Mercurial > repos > bgruening > sklearn_pairwise_metrics

annotate test-data/keras02.json @ 42:e79200975daf draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 3c1e6c72303cfd8a5fd014734f18402b97f8ecb5
author bgruening
date Fri, 22 Sep 2023 17:34:19 +0000
parents 053e7f32d37e
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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31
bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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1 {
41
053e7f32d37e planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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2 "class_name": "Functional",
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bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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3 "config": {
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053e7f32d37e planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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4 "name": "model",
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bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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5 "layers": [
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6 {
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7 "class_name": "InputLayer",
bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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8 "config": {
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9 "batch_input_shape": [
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10 null,
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11 100
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12 ],
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13 "dtype": "int32",
bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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14 "sparse": false,
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15 "ragged": false,
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bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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16 "name": "main_input"
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17 },
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053e7f32d37e planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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18 "name": "main_input",
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19 "inbound_nodes": []
bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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20 },
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21 {
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22 "class_name": "Embedding",
bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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23 "config": {
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24 "name": "embedding",
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25 "trainable": true,
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26 "batch_input_shape": [
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27 null,
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28 100
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29 ],
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30 "dtype": "float32",
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31 "input_dim": 10000,
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32 "output_dim": 512,
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33 "embeddings_initializer": {
bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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34 "class_name": "RandomUniform",
bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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35 "config": {
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36 "minval": -0.05,
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37 "maxval": 0.05,
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38 "seed": null
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39 }
bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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40 },
bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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41 "embeddings_regularizer": null,
bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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42 "activity_regularizer": null,
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43 "embeddings_constraint": null,
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44 "mask_zero": false,
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45 "input_length": 100
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46 },
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47 "name": "embedding",
31
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48 "inbound_nodes": [
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49 [
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50 [
bc17040617c0 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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51 "main_input",
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52 0,
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53 0,
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54 {}
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55 ]
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56 ]
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57 ]
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58 },
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59 {
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60 "class_name": "LSTM",
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61 "config": {
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62 "name": "lstm",
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63 "trainable": true,
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64 "dtype": "float32",
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65 "return_sequences": false,
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66 "return_state": false,
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67 "go_backwards": false,
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68 "stateful": false,
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69 "unroll": false,
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70 "time_major": false,
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71 "units": 32,
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72 "activation": "tanh",
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73 "recurrent_activation": "sigmoid",
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74 "use_bias": true,
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75 "kernel_initializer": {
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76 "class_name": "GlorotUniform",
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77 "config": {
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78 "seed": null
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79 },
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80 "shared_object_id": 3
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81 },
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82 "recurrent_initializer": {
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83 "class_name": "Orthogonal",
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84 "config": {
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85 "gain": 1.0,
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86 "seed": null
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87 },
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88 "shared_object_id": 4
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89 },
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90 "bias_initializer": {
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91 "class_name": "Zeros",
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92 "config": {},
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93 "shared_object_id": 5
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94 },
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99 "activity_regularizer": null,
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103 "dropout": 0.0,
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106 },
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107 "name": "lstm",
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108 "inbound_nodes": [
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118 },
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119 {
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120 "class_name": "Dense",
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124 "dtype": "float32",
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125 "units": 1,
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126 "activation": "sigmoid",
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127 "use_bias": true,
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128 "kernel_initializer": {
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129 "class_name": "GlorotUniform",
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130 "config": {
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131 "seed": null
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132 }
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133 },
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134 "bias_initializer": {
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135 "class_name": "Zeros",
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143 },
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144 "name": "dense",
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145 "inbound_nodes": [
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148 "lstm",
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196 },
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197 {
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198 "class_name": "Dense",
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201 "trainable": true,
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202 "dtype": "float32",
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204 "activation": "relu",
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205 "use_bias": true,
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206 "kernel_initializer": {
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211 },
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212 "bias_initializer": {
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221 },
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242 "use_bias": true,
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243 "kernel_initializer": {
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244 "class_name": "GlorotUniform",
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247 }
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248 },
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249 "bias_initializer": {
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250 "class_name": "Zeros",
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258 },
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259 "name": "dense_2",
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260 "inbound_nodes": [
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263 "dense_1",
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270 },
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275 "trainable": true,
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276 "dtype": "float32",
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278 "activation": "relu",
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279 "use_bias": true,
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280 "kernel_initializer": {
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281 "class_name": "GlorotUniform",
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283 "seed": null
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284 }
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285 },
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286 "bias_initializer": {
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287 "class_name": "Zeros",
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