Mercurial > repos > bgruening > sklearn_regression_metrics
comparison test-data/keras_batch_params01.tabular @ 24:a152c1d23379 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author | bgruening |
---|---|
date | Mon, 16 Dec 2019 05:25:18 -0500 |
parents | 28d51b976c29 |
children | 0cc5098a9bff |
comparison
equal
deleted
inserted
replaced
23:649017be1c60 | 24:a152c1d23379 |
---|---|
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. |