Mercurial > repos > bgruening > sklearn_stacking_ensemble_models

comparison test-data/keras_batch_params01.tabular @ 7:a2e4a45c6083 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 6bb8bb56f44769dcba665de057c35d74ac89e196"
author bgruening
date Mon, 16 Dec 2019 08:14:20 -0500
parents 22560cf810b8
children ac40a2fe5750
comparison
equal deleted inserted replaced
6:fb424213e9dd 7:a2e4a45c6083
4 @ beta_1 beta_1: None 4 @ beta_1 beta_1: None
5 @ beta_2 beta_2: None 5 @ beta_2 beta_2: None
6 @ callbacks callbacks: [{'callback_selection': {'callback_type': 'None'}}] 6 @ callbacks callbacks: [{'callback_selection': {'callback_type': 'None'}}]
7 @ class_positive_factor class_positive_factor: 1.0 7 @ class_positive_factor class_positive_factor: 1.0
8 @ config config: {'name': 'sequential_1', 'layers': [{'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable 8 @ config config: {'name': 'sequential_1', 'layers': [{'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable
9 @ data_batch_generator "data_batch_generator: FastaDNABatchGenerator(fasta_path='to_be_determined', seed=999, 9 @ data_batch_generator "data_batch_generator: FastaDNABatchGenerator(fasta_path='to_be_determined', seed=999, seq_length=1000,
10 seq_length=1000, shuffle=True)" 10 shuffle=True)"
11 @ decay decay: 0.0 11 @ decay decay: 0.0
12 @ epochs epochs: 100 12 @ epochs epochs: 100
13 @ epsilon epsilon: None
14 @ layers_0_Dense layers_0_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None, 13 @ layers_0_Dense layers_0_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None,
15 @ layers_1_Activation layers_1_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_1', 'trainable': True, 'activation': 're 14 @ layers_1_Activation layers_1_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_1', 'trainable': True, 'dtype': 'float32
16 @ layers_2_Dense layers_2_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'units': 10, 'activation': 15 @ layers_2_Dense layers_2_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units'
17 @ layers_3_Activation layers_3_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_2', 'trainable': True, 'activation': 'so 16 @ layers_3_Activation layers_3_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_2', 'trainable': True, 'dtype': 'float32
18 @ loss loss: 'binary_crossentropy' 17 @ loss loss: 'binary_crossentropy'
19 @ lr lr: 0.01 18 @ lr lr: 0.01
20 @ metrics metrics: ['acc'] 19 @ metrics metrics: ['acc']
21 @ model_type model_type: 'sequential' 20 @ model_type model_type: 'sequential'
22 @ momentum momentum: 0.0 21 @ momentum momentum: 0.0
58 * layers_0_Dense__config__name layers_0_Dense__config__name: 'dense_1' 57 * layers_0_Dense__config__name layers_0_Dense__config__name: 'dense_1'
59 @ layers_0_Dense__config__trainable layers_0_Dense__config__trainable: True 58 @ layers_0_Dense__config__trainable layers_0_Dense__config__trainable: True
60 @ layers_0_Dense__config__units layers_0_Dense__config__units: 32 59 @ layers_0_Dense__config__units layers_0_Dense__config__units: 32
61 @ layers_0_Dense__config__use_bias layers_0_Dense__config__use_bias: True 60 @ layers_0_Dense__config__use_bias layers_0_Dense__config__use_bias: True
62 * layers_1_Activation__class_name layers_1_Activation__class_name: 'Activation' 61 * layers_1_Activation__class_name layers_1_Activation__class_name: 'Activation'
63 @ layers_1_Activation__config layers_1_Activation__config: {'name': 'activation_1', 'trainable': True, 'activation': 'relu'} 62 @ layers_1_Activation__config layers_1_Activation__config: {'name': 'activation_1', 'trainable': True, 'dtype': 'float32', 'activation': 'relu'}
64 @ layers_1_Activation__config__activation layers_1_Activation__config__activation: 'relu' 63 @ layers_1_Activation__config__activation layers_1_Activation__config__activation: 'relu'
64 @ layers_1_Activation__config__dtype layers_1_Activation__config__dtype: 'float32'
65 * layers_1_Activation__config__name layers_1_Activation__config__name: 'activation_1' 65 * layers_1_Activation__config__name layers_1_Activation__config__name: 'activation_1'
66 @ layers_1_Activation__config__trainable layers_1_Activation__config__trainable: True 66 @ layers_1_Activation__config__trainable layers_1_Activation__config__trainable: True
67 * layers_2_Dense__class_name layers_2_Dense__class_name: 'Dense' 67 * layers_2_Dense__class_name layers_2_Dense__class_name: 'Dense'
68 @ layers_2_Dense__config layers_2_Dense__config: {'name': 'dense_2', 'trainable': True, 'units': 10, 'activation': 'linear', 'use_bias': True, 'kerne 68 @ layers_2_Dense__config layers_2_Dense__config: {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units': 10, 'activation': 'linear', 'use
69 @ layers_2_Dense__config__activation layers_2_Dense__config__activation: 'linear' 69 @ layers_2_Dense__config__activation layers_2_Dense__config__activation: 'linear'
70 @ layers_2_Dense__config__activity_regularizer layers_2_Dense__config__activity_regularizer: None 70 @ layers_2_Dense__config__activity_regularizer layers_2_Dense__config__activity_regularizer: None
71 @ layers_2_Dense__config__bias_constraint layers_2_Dense__config__bias_constraint: None 71 @ layers_2_Dense__config__bias_constraint layers_2_Dense__config__bias_constraint: None
72 @ layers_2_Dense__config__bias_initializer layers_2_Dense__config__bias_initializer: {'class_name': 'Zeros', 'config': {}} 72 @ layers_2_Dense__config__bias_initializer layers_2_Dense__config__bias_initializer: {'class_name': 'Zeros', 'config': {}}
73 * layers_2_Dense__config__bias_initializer__class_name layers_2_Dense__config__bias_initializer__class_name: 'Zeros' 73 * layers_2_Dense__config__bias_initializer__class_name layers_2_Dense__config__bias_initializer__class_name: 'Zeros'
74 @ layers_2_Dense__config__bias_initializer__config layers_2_Dense__config__bias_initializer__config: {} 74 @ layers_2_Dense__config__bias_initializer__config layers_2_Dense__config__bias_initializer__config: {}
75 @ layers_2_Dense__config__bias_regularizer layers_2_Dense__config__bias_regularizer: None 75 @ layers_2_Dense__config__bias_regularizer layers_2_Dense__config__bias_regularizer: None
76 @ layers_2_Dense__config__dtype layers_2_Dense__config__dtype: 'float32'
76 @ layers_2_Dense__config__kernel_constraint layers_2_Dense__config__kernel_constraint: None 77 @ layers_2_Dense__config__kernel_constraint layers_2_Dense__config__kernel_constraint: None
77 @ layers_2_Dense__config__kernel_initializer layers_2_Dense__config__kernel_initializer: {'class_name': 'VarianceScaling', 'config': {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'unifo 78 @ layers_2_Dense__config__kernel_initializer layers_2_Dense__config__kernel_initializer: {'class_name': 'VarianceScaling', 'config': {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'unifo
78 * layers_2_Dense__config__kernel_initializer__class_name layers_2_Dense__config__kernel_initializer__class_name: 'VarianceScaling' 79 * layers_2_Dense__config__kernel_initializer__class_name layers_2_Dense__config__kernel_initializer__class_name: 'VarianceScaling'
79 @ layers_2_Dense__config__kernel_initializer__config layers_2_Dense__config__kernel_initializer__config: {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'uniform', 'seed': None} 80 @ layers_2_Dense__config__kernel_initializer__config layers_2_Dense__config__kernel_initializer__config: {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'uniform', 'seed': None}
80 @ layers_2_Dense__config__kernel_initializer__config__distribution layers_2_Dense__config__kernel_initializer__config__distribution: 'uniform' 81 @ layers_2_Dense__config__kernel_initializer__config__distribution layers_2_Dense__config__kernel_initializer__config__distribution: 'uniform'
85 * layers_2_Dense__config__name layers_2_Dense__config__name: 'dense_2' 86 * layers_2_Dense__config__name layers_2_Dense__config__name: 'dense_2'
86 @ layers_2_Dense__config__trainable layers_2_Dense__config__trainable: True 87 @ layers_2_Dense__config__trainable layers_2_Dense__config__trainable: True
87 @ layers_2_Dense__config__units layers_2_Dense__config__units: 10 88 @ layers_2_Dense__config__units layers_2_Dense__config__units: 10
88 @ layers_2_Dense__config__use_bias layers_2_Dense__config__use_bias: True 89 @ layers_2_Dense__config__use_bias layers_2_Dense__config__use_bias: True
89 * layers_3_Activation__class_name layers_3_Activation__class_name: 'Activation' 90 * layers_3_Activation__class_name layers_3_Activation__class_name: 'Activation'
90 @ layers_3_Activation__config layers_3_Activation__config: {'name': 'activation_2', 'trainable': True, 'activation': 'softmax'} 91 @ layers_3_Activation__config layers_3_Activation__config: {'name': 'activation_2', 'trainable': True, 'dtype': 'float32', 'activation': 'softmax'}
91 @ layers_3_Activation__config__activation layers_3_Activation__config__activation: 'softmax' 92 @ layers_3_Activation__config__activation layers_3_Activation__config__activation: 'softmax'
93 @ layers_3_Activation__config__dtype layers_3_Activation__config__dtype: 'float32'
92 * layers_3_Activation__config__name layers_3_Activation__config__name: 'activation_2' 94 * layers_3_Activation__config__name layers_3_Activation__config__name: 'activation_2'
93 @ layers_3_Activation__config__trainable layers_3_Activation__config__trainable: True 95 @ layers_3_Activation__config__trainable layers_3_Activation__config__trainable: True
94 Note: @, params eligible for search in searchcv tool. 96 Note: @, params eligible for search in searchcv tool.