-
Notifications
You must be signed in to change notification settings - Fork 7
/
snuba_sweep_mnist.sh
executable file
·158 lines (146 loc) · 6.33 KB
/
snuba_sweep_mnist.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
#!/bin/bash
resdir=results/mnist/snubasweep
mkdir -p ${resdir}
####TODO DO NOT REMOVE THESE RESULTS #rm -rf ${resdir}/*
for embedding in raw pca resnet18 vae
do
for em_hard_labels in True False
do
for snuba_cardinality in 1 2
do
for n_labeled_points in 100 #500 1000 5000
do
savedir=${resdir}/embedding_${embedding}/lf_class_options_${lf_class_options}/em_hard_labels_${em_hard_labels}/snuba_cardinality_${snuba_cardinality}/n_labeled_points_${n_labeled_points}
mkdir -p ${savedir}
python fwrench/applications/mnist.py \
--embedding=${embedding} \
--em_hard_labels=${em_hard_labels} \
--snuba_cardinality=${snuba_cardinality} \
--n_labeled_points=${n_labeled_points} \
|& tee -a ${savedir}/res.log
done
done
done
done
# for seed in 0 1 2 3 4
# do
# # Top-1
# embedding=vae
# em_hard_labels=False
# snuba_cardinality=2
# n_labeled_points=100
# savedir=${resdir}/embedding_${embedding}/lf_class_options_${lf_class_options}/em_hard_labels_${em_hard_labels}/snuba_cardinality_${snuba_cardinality}/n_labeled_points_${n_labeled_points}
# # mkdir -p ${savedir}
# # python examples/fwrench_examples/mnist.py \
# # --embedding=${embedding} \
# # --lf_class_options=${lf_class_options} \
# # --em_hard_labels=${em_hard_labels} \
# # --snuba_cardinality=${snuba_cardinality} \
# # --n_labeled_points=${n_labeled_points} \
# # |& tee -a ${savedir}/res_seed${seed}.log
# # Top-2
# embedding=vae
# em_hard_labels=False
# snuba_cardinality=2
# n_labeled_points=500
# savedir=${resdir}/embedding_${embedding}/lf_class_options_${lf_class_options}/em_hard_labels_${em_hard_labels}/snuba_cardinality_${snuba_cardinality}/n_labeled_points_${n_labeled_points}
# # mkdir -p ${savedir}
# # python examples/fwrench_examples/mnist.py \
# # --embedding=${embedding} \
# # --lf_class_options=${lf_class_options} \
# # --em_hard_labels=${em_hard_labels} \
# # --snuba_cardinality=${snuba_cardinality} \
# # --n_labeled_points=${n_labeled_points} \
# # |& tee -a ${savedir}/res_seed${seed}.log
# # Top-3
# embedding=vae
# em_hard_labels=True
# snuba_cardinality=2
# n_labeled_points=100
# savedir=${resdir}/embedding_${embedding}/lf_class_options_${lf_class_options}/em_hard_labels_${em_hard_labels}/snuba_cardinality_${snuba_cardinality}/n_labeled_points_${n_labeled_points}
# # mkdir -p ${savedir}
# # python examples/fwrench_examples/mnist.py \
# # --embedding=${embedding} \
# # --lf_class_options=${lf_class_options} \
# # --em_hard_labels=${em_hard_labels} \
# # --snuba_cardinality=${snuba_cardinality} \
# # --n_labeled_points=${n_labeled_points} \
# # |& tee -a ${savedir}/res_seed${seed}.log
# # Top-4
# embedding=pca
# em_hard_labels=True
# snuba_cardinality=2
# n_labeled_points=100
# savedir=${resdir}/embedding_${embedding}/lf_class_options_${lf_class_options}/em_hard_labels_${em_hard_labels}/snuba_cardinality_${snuba_cardinality}/n_labeled_points_${n_labeled_points}
# # mkdir -p ${savedir}
# # python examples/fwrench_examples/mnist.py \
# # --embedding=${embedding} \
# # --lf_class_options=${lf_class_options} \
# # --em_hard_labels=${em_hard_labels} \
# # --snuba_cardinality=${snuba_cardinality} \
# # --n_labeled_points=${n_labeled_points} \
# # |& tee -a ${savedir}/res_seed${seed}.log
# # Top-5
# embedding=pca
# em_hard_labels=True
# snuba_cardinality=2
# n_labeled_points=500
# savedir=${resdir}/embedding_${embedding}/lf_class_options_${lf_class_options}/em_hard_labels_${em_hard_labels}/snuba_cardinality_${snuba_cardinality}/n_labeled_points_${n_labeled_points}
# # mkdir -p ${savedir}
# # python examples/fwrench_examples/mnist.py \
# # --embedding=${embedding} \
# # --lf_class_options=${lf_class_options} \
# # --em_hard_labels=${em_hard_labels} \
# # --snuba_cardinality=${snuba_cardinality} \
# # --n_labeled_points=${n_labeled_points} \
# # |& tee -a ${savedir}/res_seed${seed}.log
# done
# # Cardinality sweep
# snuba_combo_samples=10_000
# for seed in 0 1 2 3 4
# do
# for snuba_cardinality in 4 8 16
# do
# # Top-3
# embedding=vae
# em_hard_labels=True
# n_labeled_points=100
# savedir=${resdir}/embedding_${embedding}/lf_class_options_${lf_class_options}/em_hard_labels_${em_hard_labels}/snuba_cardinality_${snuba_cardinality}/n_labeled_points_${n_labeled_points}
# mkdir -p ${savedir}
# python examples/fwrench_examples/mnist.py \
# --embedding=${embedding} \
# --lf_class_options=${lf_class_options} \
# --em_hard_labels=${em_hard_labels} \
# --snuba_cardinality=${snuba_cardinality} \
# --n_labeled_points=${n_labeled_points} \
# --snuba_combo_samples=${snuba_combo_samples} \
# |& tee ${savedir}/res_seed${seed}_samples${snuba_combo_samples}.log
# done
# done
# for seed in 0 1 2 3 4
# do
# snuba_cardinality=8
# # Top-3
# embedding=vae
# em_hard_labels=True
# n_labeled_points=100
# savedir=${resdir}/embedding_${embedding}/lf_class_options_${lf_class_options}/em_hard_labels_${em_hard_labels}/snuba_cardinality_${snuba_cardinality}/n_labeled_points_${n_labeled_points}
# mkdir -p ${savedir}
# python examples/fwrench_examples/mnist.py \
# --embedding=${embedding} \
# --lf_class_options=${lf_class_options} \
# --em_hard_labels=${em_hard_labels} \
# --snuba_cardinality=${snuba_cardinality} \
# --n_labeled_points=${n_labeled_points} \
# --snuba_combo_samples=${snuba_combo_samples} \
# --default_weight=1.0 \
# --accuracy_weight=1.0 \
# --balanced_accuracy_weight=1.0 \
# --precision_weight=1.0 \
# --recall_weight=1.0 \
# --matthews_weight=1.0 \
# --cohen_kappa_weight=1.0 \
# --jaccard_weight=1.0 \
# --fbeta_weight=1.0 \
# |& tee ${savedir}/res_seed${seed}_samples${snuba_combo_samples}_allmetrics.log
# done