Mercurial > repos > bgruening > scipy_sparse
comparison test-data/keras_params04.tabular @ 34:4efd73be98bb draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
author | bgruening |
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date | Tue, 13 Apr 2021 18:13:32 +0000 |
parents | a2da4cebc584 |
children |
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33:ecd247e1ea9c | 34:4efd73be98bb |
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20 @ optimizer optimizer: 'adam' | 20 @ optimizer optimizer: 'adam' |
21 @ rho rho: None | 21 @ rho rho: None |
22 @ schedule_decay schedule_decay: None | 22 @ schedule_decay schedule_decay: None |
23 @ seed seed: 42 | 23 @ seed seed: 42 |
24 @ steps_per_epoch steps_per_epoch: None | 24 @ steps_per_epoch steps_per_epoch: None |
25 @ validation_data validation_data: None | 25 @ validation_fraction validation_fraction: 0.1 |
26 @ validation_steps validation_steps: None | 26 @ validation_steps validation_steps: None |
27 @ verbose verbose: 0 | 27 @ verbose verbose: 0 |
28 * layers_0_Dense__class_name layers_0_Dense__class_name: 'Dense' | 28 * layers_0_Dense__class_name layers_0_Dense__class_name: 'Dense' |
29 @ layers_0_Dense__config layers_0_Dense__config: {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None, 17], 'dtype': 'float32', 'units': | 29 @ layers_0_Dense__config layers_0_Dense__config: {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None, 17], 'dtype': 'float32', 'units': |
30 @ layers_0_Dense__config__activation layers_0_Dense__config__activation: 'linear' | 30 @ layers_0_Dense__config__activation layers_0_Dense__config__activation: 'linear' |