Mercurial > repos > bgruening > keras_model_config

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 3c1e6c72303cfd8a5fd014734f18402b97f8ecb5
author bgruening
date Fri, 22 Sep 2023 16:38:01 +0000
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1 Parameter Value
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2 @ amsgrad amsgrad: None
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3 @ batch_size batch_size: 32
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4 @ beta_1 beta_1: None
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5 @ beta_2 beta_2: None
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6 @ callbacks callbacks: [{'callback_selection': {'callback_type': 'None'}}]
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7 @ class_positive_factor class_positive_factor: 1.0
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8 @ config config: {'name': 'sequential_1', 'layers': [{'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable
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9 @ data_batch_generator "data_batch_generator: FastaDNABatchGenerator(fasta_path='to_be_determined', seed=999, seq_length=1000,
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10 shuffle=True)"
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11 @ decay decay: 0.0
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12 @ epochs epochs: 100
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13 @ layers_0_Dense layers_0_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None,
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14 @ layers_1_Activation layers_1_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_1', 'trainable': True, 'dtype': 'float32
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15 @ layers_2_Dense layers_2_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units'
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16 @ layers_3_Activation layers_3_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_2', 'trainable': True, 'dtype': 'float32
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17 @ loss loss: 'binary_crossentropy'
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18 @ lr lr: 0.01
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19 @ metrics metrics: ['acc']
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20 @ model_type model_type: 'sequential'
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21 @ momentum momentum: 0.0
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22 * n_jobs n_jobs: 1
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23 @ nesterov nesterov: False
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24 @ optimizer optimizer: 'sgd'
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25 @ prediction_steps prediction_steps: None
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26 @ rho rho: None
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27 @ schedule_decay schedule_decay: None
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28 @ seed seed: None
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29 @ steps_per_epoch steps_per_epoch: None
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30 @ validation_fraction validation_fraction: 0.1
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31 @ validation_steps validation_steps: None
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32 @ verbose verbose: 0
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33 * data_batch_generator__fasta_path data_batch_generator__fasta_path: 'to_be_determined'
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34 @ data_batch_generator__seed data_batch_generator__seed: 999
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35 @ data_batch_generator__seq_length data_batch_generator__seq_length: 1000
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36 @ data_batch_generator__shuffle data_batch_generator__shuffle: True
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37 * layers_0_Dense__class_name layers_0_Dense__class_name: 'Dense'
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38 @ layers_0_Dense__config layers_0_Dense__config: {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None, 784], 'dtype': 'float32', 'units'
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39 @ layers_0_Dense__config__activation layers_0_Dense__config__activation: 'linear'
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40 @ layers_0_Dense__config__activity_regularizer layers_0_Dense__config__activity_regularizer: None
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41 @ layers_0_Dense__config__batch_input_shape layers_0_Dense__config__batch_input_shape: [None, 784]
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42 @ layers_0_Dense__config__bias_constraint layers_0_Dense__config__bias_constraint: None
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43 @ layers_0_Dense__config__bias_initializer layers_0_Dense__config__bias_initializer: {'class_name': 'Zeros', 'config': {}}
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44 * layers_0_Dense__config__bias_initializer__class_name layers_0_Dense__config__bias_initializer__class_name: 'Zeros'
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45 @ layers_0_Dense__config__bias_initializer__config layers_0_Dense__config__bias_initializer__config: {}
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46 @ layers_0_Dense__config__bias_regularizer layers_0_Dense__config__bias_regularizer: None
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47 @ layers_0_Dense__config__dtype layers_0_Dense__config__dtype: 'float32'
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48 @ layers_0_Dense__config__kernel_constraint layers_0_Dense__config__kernel_constraint: None
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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
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50 * layers_0_Dense__config__kernel_initializer__class_name layers_0_Dense__config__kernel_initializer__class_name: 'VarianceScaling'
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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}
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52 @ layers_0_Dense__config__kernel_initializer__config__distribution layers_0_Dense__config__kernel_initializer__config__distribution: 'uniform'
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53 @ layers_0_Dense__config__kernel_initializer__config__mode layers_0_Dense__config__kernel_initializer__config__mode: 'fan_avg'
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54 @ layers_0_Dense__config__kernel_initializer__config__scale layers_0_Dense__config__kernel_initializer__config__scale: 1.0
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55 @ layers_0_Dense__config__kernel_initializer__config__seed layers_0_Dense__config__kernel_initializer__config__seed: None
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56 @ layers_0_Dense__config__kernel_regularizer layers_0_Dense__config__kernel_regularizer: None
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57 * layers_0_Dense__config__name layers_0_Dense__config__name: 'dense_1'
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58 @ layers_0_Dense__config__trainable layers_0_Dense__config__trainable: True
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59 @ layers_0_Dense__config__units layers_0_Dense__config__units: 32
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60 @ layers_0_Dense__config__use_bias layers_0_Dense__config__use_bias: True
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61 * layers_1_Activation__class_name layers_1_Activation__class_name: 'Activation'
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62 @ layers_1_Activation__config layers_1_Activation__config: {'name': 'activation_1', 'trainable': True, 'dtype': 'float32', 'activation': 'relu'}
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63 @ layers_1_Activation__config__activation layers_1_Activation__config__activation: 'relu'
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64 @ layers_1_Activation__config__dtype layers_1_Activation__config__dtype: 'float32'
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65 * layers_1_Activation__config__name layers_1_Activation__config__name: 'activation_1'
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66 @ layers_1_Activation__config__trainable layers_1_Activation__config__trainable: True
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67 * layers_2_Dense__class_name layers_2_Dense__class_name: 'Dense'
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68 @ layers_2_Dense__config layers_2_Dense__config: {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units': 10, 'activation': 'linear', 'use
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69 @ layers_2_Dense__config__activation layers_2_Dense__config__activation: 'linear'
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70 @ layers_2_Dense__config__activity_regularizer layers_2_Dense__config__activity_regularizer: None
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71 @ layers_2_Dense__config__bias_constraint layers_2_Dense__config__bias_constraint: None
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72 @ layers_2_Dense__config__bias_initializer layers_2_Dense__config__bias_initializer: {'class_name': 'Zeros', 'config': {}}
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73 * layers_2_Dense__config__bias_initializer__class_name layers_2_Dense__config__bias_initializer__class_name: 'Zeros'
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74 @ layers_2_Dense__config__bias_initializer__config layers_2_Dense__config__bias_initializer__config: {}
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75 @ layers_2_Dense__config__bias_regularizer layers_2_Dense__config__bias_regularizer: None
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76 @ layers_2_Dense__config__dtype layers_2_Dense__config__dtype: 'float32'
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77 @ layers_2_Dense__config__kernel_constraint layers_2_Dense__config__kernel_constraint: None
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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
1046cf73236b planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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79 * layers_2_Dense__config__kernel_initializer__class_name layers_2_Dense__config__kernel_initializer__class_name: 'VarianceScaling'
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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}
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81 @ layers_2_Dense__config__kernel_initializer__config__distribution layers_2_Dense__config__kernel_initializer__config__distribution: 'uniform'
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82 @ layers_2_Dense__config__kernel_initializer__config__mode layers_2_Dense__config__kernel_initializer__config__mode: 'fan_avg'
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83 @ layers_2_Dense__config__kernel_initializer__config__scale layers_2_Dense__config__kernel_initializer__config__scale: 1.0
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84 @ layers_2_Dense__config__kernel_initializer__config__seed layers_2_Dense__config__kernel_initializer__config__seed: None
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85 @ layers_2_Dense__config__kernel_regularizer layers_2_Dense__config__kernel_regularizer: None
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86 * layers_2_Dense__config__name layers_2_Dense__config__name: 'dense_2'
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87 @ layers_2_Dense__config__trainable layers_2_Dense__config__trainable: True
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88 @ layers_2_Dense__config__units layers_2_Dense__config__units: 10
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89 @ layers_2_Dense__config__use_bias layers_2_Dense__config__use_bias: True
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90 * layers_3_Activation__class_name layers_3_Activation__class_name: 'Activation'
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91 @ layers_3_Activation__config layers_3_Activation__config: {'name': 'activation_2', 'trainable': True, 'dtype': 'float32', 'activation': 'softmax'}
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92 @ layers_3_Activation__config__activation layers_3_Activation__config__activation: 'softmax'
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93 @ layers_3_Activation__config__dtype layers_3_Activation__config__dtype: 'float32'
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94 * layers_3_Activation__config__name layers_3_Activation__config__name: 'activation_2'
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95 @ layers_3_Activation__config__trainable layers_3_Activation__config__trainable: True
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96 Note: @, params eligible for search in searchcv tool.