Amanirmk's workspace
Runs
18
Name
18 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
alpha_prior_mu
alpha_prior_sigma
beta_prior_mu
beta_prior_sigma
csv_name
feature_type
label
label_run_by
max_length
min_length
n_candidates
n_seeds
n_steps
n_updates
name
output_dir
shuffle_train
step_size
strategies
use_mean
entropy_pred/accuracy
entropy_pred/alpha_mu
entropy_pred/alpha_sigma
entropy_pred/auc
entropy_pred/avg_beta_mu
entropy_pred/avg_beta_sigma
entropy_pred/avg_seen_beta_mu
entropy_pred/avg_seen_beta_sigma
entropy_pred/avg_unseen_beta_mu
entropy_pred/avg_unseen_beta_sigma
entropy_pred/f1
entropy_pred/last_proposed_is_train
entropy_pred/log-likelihood
entropy_pred/metric_avg
entropy_pred/n_observed_metric
entropy_pred/n_observed_train
entropy_pred/pct_good_examples
entropy_pred/train_avg
step
train/accuracy
train/alpha_mu
train/alpha_sigma
train/auc
train/avg_beta_mu
Finished
amanirmk
7m 30s
-
5
1
-1
20
results.csv
atr_harmony
use_mean=False_beta_prior_mu=-1.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
false
0.54158
16.56104
0.81735
0.85832
-0.56869
11.72581
-0.20666
4.47504
-0.97899
19.94336
0.67645
0
-3973.48193
0
0
0
0.2
0
100
0.47921
24.36438
0.58226
0.67395
-0.50965
Finished
amanirmk
7m 30s
-
5
1
-1
20
results.csv
atr_harmony
use_mean=False_beta_prior_mu=-1.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
false
0.53366
16.64597
0.721
0.96387
-0.5438
11.04377
-0.19179
3.74576
-0.97539
19.99175
0.67269
0
-3943.70386
0
0
0
0.21
0
100
0.47921
24.19407
0.59508
0.69582
-0.50644
Finished
amanirmk
7m 33s
-
5
1
-1
20
results.csv
atr_harmony
use_mean=False_beta_prior_mu=-1.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
false
0.55545
16.75885
0.67357
0.93195
-0.54018
11.24575
-0.197
4.26833
-0.97446
20.07559
0.68313
0
-4090.85474
0
0
0
0.22
0
100
0.47921
24.45292
0.55479
0.67966
-0.49809
Finished
amanirmk
19m 25s
-
5
1
-1
20
results.csv
atr_harmony
use_mean=True_beta_prior_mu=-1.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
true
0.78614
22.37817
0.48114
0.90406
-0.58756
11.01274
-0.26145
3.60793
-0.98115
19.94957
0.71277
0
-10088.3877
0
0
0
0.63
0
100
0.87822
24.36438
0.58226
0.97912
-0.50965
Finished
amanirmk
19m 7s
-
5
1
-1
20
results.csv
atr_harmony
use_mean=True_beta_prior_mu=-1.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
true
0.75545
20.12471
0.47717
0.93234
-0.52984
10.95507
-0.16872
3.59807
-0.97261
19.97539
0.65742
0
-7385.10449
0
0
0
0.51
0
100
0.87327
24.19407
0.59508
0.98113
-0.50644
Finished
amanirmk
19m 36s
-
5
1
-1
20
results.csv
atr_harmony
use_mean=True_beta_prior_mu=-1.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
true
0.7703
21.3627
0.46774
0.92792
-0.53688
11.07887
-0.16394
3.44246
-0.97646
20.08008
0.68478
0
-7845.19336
0
0
0
0.54
0
100
0.8802
24.45292
0.55479
0.99304
-0.49809
Finished
amanirmk
8m 3s
-
5
1
-5
20
results.csv
atr_harmony
use_mean=False_beta_prior_mu=-5.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
false
1
22.49837
0.52758
1
-2.64461
10.25357
-0.85167
2.55028
-4.91354
20.00199
1
0
-0.0013725
0
0
0
0.57
0
100
0.82772
25.05168
0.58598
0.98038
-2.54195
Finished
amanirmk
7m 54s
-
5
1
-5
20
results.csv
atr_harmony
use_mean=False_beta_prior_mu=-5.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
false
1
21.37866
0.54914
1
-2.60874
10.27565
-0.77281
2.37578
-4.8776
20.03838
1
0
-0.015885
0
0
0
0.47
0
100
0.82673
24.85765
0.59928
0.98666
-2.52825
Finished
amanirmk
7m 56s
-
5
1
-5
20
results.csv
atr_harmony
use_mean=False_beta_prior_mu=-5.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
false
1
22.54457
0.56499
1
-2.62787
10.26962
-0.83418
2.43254
-4.87987
20.10912
1
0
-0.092982
0
0
0
0.53
0
100
0.81584
25.12446
0.56126
0.99631
-2.48937
Finished
amanirmk
19m 24s
-
5
1
-5
20
results.csv
atr_harmony
use_mean=True_beta_prior_mu=-5.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
true
0.80297
23.20183
0.47349
0.91344
-2.74916
10.95598
-0.94891
3.42839
-4.90484
19.9697
0.74122
0
-9535.25195
0
0
0
0.64
0
100
0.87723
25.05168
0.58598
0.98007
-2.54195
Finished
amanirmk
19m 3s
-
5
1
-5
20
results.csv
atr_harmony
use_mean=True_beta_prior_mu=-5.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
true
0.74851
19.38925
0.50574
0.93737
-2.6769
10.94682
-0.88481
3.55175
-4.87417
20.01381
0.64426
0
-8315.78418
0
0
0
0.45
0
100
0.87129
24.85765
0.59928
0.9817
-2.52825
Finished
amanirmk
19m 14s
-
5
1
-5
20
results.csv
atr_harmony
use_mean=True_beta_prior_mu=-5.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
true
0.75149
21.58825
0.47128
0.91923
-2.68435
11.11052
-0.79636
3.41024
-4.89233
20.11594
0.64993
0
-8978.69434
0
0
0
0.52
0
100
0.87822
25.12446
0.56126
0.99377
-2.48937
Finished
amanirmk
7m 39s
-
5
1
-10
20
results.csv
atr_harmony
use_mean=False_beta_prior_mu=-10.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
false
0.96931
28.09847
0.51212
0.99521
-5.22141
10.42847
-1.40146
2.42787
-9.79551
20.00859
0.96692
0
-545.98468
0
0
0
0.91
0
100
0.86832
26.01847
0.59189
0.98262
-5.06968
Finished
amanirmk
7m 30s
-
5
1
-10
20
results.csv
atr_harmony
use_mean=False_beta_prior_mu=-10.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
false
0.99802
27.6005
0.51483
1
-5.08855
10.2291
-1.34365
2.38559
-9.7903
20.07668
0.99793
0
-3.08855
0
0
0
0.82
0
100
0.93861
25.78524
0.60602
0.9872
-5.04908
Finished
amanirmk
7m 34s
-
5
1
-10
20
results.csv
atr_harmony
use_mean=False_beta_prior_mu=-10.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
false
0.99604
25.66875
0.52253
1
-5.10006
10.31052
-1.40646
2.60264
-9.81146
20.14234
0.99585
0
-9.63313
0
0
0
0.71
0
100
0.89604
26.06923
0.57084
0.99634
-4.98336
Finished
amanirmk
19m 3s
-
5
1
-10
20
results.csv
atr_harmony
use_mean=True_beta_prior_mu=-10.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
true
0.78416
23.85615
0.46546
0.91528
-5.43037
10.99036
-1.77719
3.46506
-9.80477
20.00135
0.70933
0
-10772.88086
0
0
0
0.63
0
100
0.87426
26.01847
0.59189
0.98038
-5.06968
Finished
amanirmk
19m 8s
-
5
1
-10
20
results.csv
atr_harmony
use_mean=True_beta_prior_mu=-10.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
true
0.75644
20.04984
0.49747
0.95063
-5.26164
10.832
-1.60551
3.36629
-9.77992
20.05818
0.65928
0
-7739.90332
0
0
0
0.45
0
100
0.86139
25.78524
0.60602
0.98302
-5.04908
Finished
amanirmk
19m 23s
-
5
1
-10
20
results.csv
atr_harmony
use_mean=True_beta_prior_mu=-10.0
["use_mean","beta_prior_mu"]
5
2
100
3
100
2000
testing2
testing2
true
0.01
["entropy_pred","train"]
true
0.77921
22.69743
0.47361
0.94257
-5.26163
10.87222
-1.48227
3.19753
-9.82293
20.13478
0.70067
0
-7021.98047
0
0
0
0.51
0
100
0.87327
26.06923
0.57084
0.99461
-4.98336
1-18
of 18