Mercurial > repos > bgruening > sklearn_ensemble
diff test-data/keras_batch_params01.tabular @ 31:af0523c606a7 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author | bgruening |
---|---|
date | Mon, 16 Dec 2019 05:42:39 -0500 |
parents | dde0f1654d18 |
children | 19d6c2745d34 |
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--- a/test-data/keras_batch_params01.tabular Thu Nov 07 05:45:03 2019 -0500 +++ b/test-data/keras_batch_params01.tabular Mon Dec 16 05:42:39 2019 -0500 @@ -6,15 +6,14 @@ @ callbacks callbacks: [{'callback_selection': {'callback_type': 'None'}}] @ class_positive_factor class_positive_factor: 1.0 @ config config: {'name': 'sequential_1', 'layers': [{'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable -@ data_batch_generator "data_batch_generator: FastaDNABatchGenerator(fasta_path='to_be_determined', seed=999, - seq_length=1000, shuffle=True)" +@ data_batch_generator "data_batch_generator: FastaDNABatchGenerator(fasta_path='to_be_determined', seed=999, seq_length=1000, + shuffle=True)" @ decay decay: 0.0 @ epochs epochs: 100 -@ epsilon epsilon: None @ layers_0_Dense layers_0_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None, -@ layers_1_Activation layers_1_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_1', 'trainable': True, 'activation': 're -@ layers_2_Dense layers_2_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'units': 10, 'activation': -@ layers_3_Activation layers_3_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_2', 'trainable': True, 'activation': 'so +@ layers_1_Activation layers_1_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_1', 'trainable': True, 'dtype': 'float32 +@ layers_2_Dense layers_2_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units' +@ layers_3_Activation layers_3_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_2', 'trainable': True, 'dtype': 'float32 @ loss loss: 'binary_crossentropy' @ lr lr: 0.01 @ metrics metrics: ['acc'] @@ -60,12 +59,13 @@ @ layers_0_Dense__config__units layers_0_Dense__config__units: 32 @ layers_0_Dense__config__use_bias layers_0_Dense__config__use_bias: True * layers_1_Activation__class_name layers_1_Activation__class_name: 'Activation' -@ layers_1_Activation__config layers_1_Activation__config: {'name': 'activation_1', 'trainable': True, 'activation': 'relu'} +@ layers_1_Activation__config layers_1_Activation__config: {'name': 'activation_1', 'trainable': True, 'dtype': 'float32', 'activation': 'relu'} @ layers_1_Activation__config__activation layers_1_Activation__config__activation: 'relu' +@ layers_1_Activation__config__dtype layers_1_Activation__config__dtype: 'float32' * layers_1_Activation__config__name layers_1_Activation__config__name: 'activation_1' @ layers_1_Activation__config__trainable layers_1_Activation__config__trainable: True * layers_2_Dense__class_name layers_2_Dense__class_name: 'Dense' -@ layers_2_Dense__config layers_2_Dense__config: {'name': 'dense_2', 'trainable': True, 'units': 10, 'activation': 'linear', 'use_bias': True, 'kerne +@ layers_2_Dense__config layers_2_Dense__config: {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units': 10, 'activation': 'linear', 'use @ layers_2_Dense__config__activation layers_2_Dense__config__activation: 'linear' @ layers_2_Dense__config__activity_regularizer layers_2_Dense__config__activity_regularizer: None @ layers_2_Dense__config__bias_constraint layers_2_Dense__config__bias_constraint: None @@ -73,6 +73,7 @@ * layers_2_Dense__config__bias_initializer__class_name layers_2_Dense__config__bias_initializer__class_name: 'Zeros' @ layers_2_Dense__config__bias_initializer__config layers_2_Dense__config__bias_initializer__config: {} @ layers_2_Dense__config__bias_regularizer layers_2_Dense__config__bias_regularizer: None +@ layers_2_Dense__config__dtype layers_2_Dense__config__dtype: 'float32' @ layers_2_Dense__config__kernel_constraint layers_2_Dense__config__kernel_constraint: None @ layers_2_Dense__config__kernel_initializer layers_2_Dense__config__kernel_initializer: {'class_name': 'VarianceScaling', 'config': {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'unifo * layers_2_Dense__config__kernel_initializer__class_name layers_2_Dense__config__kernel_initializer__class_name: 'VarianceScaling' @@ -87,8 +88,9 @@ @ layers_2_Dense__config__units layers_2_Dense__config__units: 10 @ layers_2_Dense__config__use_bias layers_2_Dense__config__use_bias: True * layers_3_Activation__class_name layers_3_Activation__class_name: 'Activation' -@ layers_3_Activation__config layers_3_Activation__config: {'name': 'activation_2', 'trainable': True, 'activation': 'softmax'} +@ layers_3_Activation__config layers_3_Activation__config: {'name': 'activation_2', 'trainable': True, 'dtype': 'float32', 'activation': 'softmax'} @ layers_3_Activation__config__activation layers_3_Activation__config__activation: 'softmax' +@ layers_3_Activation__config__dtype layers_3_Activation__config__dtype: 'float32' * layers_3_Activation__config__name layers_3_Activation__config__name: 'activation_2' @ layers_3_Activation__config__trainable layers_3_Activation__config__trainable: True Note: @, params eligible for search in searchcv tool.