diff test-data/keras_batch_params01.tabular @ 5:62b85c8ad8fa draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author bgruening
date Mon, 16 Dec 2019 05:26:20 -0500
parents 000a3868885b
children 0a3f113397b2
line wrap: on
line diff
--- a/test-data/keras_batch_params01.tabular	Thu Nov 07 05:33:41 2019 -0500
+++ b/test-data/keras_batch_params01.tabular	Mon Dec 16 05:26:20 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.