Mercurial > repos > bgruening > sklearn_generalized_linear

comparison test-data/keras_batch_params04.tabular @ 31:a8c7b9fa426c 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 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author bgruening
date Mon, 16 Dec 2019 05:29:33 -0500
parents
children 602edec75e1d
comparison
equal deleted inserted replaced
30:67881a837f46 31:a8c7b9fa426c
1 Parameter Value
2 @ amsgrad amsgrad: None
3 @ batch_size batch_size: 32
4 @ beta_1 beta_1: None
5 @ beta_2 beta_2: None
6 @ callbacks callbacks: [{'callback_selection': {'callback_type': 'None'}}]
7 @ class_positive_factor class_positive_factor: 1.0
8 @ config config: {'name': 'sequential_1', 'layers': [{'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable
9 @ data_batch_generator data_batch_generator: None
10 @ decay decay: 0.0
11 @ epochs epochs: 100
12 @ layers_0_Dense layers_0_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None,
13 @ layers_1_Activation layers_1_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_1', 'trainable': True, 'dtype': 'float32
14 @ layers_2_Dense layers_2_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units'
15 @ layers_3_Activation layers_3_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_2', 'trainable': True, 'dtype': 'float32
16 @ loss loss: 'binary_crossentropy'
17 @ lr lr: 0.01
18 @ metrics metrics: ['acc']
19 @ model_type model_type: 'sequential'
20 @ momentum momentum: 0.0
21 * n_jobs n_jobs: 1
22 @ nesterov nesterov: False
23 @ optimizer optimizer: 'sgd'
24 @ prediction_steps prediction_steps: None
25 @ rho rho: None
26 @ schedule_decay schedule_decay: None
27 @ seed seed: None
28 @ steps_per_epoch steps_per_epoch: None
29 @ validation_data validation_data: None
30 @ validation_steps validation_steps: None
31 @ verbose verbose: 0
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'
34 @ layers_0_Dense__config__activation layers_0_Dense__config__activation: 'linear'
35 @ layers_0_Dense__config__activity_regularizer layers_0_Dense__config__activity_regularizer: None
36 @ layers_0_Dense__config__batch_input_shape layers_0_Dense__config__batch_input_shape: [None, 784]
37 @ layers_0_Dense__config__bias_constraint layers_0_Dense__config__bias_constraint: None
38 @ layers_0_Dense__config__bias_initializer layers_0_Dense__config__bias_initializer: {'class_name': 'Zeros', 'config': {}}
39 * layers_0_Dense__config__bias_initializer__class_name layers_0_Dense__config__bias_initializer__class_name: 'Zeros'
40 @ layers_0_Dense__config__bias_initializer__config layers_0_Dense__config__bias_initializer__config: {}
41 @ layers_0_Dense__config__bias_regularizer layers_0_Dense__config__bias_regularizer: None
42 @ layers_0_Dense__config__dtype layers_0_Dense__config__dtype: 'float32'
43 @ layers_0_Dense__config__kernel_constraint layers_0_Dense__config__kernel_constraint: None
44 @ layers_0_Dense__config__kernel_initializer layers_0_Dense__config__kernel_initializer: {'class_name': 'VarianceScaling', 'config': {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'unifo
45 * layers_0_Dense__config__kernel_initializer__class_name layers_0_Dense__config__kernel_initializer__class_name: 'VarianceScaling'
46 @ layers_0_Dense__config__kernel_initializer__config layers_0_Dense__config__kernel_initializer__config: {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'uniform', 'seed': None}
47 @ layers_0_Dense__config__kernel_initializer__config__distribution layers_0_Dense__config__kernel_initializer__config__distribution: 'uniform'
48 @ layers_0_Dense__config__kernel_initializer__config__mode layers_0_Dense__config__kernel_initializer__config__mode: 'fan_avg'
49 @ layers_0_Dense__config__kernel_initializer__config__scale layers_0_Dense__config__kernel_initializer__config__scale: 1.0
50 @ layers_0_Dense__config__kernel_initializer__config__seed layers_0_Dense__config__kernel_initializer__config__seed: None
51 @ layers_0_Dense__config__kernel_regularizer layers_0_Dense__config__kernel_regularizer: None
52 * layers_0_Dense__config__name layers_0_Dense__config__name: 'dense_1'
53 @ layers_0_Dense__config__trainable layers_0_Dense__config__trainable: True
54 @ layers_0_Dense__config__units layers_0_Dense__config__units: 32
55 @ layers_0_Dense__config__use_bias layers_0_Dense__config__use_bias: True
56 * layers_1_Activation__class_name layers_1_Activation__class_name: 'Activation'
57 @ layers_1_Activation__config layers_1_Activation__config: {'name': 'activation_1', 'trainable': True, 'dtype': 'float32', 'activation': 'relu'}
58 @ layers_1_Activation__config__activation layers_1_Activation__config__activation: 'relu'
59 @ layers_1_Activation__config__dtype layers_1_Activation__config__dtype: 'float32'
60 * layers_1_Activation__config__name layers_1_Activation__config__name: 'activation_1'
61 @ layers_1_Activation__config__trainable layers_1_Activation__config__trainable: True
62 * layers_2_Dense__class_name layers_2_Dense__class_name: 'Dense'
63 @ layers_2_Dense__config layers_2_Dense__config: {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units': 10, 'activation': 'linear', 'use
64 @ layers_2_Dense__config__activation layers_2_Dense__config__activation: 'linear'
65 @ layers_2_Dense__config__activity_regularizer layers_2_Dense__config__activity_regularizer: None
66 @ layers_2_Dense__config__bias_constraint layers_2_Dense__config__bias_constraint: None
67 @ layers_2_Dense__config__bias_initializer layers_2_Dense__config__bias_initializer: {'class_name': 'Zeros', 'config': {}}
68 * layers_2_Dense__config__bias_initializer__class_name layers_2_Dense__config__bias_initializer__class_name: 'Zeros'
69 @ layers_2_Dense__config__bias_initializer__config layers_2_Dense__config__bias_initializer__config: {}
70 @ layers_2_Dense__config__bias_regularizer layers_2_Dense__config__bias_regularizer: None
71 @ layers_2_Dense__config__dtype layers_2_Dense__config__dtype: 'float32'
72 @ layers_2_Dense__config__kernel_constraint layers_2_Dense__config__kernel_constraint: None
73 @ layers_2_Dense__config__kernel_initializer layers_2_Dense__config__kernel_initializer: {'class_name': 'VarianceScaling', 'config': {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'unifo
74 * layers_2_Dense__config__kernel_initializer__class_name layers_2_Dense__config__kernel_initializer__class_name: 'VarianceScaling'
75 @ layers_2_Dense__config__kernel_initializer__config layers_2_Dense__config__kernel_initializer__config: {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'uniform', 'seed': None}
76 @ layers_2_Dense__config__kernel_initializer__config__distribution layers_2_Dense__config__kernel_initializer__config__distribution: 'uniform'
77 @ layers_2_Dense__config__kernel_initializer__config__mode layers_2_Dense__config__kernel_initializer__config__mode: 'fan_avg'
78 @ layers_2_Dense__config__kernel_initializer__config__scale layers_2_Dense__config__kernel_initializer__config__scale: 1.0
79 @ layers_2_Dense__config__kernel_initializer__config__seed layers_2_Dense__config__kernel_initializer__config__seed: None
80 @ layers_2_Dense__config__kernel_regularizer layers_2_Dense__config__kernel_regularizer: None
81 * layers_2_Dense__config__name layers_2_Dense__config__name: 'dense_2'
82 @ layers_2_Dense__config__trainable layers_2_Dense__config__trainable: True
83 @ layers_2_Dense__config__units layers_2_Dense__config__units: 10
84 @ layers_2_Dense__config__use_bias layers_2_Dense__config__use_bias: True
85 * layers_3_Activation__class_name layers_3_Activation__class_name: 'Activation'
86 @ layers_3_Activation__config layers_3_Activation__config: {'name': 'activation_2', 'trainable': True, 'dtype': 'float32', 'activation': 'softmax'}
87 @ layers_3_Activation__config__activation layers_3_Activation__config__activation: 'softmax'
88 @ layers_3_Activation__config__dtype layers_3_Activation__config__dtype: 'float32'
89 * layers_3_Activation__config__name layers_3_Activation__config__name: 'activation_2'
90 @ layers_3_Activation__config__trainable layers_3_Activation__config__trainable: True
91 Note: @, params eligible for search in searchcv tool.