Mercurial > repos > bgruening > sklearn_model_validation
comparison test-data/keras04.json @ 34:1fe00785190d draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
author | bgruening |
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date | Wed, 09 Aug 2023 13:44:18 +0000 |
parents | a5aed87b2cc0 |
children |
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33:5d5d9cc554f9 | 34:1fe00785190d |
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1 { | 1 { |
2 "class_name": "Sequential", | 2 "class_name": "Sequential", |
3 "config": { | 3 "config": { |
4 "name": "sequential_1", | 4 "name": "sequential", |
5 "layers": [ | 5 "layers": [ |
6 { | |
7 "class_name": "InputLayer", | |
8 "config": { | |
9 "batch_input_shape": [ | |
10 null, | |
11 17 | |
12 ], | |
13 "dtype": "float32", | |
14 "sparse": false, | |
15 "ragged": false, | |
16 "name": "dense_input" | |
17 } | |
18 }, | |
6 { | 19 { |
7 "class_name": "Dense", | 20 "class_name": "Dense", |
8 "config": { | 21 "config": { |
9 "name": "dense_1", | 22 "name": "dense", |
10 "trainable": true, | 23 "trainable": true, |
11 "batch_input_shape": [ | 24 "batch_input_shape": [ |
12 null, | 25 null, |
13 17 | 26 17 |
14 ], | 27 ], |
15 "dtype": "float32", | 28 "dtype": "float32", |
16 "units": 32, | 29 "units": 32, |
17 "activation": "linear", | 30 "activation": "linear", |
18 "use_bias": true, | 31 "use_bias": true, |
19 "kernel_initializer": { | 32 "kernel_initializer": { |
20 "class_name": "VarianceScaling", | 33 "class_name": "GlorotUniform", |
21 "config": { | 34 "config": { |
22 "scale": 1.0, | 35 "seed": null |
23 "mode": "fan_avg", | 36 } |
24 "distribution": "uniform", | 37 }, |
38 "bias_initializer": { | |
39 "class_name": "Zeros", | |
40 "config": {} | |
41 }, | |
42 "kernel_regularizer": null, | |
43 "bias_regularizer": null, | |
44 "activity_regularizer": null, | |
45 "kernel_constraint": null, | |
46 "bias_constraint": null | |
47 } | |
48 }, | |
49 { | |
50 "class_name": "Activation", | |
51 "config": { | |
52 "name": "activation", | |
53 "trainable": true, | |
54 "dtype": "float32", | |
55 "activation": "linear" | |
56 } | |
57 }, | |
58 { | |
59 "class_name": "Dense", | |
60 "config": { | |
61 "name": "dense_1", | |
62 "trainable": true, | |
63 "dtype": "float32", | |
64 "units": 1, | |
65 "activation": "linear", | |
66 "use_bias": true, | |
67 "kernel_initializer": { | |
68 "class_name": "GlorotUniform", | |
69 "config": { | |
25 "seed": null | 70 "seed": null |
26 } | 71 } |
27 }, | 72 }, |
28 "bias_initializer": { | 73 "bias_initializer": { |
29 "class_name": "Zeros", | 74 "class_name": "Zeros", |
42 "name": "activation_1", | 87 "name": "activation_1", |
43 "trainable": true, | 88 "trainable": true, |
44 "dtype": "float32", | 89 "dtype": "float32", |
45 "activation": "linear" | 90 "activation": "linear" |
46 } | 91 } |
47 }, | |
48 { | |
49 "class_name": "Dense", | |
50 "config": { | |
51 "name": "dense_2", | |
52 "trainable": true, | |
53 "dtype": "float32", | |
54 "units": 1, | |
55 "activation": "linear", | |
56 "use_bias": true, | |
57 "kernel_initializer": { | |
58 "class_name": "VarianceScaling", | |
59 "config": { | |
60 "scale": 1.0, | |
61 "mode": "fan_avg", | |
62 "distribution": "uniform", | |
63 "seed": null | |
64 } | |
65 }, | |
66 "bias_initializer": { | |
67 "class_name": "Zeros", | |
68 "config": {} | |
69 }, | |
70 "kernel_regularizer": null, | |
71 "bias_regularizer": null, | |
72 "activity_regularizer": null, | |
73 "kernel_constraint": null, | |
74 "bias_constraint": null | |
75 } | |
76 }, | |
77 { | |
78 "class_name": "Activation", | |
79 "config": { | |
80 "name": "activation_2", | |
81 "trainable": true, | |
82 "dtype": "float32", | |
83 "activation": "linear" | |
84 } | |
85 } | 92 } |
86 ] | 93 ] |
87 }, | 94 }, |
88 "keras_version": "2.3.1", | 95 "keras_version": "2.10.0", |
89 "backend": "tensorflow" | 96 "backend": "tensorflow" |
90 } | 97 } |