Mercurial > repos > goeckslab > ludwig_experiment

comparison test-data/temp_training_statistics.json @ 0:78e6686a218e draft default tip

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
planemo upload for repository https://github.com/goeckslab/Galaxy-Ludwig.git commit bdea9430787658783a51cc6c2ae951a01e455bb4
author goeckslab
date Tue, 07 Jan 2025 22:45:39 +0000
parents
children
comparison
equal deleted inserted replaced
-1:000000000000 0:78e6686a218e
1 {
2 "evaluation_frequency": {
3 "frequency": 1,
4 "period": "epoch"
5 },
6 "test": {
7 "combined": {
8 "loss": [
9 0.03626325726509094,
10 0.037422094494104385
11 ]
12 },
13 "temperature": {
14 "loss": [
15 0.036242932081222534,
16 0.03742266446352005
17 ],
18 "mean_absolute_error": [
19 0.13141514360904694,
20 0.12915410101413727
21 ],
22 "mean_absolute_percentage_error": [
23 0.8438004851341248,
24 0.8239747285842896
25 ],
26 "mean_squared_error": [
27 0.03624293953180313,
28 0.03742267191410065
29 ],
30 "r2": [
31 0.9641138315200806,
32 0.9629456996917725
33 ],
34 "root_mean_squared_error": [
35 0.19037578999996185,
36 0.19344940781593323
37 ],
38 "root_mean_squared_percentage_error": [
39 3.6561713218688965,
40 3.7394864559173584
41 ]
42 }
43 },
44 "training": {
45 "combined": {
46 "loss": [
47 0.07550770789384842,
48 0.036782510578632355
49 ]
50 },
51 "temperature": {
52 "loss": [
53 0.07551046460866928,
54 0.03678234666585922
55 ],
56 "mean_absolute_error": [
57 0.16977444291114807,
58 0.12643378973007202
59 ],
60 "mean_absolute_percentage_error": [
61 0.8133856058120728,
62 0.6740127801895142
63 ],
64 "mean_squared_error": [
65 0.07551039755344391,
66 0.036782290786504745
67 ],
68 "r2": [
69 0.924066960811615,
70 0.9630118012428284
71 ],
72 "root_mean_squared_error": [
73 0.27479153871536255,
74 0.19178709387779236
75 ],
76 "root_mean_squared_percentage_error": [
77 3.1263492107391357,
78 2.683183431625366
79 ]
80 }
81 },
82 "validation": {
83 "combined": {
84 "loss": [
85 0.03811013326048851,
86 0.03889709338545799
87 ]
88 },
89 "temperature": {
90 "loss": [
91 0.03817461058497429,
92 0.038950882852077484
93 ],
94 "mean_absolute_error": [
95 0.1331280916929245,
96 0.1309405416250229
97 ],
98 "mean_absolute_percentage_error": [
99 0.849341630935669,
100 0.7708249688148499
101 ],
102 "mean_squared_error": [
103 0.0381745919585228,
104 0.038950905203819275
105 ],
106 "r2": [
107 0.962489902973175,
108 0.9617270827293396
109 ],
110 "root_mean_squared_error": [
111 0.1953831911087036,
112 0.1973598301410675
113 ],
114 "root_mean_squared_percentage_error": [
115 3.68666410446167,
116 3.304331064224243
117 ]
118 }
119 }
120 }