Mercurial > repos > bgruening > sklearn_mlxtend_association_rules

comparison test-data/keras_params04.tabular @ 0:af2624d5ab32 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 ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
author bgruening
date Sat, 01 May 2021 01:24:32 +0000
parents
children
comparison
equal deleted inserted replaced
-1:000000000000 0:af2624d5ab32
1 Parameter Value
2 @ amsgrad amsgrad: False
3 @ batch_size batch_size: 32
4 @ beta_1 beta_1: 0.9
5 @ beta_2 beta_2: 0.999
6 @ callbacks callbacks: [{'callback_selection': {'callback_type': 'None'}}]
7 @ config config: {'name': 'sequential_1', 'layers': [{'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable
8 @ decay decay: 0.0
9 @ epochs epochs: 100
10 @ layers_0_Dense layers_0_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None,
11 @ layers_1_Activation layers_1_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_1', 'trainable': True, 'dtype': 'float32
12 @ layers_2_Dense layers_2_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units'
13 @ layers_3_Activation layers_3_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_2', 'trainable': True, 'dtype': 'float32
14 @ loss loss: 'mean_squared_error'
15 @ lr lr: 0.001
16 @ metrics metrics: ['mse']
17 @ model_type model_type: 'sequential'
18 @ momentum momentum: None
19 @ nesterov nesterov: None
20 @ optimizer optimizer: 'adam'
21 @ rho rho: None
22 @ schedule_decay schedule_decay: None
23 @ seed seed: 42
24 @ steps_per_epoch steps_per_epoch: None
25 @ validation_fraction validation_fraction: 0.1
26 @ validation_steps validation_steps: None
27 @ verbose verbose: 0
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':
30 @ layers_0_Dense__config__activation layers_0_Dense__config__activation: 'linear'
31 @ layers_0_Dense__config__activity_regularizer layers_0_Dense__config__activity_regularizer: None
32 @ layers_0_Dense__config__batch_input_shape layers_0_Dense__config__batch_input_shape: [None, 17]
33 @ layers_0_Dense__config__bias_constraint layers_0_Dense__config__bias_constraint: None
34 @ layers_0_Dense__config__bias_initializer layers_0_Dense__config__bias_initializer: {'class_name': 'Zeros', 'config': {}}
35 * layers_0_Dense__config__bias_initializer__class_name layers_0_Dense__config__bias_initializer__class_name: 'Zeros'
36 @ layers_0_Dense__config__bias_initializer__config layers_0_Dense__config__bias_initializer__config: {}
37 @ layers_0_Dense__config__bias_regularizer layers_0_Dense__config__bias_regularizer: None
38 @ layers_0_Dense__config__dtype layers_0_Dense__config__dtype: 'float32'
39 @ layers_0_Dense__config__kernel_constraint layers_0_Dense__config__kernel_constraint: None
40 @ layers_0_Dense__config__kernel_initializer layers_0_Dense__config__kernel_initializer: {'class_name': 'VarianceScaling', 'config': {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'unifo
41 * layers_0_Dense__config__kernel_initializer__class_name layers_0_Dense__config__kernel_initializer__class_name: 'VarianceScaling'
42 @ layers_0_Dense__config__kernel_initializer__config layers_0_Dense__config__kernel_initializer__config: {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'uniform', 'seed': None}
43 @ layers_0_Dense__config__kernel_initializer__config__distribution layers_0_Dense__config__kernel_initializer__config__distribution: 'uniform'
44 @ layers_0_Dense__config__kernel_initializer__config__mode layers_0_Dense__config__kernel_initializer__config__mode: 'fan_avg'
45 @ layers_0_Dense__config__kernel_initializer__config__scale layers_0_Dense__config__kernel_initializer__config__scale: 1.0
46 @ layers_0_Dense__config__kernel_initializer__config__seed layers_0_Dense__config__kernel_initializer__config__seed: None
47 @ layers_0_Dense__config__kernel_regularizer layers_0_Dense__config__kernel_regularizer: None
48 * layers_0_Dense__config__name layers_0_Dense__config__name: 'dense_1'
49 @ layers_0_Dense__config__trainable layers_0_Dense__config__trainable: True
50 @ layers_0_Dense__config__units layers_0_Dense__config__units: 32
51 @ layers_0_Dense__config__use_bias layers_0_Dense__config__use_bias: True
52 * layers_1_Activation__class_name layers_1_Activation__class_name: 'Activation'
53 @ layers_1_Activation__config layers_1_Activation__config: {'name': 'activation_1', 'trainable': True, 'dtype': 'float32', 'activation': 'linear'}
54 @ layers_1_Activation__config__activation layers_1_Activation__config__activation: 'linear'
55 @ layers_1_Activation__config__dtype layers_1_Activation__config__dtype: 'float32'
56 * layers_1_Activation__config__name layers_1_Activation__config__name: 'activation_1'
57 @ layers_1_Activation__config__trainable layers_1_Activation__config__trainable: True
58 * layers_2_Dense__class_name layers_2_Dense__class_name: 'Dense'
59 @ layers_2_Dense__config layers_2_Dense__config: {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units': 1, 'activation': 'linear', 'use_
60 @ layers_2_Dense__config__activation layers_2_Dense__config__activation: 'linear'
61 @ layers_2_Dense__config__activity_regularizer layers_2_Dense__config__activity_regularizer: None
62 @ layers_2_Dense__config__bias_constraint layers_2_Dense__config__bias_constraint: None
63 @ layers_2_Dense__config__bias_initializer layers_2_Dense__config__bias_initializer: {'class_name': 'Zeros', 'config': {}}
64 * layers_2_Dense__config__bias_initializer__class_name layers_2_Dense__config__bias_initializer__class_name: 'Zeros'
65 @ layers_2_Dense__config__bias_initializer__config layers_2_Dense__config__bias_initializer__config: {}
66 @ layers_2_Dense__config__bias_regularizer layers_2_Dense__config__bias_regularizer: None
67 @ layers_2_Dense__config__dtype layers_2_Dense__config__dtype: 'float32'
68 @ layers_2_Dense__config__kernel_constraint layers_2_Dense__config__kernel_constraint: None
69 @ layers_2_Dense__config__kernel_initializer layers_2_Dense__config__kernel_initializer: {'class_name': 'VarianceScaling', 'config': {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'unifo
70 * layers_2_Dense__config__kernel_initializer__class_name layers_2_Dense__config__kernel_initializer__class_name: 'VarianceScaling'
71 @ layers_2_Dense__config__kernel_initializer__config layers_2_Dense__config__kernel_initializer__config: {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'uniform', 'seed': None}
72 @ layers_2_Dense__config__kernel_initializer__config__distribution layers_2_Dense__config__kernel_initializer__config__distribution: 'uniform'
73 @ layers_2_Dense__config__kernel_initializer__config__mode layers_2_Dense__config__kernel_initializer__config__mode: 'fan_avg'
74 @ layers_2_Dense__config__kernel_initializer__config__scale layers_2_Dense__config__kernel_initializer__config__scale: 1.0
75 @ layers_2_Dense__config__kernel_initializer__config__seed layers_2_Dense__config__kernel_initializer__config__seed: None
76 @ layers_2_Dense__config__kernel_regularizer layers_2_Dense__config__kernel_regularizer: None
77 * layers_2_Dense__config__name layers_2_Dense__config__name: 'dense_2'
78 @ layers_2_Dense__config__trainable layers_2_Dense__config__trainable: True
79 @ layers_2_Dense__config__units layers_2_Dense__config__units: 1
80 @ layers_2_Dense__config__use_bias layers_2_Dense__config__use_bias: True
81 * layers_3_Activation__class_name layers_3_Activation__class_name: 'Activation'
82 @ layers_3_Activation__config layers_3_Activation__config: {'name': 'activation_2', 'trainable': True, 'dtype': 'float32', 'activation': 'linear'}
83 @ layers_3_Activation__config__activation layers_3_Activation__config__activation: 'linear'
84 @ layers_3_Activation__config__dtype layers_3_Activation__config__dtype: 'float32'
85 * layers_3_Activation__config__name layers_3_Activation__config__name: 'activation_2'
86 @ layers_3_Activation__config__trainable layers_3_Activation__config__trainable: True
87 Note: @, params eligible for search in searchcv tool.