Mercurial > repos > bgruening > sklearn_train_test_split

comparison test-data/keras_batch_params04.tabular @ 6:13b9ac5d277c draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
author bgruening
date Tue, 13 Apr 2021 22:24:07 +0000
parents 5a092779412e
children
comparison
equal deleted inserted replaced
5:ce2fd1edbc6e 6:13b9ac5d277c
24 @ prediction_steps prediction_steps: None 24 @ prediction_steps prediction_steps: None
25 @ rho rho: None 25 @ rho rho: None
26 @ schedule_decay schedule_decay: None 26 @ schedule_decay schedule_decay: None
27 @ seed seed: None 27 @ seed seed: None
28 @ steps_per_epoch steps_per_epoch: None 28 @ steps_per_epoch steps_per_epoch: None
29 @ validation_data validation_data: None 29 @ validation_fraction validation_fraction: 0.1
30 @ validation_steps validation_steps: None 30 @ validation_steps validation_steps: None
31 @ verbose verbose: 0 31 @ verbose verbose: 0
32 * layers_0_Dense__class_name layers_0_Dense__class_name: 'Dense' 32 * layers_0_Dense__class_name layers_0_Dense__class_name: 'Dense'
33 @ layers_0_Dense__config layers_0_Dense__config: {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None, 784], 'dtype': 'float32', 'units' 33 @ layers_0_Dense__config layers_0_Dense__config: {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None, 784], 'dtype': 'float32', 'units'
34 @ layers_0_Dense__config__activation layers_0_Dense__config__activation: 'linear' 34 @ layers_0_Dense__config__activation layers_0_Dense__config__activation: 'linear'