Mercurial > repos > goeckslab > ludwig_experiment
comparison test-data/temperature_hyperopt_statistics.json @ 0:78e6686a218e draft default tip
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 "hyperopt_config": { | |
3 "executor": { | |
4 "num_samples": 2, | |
5 "type": "ray" | |
6 }, | |
7 "goal": "minimize", | |
8 "metric": "loss", | |
9 "output_feature": "combined", | |
10 "parameters": { | |
11 "trainer.learning_rate": { | |
12 "lower": 0.0001, | |
13 "space": "uniform", | |
14 "upper": 0.1 | |
15 } | |
16 }, | |
17 "search_alg": { | |
18 "random_state": 42, | |
19 "type": "random" | |
20 }, | |
21 "split": "validation" | |
22 }, | |
23 "hyperopt_results": [ | |
24 { | |
25 "eval_stats": { | |
26 "combined": { | |
27 "loss": 0.053195301443338394 | |
28 }, | |
29 "temperature": { | |
30 "loss": 0.053407300263643265, | |
31 "mean_absolute_error": 0.14618726074695587, | |
32 "mean_squared_error": 0.05340731143951416, | |
33 "r2": 0.9475131630897522, | |
34 "root_mean_squared_error": 0.23110021650791168, | |
35 "root_mean_squared_percentage_error": 4.772668361663818 | |
36 } | |
37 }, | |
38 "metric_score": 0.053195301443338394, | |
39 "parameters": { | |
40 "trainer.learning_rate": 0.04394395613123003 | |
41 }, | |
42 "training_stats": { | |
43 "test": { | |
44 "combined": { | |
45 "loss": [ | |
46 0.05267306789755821 | |
47 ] | |
48 }, | |
49 "temperature": { | |
50 "loss": [ | |
51 0.05264146253466606 | |
52 ], | |
53 "mean_absolute_error": [ | |
54 0.14691536128520966 | |
55 ], | |
56 "mean_squared_error": [ | |
57 0.052641451358795166 | |
58 ], | |
59 "r2": [ | |
60 0.9478765726089478 | |
61 ], | |
62 "root_mean_squared_error": [ | |
63 0.22943724691867828 | |
64 ], | |
65 "root_mean_squared_percentage_error": [ | |
66 6.454731464385986 | |
67 ] | |
68 } | |
69 }, | |
70 "training": { | |
71 "combined": { | |
72 "loss": [ | |
73 0.052854184061288834 | |
74 ] | |
75 }, | |
76 "temperature": { | |
77 "loss": [ | |
78 0.052901823073625565 | |
79 ], | |
80 "mean_absolute_error": [ | |
81 0.14576640725135803 | |
82 ], | |
83 "mean_squared_error": [ | |
84 0.05290185287594795 | |
85 ], | |
86 "r2": [ | |
87 0.9468033909797668 | |
88 ], | |
89 "root_mean_squared_error": [ | |
90 0.23000402748584747 | |
91 ], | |
92 "root_mean_squared_percentage_error": [ | |
93 4.057754039764404 | |
94 ] | |
95 } | |
96 }, | |
97 "validation": { | |
98 "combined": { | |
99 "loss": [ | |
100 0.053195301443338394 | |
101 ] | |
102 }, | |
103 "temperature": { | |
104 "loss": [ | |
105 0.053407300263643265 | |
106 ], | |
107 "mean_absolute_error": [ | |
108 0.14618726074695587 | |
109 ], | |
110 "mean_squared_error": [ | |
111 0.05340731143951416 | |
112 ], | |
113 "r2": [ | |
114 0.9475131630897522 | |
115 ], | |
116 "root_mean_squared_error": [ | |
117 0.23110021650791168 | |
118 ], | |
119 "root_mean_squared_percentage_error": [ | |
120 4.772668361663818 | |
121 ] | |
122 } | |
123 } | |
124 } | |
125 }, | |
126 { | |
127 "eval_stats": { | |
128 "combined": { | |
129 "loss": 0.07325493544340134 | |
130 }, | |
131 "temperature": { | |
132 "loss": 0.07352239638566971, | |
133 "mean_absolute_error": 0.2023126631975174, | |
134 "mean_squared_error": 0.07352243363857269, | |
135 "r2": 0.9277446866035461, | |
136 "root_mean_squared_error": 0.2711502015590668, | |
137 "root_mean_squared_percentage_error": 6.274576187133789 | |
138 } | |
139 }, | |
140 "metric_score": 0.07325493544340134, | |
141 "parameters": { | |
142 "trainer.learning_rate": 0.07741820925074075 | |
143 }, | |
144 "training_stats": { | |
145 "test": { | |
146 "combined": { | |
147 "loss": [ | |
148 0.07461598515510559 | |
149 ] | |
150 }, | |
151 "temperature": { | |
152 "loss": [ | |
153 0.07462907582521439 | |
154 ], | |
155 "mean_absolute_error": [ | |
156 0.20498159527778625 | |
157 ], | |
158 "mean_squared_error": [ | |
159 0.07462908327579498 | |
160 ], | |
161 "r2": [ | |
162 0.926105260848999 | |
163 ], | |
164 "root_mean_squared_error": [ | |
165 0.2731832265853882 | |
166 ], | |
167 "root_mean_squared_percentage_error": [ | |
168 6.231832981109619 | |
169 ] | |
170 } | |
171 }, | |
172 "training": { | |
173 "combined": { | |
174 "loss": [ | |
175 0.07510020583868027 | |
176 ] | |
177 }, | |
178 "temperature": { | |
179 "loss": [ | |
180 0.07517903298139572 | |
181 ], | |
182 "mean_absolute_error": [ | |
183 0.20425966382026672 | |
184 ], | |
185 "mean_squared_error": [ | |
186 0.07517902553081512 | |
187 ], | |
188 "r2": [ | |
189 0.9244020581245422 | |
190 ], | |
191 "root_mean_squared_error": [ | |
192 0.27418795228004456 | |
193 ], | |
194 "root_mean_squared_percentage_error": [ | |
195 5.540431499481201 | |
196 ] | |
197 } | |
198 }, | |
199 "validation": { | |
200 "combined": { | |
201 "loss": [ | |
202 0.07325493544340134 | |
203 ] | |
204 }, | |
205 "temperature": { | |
206 "loss": [ | |
207 0.07352239638566971 | |
208 ], | |
209 "mean_absolute_error": [ | |
210 0.2023126631975174 | |
211 ], | |
212 "mean_squared_error": [ | |
213 0.07352243363857269 | |
214 ], | |
215 "r2": [ | |
216 0.9277446866035461 | |
217 ], | |
218 "root_mean_squared_error": [ | |
219 0.2711502015590668 | |
220 ], | |
221 "root_mean_squared_percentage_error": [ | |
222 6.274576187133789 | |
223 ] | |
224 } | |
225 } | |
226 } | |
227 } | |
228 ] | |
229 } |