/train/17.csv ItemCf "[9, 0, 'hamming']"
python run.py data/train.csv data/train.csv validate/train/18.csv ItemCf "[51, 0, 'hamming']"
python run.py data/train.csv data/train.csv validate/train/19.csv TextSimilarity "['word']"
python run.py data/train.csv data/train.csv validate/train/20.csv TextSimilarity "['char']"
python run.py data/train.csv data/train.csv validate/train/21.csv TagRule
# python run.py data/train.csv data/train.csv validate/train/24.csv UserCfContentGLab "['pearson']"
# python run.py data/train.csv data/train.csv validate/train/25.csv UserCfContentGLab "['cosine']"
# python run.py data/train.csv data/train.csv validate/train/26.csv UserCfContentGLab "['jaccard']"
# python run.py data/train.csv data/train.csv validate/train/27.csv ItemCfContentGLab "['pearson']"
# python run.py data/train.csv data/train.csv validate/train/28.csv ItemCfContentGLab "['cosine']"
# python run.py data/train.csv data/train.csv validate/train/29.csv ItemCfContentGLab "['jaccard']"