Mercurial > repos > bgruening > sklearn_mlxtend_association_rules

comparison test-data/keras_batch_params01.tabular @ 0:af2624d5ab32 draft

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"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
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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: FastaDNABatchGenerator(fasta_path='to_be_determined', seed=999, seq_length=1000,
10 shuffle=True)"
11 @ decay decay: 0.0
12 @ epochs epochs: 100
13 @ layers_0_Dense layers_0_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None,
14 @ layers_1_Activation layers_1_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_1', 'trainable': True, 'dtype': 'float32
15 @ layers_2_Dense layers_2_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units'
16 @ layers_3_Activation layers_3_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_2', 'trainable': True, 'dtype': 'float32
17 @ loss loss: 'binary_crossentropy'
18 @ lr lr: 0.01
19 @ metrics metrics: ['acc']
20 @ model_type model_type: 'sequential'
21 @ momentum momentum: 0.0
22 * n_jobs n_jobs: 1
23 @ nesterov nesterov: False
24 @ optimizer optimizer: 'sgd'
25 @ prediction_steps prediction_steps: None
26 @ rho rho: None
27 @ schedule_decay schedule_decay: None
28 @ seed seed: None
29 @ steps_per_epoch steps_per_epoch: None
30 @ validation_fraction validation_fraction: 0.1
31 @ validation_steps validation_steps: None
32 @ verbose verbose: 0
33 * data_batch_generator__fasta_path data_batch_generator__fasta_path: 'to_be_determined'
34 @ data_batch_generator__seed data_batch_generator__seed: 999
35 @ data_batch_generator__seq_length data_batch_generator__seq_length: 1000
36 @ data_batch_generator__shuffle data_batch_generator__shuffle: True
37 * layers_0_Dense__class_name layers_0_Dense__class_name: 'Dense'
38 @ layers_0_Dense__config layers_0_Dense__config: {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None, 784], 'dtype': 'float32', 'units'
39 @ layers_0_Dense__config__activation layers_0_Dense__config__activation: 'linear'
40 @ layers_0_Dense__config__activity_regularizer layers_0_Dense__config__activity_regularizer: None
41 @ layers_0_Dense__config__batch_input_shape layers_0_Dense__config__batch_input_shape: [None, 784]
42 @ layers_0_Dense__config__bias_constraint layers_0_Dense__config__bias_constraint: None
43 @ layers_0_Dense__config__bias_initializer layers_0_Dense__config__bias_initializer: {'class_name': 'Zeros', 'config': {}}
44 * layers_0_Dense__config__bias_initializer__class_name layers_0_Dense__config__bias_initializer__class_name: 'Zeros'
45 @ layers_0_Dense__config__bias_initializer__config layers_0_Dense__config__bias_initializer__config: {}
46 @ layers_0_Dense__config__bias_regularizer layers_0_Dense__config__bias_regularizer: None
47 @ layers_0_Dense__config__dtype layers_0_Dense__config__dtype: 'float32'
48 @ layers_0_Dense__config__kernel_constraint layers_0_Dense__config__kernel_constraint: None
49 @ layers_0_Dense__config__kernel_initializer layers_0_Dense__config__kernel_initializer: {'class_name': 'VarianceScaling', 'config': {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'unifo
50 * layers_0_Dense__config__kernel_initializer__class_name layers_0_Dense__config__kernel_initializer__class_name: 'VarianceScaling'
51 @ layers_0_Dense__config__kernel_initializer__config layers_0_Dense__config__kernel_initializer__config: {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'uniform', 'seed': None}
52 @ layers_0_Dense__config__kernel_initializer__config__distribution layers_0_Dense__config__kernel_initializer__config__distribution: 'uniform'
53 @ layers_0_Dense__config__kernel_initializer__config__mode layers_0_Dense__config__kernel_initializer__config__mode: 'fan_avg'
54 @ layers_0_Dense__config__kernel_initializer__config__scale layers_0_Dense__config__kernel_initializer__config__scale: 1.0
55 @ layers_0_Dense__config__kernel_initializer__config__seed layers_0_Dense__config__kernel_initializer__config__seed: None
56 @ layers_0_Dense__config__kernel_regularizer layers_0_Dense__config__kernel_regularizer: None
57 * layers_0_Dense__config__name layers_0_Dense__config__name: 'dense_1'
58 @ layers_0_Dense__config__trainable layers_0_Dense__config__trainable: True
59 @ layers_0_Dense__config__units layers_0_Dense__config__units: 32
60 @ layers_0_Dense__config__use_bias layers_0_Dense__config__use_bias: True
61 * layers_1_Activation__class_name layers_1_Activation__class_name: 'Activation'
62 @ layers_1_Activation__config layers_1_Activation__config: {'name': 'activation_1', 'trainable': True, 'dtype': 'float32', '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'
66 @ layers_1_Activation__config__trainable layers_1_Activation__config__trainable: True
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, 'dtype': 'float32', 'units': 10, 'activation': 'linear', 'use
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
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': {}}
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: {}
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'
77 @ layers_2_Dense__config__kernel_constraint layers_2_Dense__config__kernel_constraint: None
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
79 * layers_2_Dense__config__kernel_initializer__class_name layers_2_Dense__config__kernel_initializer__class_name: 'VarianceScaling'
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}
81 @ layers_2_Dense__config__kernel_initializer__config__distribution layers_2_Dense__config__kernel_initializer__config__distribution: 'uniform'
82 @ layers_2_Dense__config__kernel_initializer__config__mode layers_2_Dense__config__kernel_initializer__config__mode: 'fan_avg'
83 @ layers_2_Dense__config__kernel_initializer__config__scale layers_2_Dense__config__kernel_initializer__config__scale: 1.0
84 @ layers_2_Dense__config__kernel_initializer__config__seed layers_2_Dense__config__kernel_initializer__config__seed: None
85 @ layers_2_Dense__config__kernel_regularizer layers_2_Dense__config__kernel_regularizer: None
86 * layers_2_Dense__config__name layers_2_Dense__config__name: 'dense_2'
87 @ layers_2_Dense__config__trainable layers_2_Dense__config__trainable: True
88 @ layers_2_Dense__config__units layers_2_Dense__config__units: 10
89 @ layers_2_Dense__config__use_bias layers_2_Dense__config__use_bias: True
90 * layers_3_Activation__class_name layers_3_Activation__class_name: 'Activation'
91 @ layers_3_Activation__config layers_3_Activation__config: {'name': 'activation_2', 'trainable': True, 'dtype': 'float32', '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'
94 * layers_3_Activation__config__name layers_3_Activation__config__name: 'activation_2'
95 @ layers_3_Activation__config__trainable layers_3_Activation__config__trainable: True
96 Note: @, params eligible for search in searchcv tool.