diff test-data/keras_params04.tabular @ 0:13226b2ddfb4 draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 756f8be9c3cd437e131e6410cd625c24fe078e8c"

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/keras_params04.tabular	Wed Jan 22 07:51:20 2020 -0500
@@ -0,0 +1,87 @@
+	Parameter	Value
+@	amsgrad	amsgrad: False
+@	batch_size	batch_size: 32
+@	beta_1	beta_1: 0.9
+@	beta_2	beta_2: 0.999
+@	callbacks	callbacks: [{'callback_selection': {'callback_type': 'None'}}]
+@	config	config: {'name': 'sequential_1', 'layers': [{'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable
+@	decay	decay: 0.0
+@	epochs	epochs: 100
+@	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, '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: 'mean_squared_error'
+@	lr	lr: 0.001
+@	metrics	metrics: ['mse']
+@	model_type	model_type: 'sequential'
+@	momentum	momentum: None
+@	nesterov	nesterov: None
+@	optimizer	optimizer: 'adam'
+@	rho	rho: None
+@	schedule_decay	schedule_decay: None
+@	seed	seed: 42
+@	steps_per_epoch	steps_per_epoch: None
+@	validation_data	validation_data: None
+@	validation_steps	validation_steps: None
+@	verbose	verbose: 0
+*	layers_0_Dense__class_name	layers_0_Dense__class_name: 'Dense'
+@	layers_0_Dense__config	layers_0_Dense__config: {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None, 17], 'dtype': 'float32', 'units':
+@	layers_0_Dense__config__activation	layers_0_Dense__config__activation: 'linear'
+@	layers_0_Dense__config__activity_regularizer	layers_0_Dense__config__activity_regularizer: None
+@	layers_0_Dense__config__batch_input_shape	layers_0_Dense__config__batch_input_shape: [None, 17]
+@	layers_0_Dense__config__bias_constraint	layers_0_Dense__config__bias_constraint: None
+@	layers_0_Dense__config__bias_initializer	layers_0_Dense__config__bias_initializer: {'class_name': 'Zeros', 'config': {}}
+*	layers_0_Dense__config__bias_initializer__class_name	layers_0_Dense__config__bias_initializer__class_name: 'Zeros'
+@	layers_0_Dense__config__bias_initializer__config	layers_0_Dense__config__bias_initializer__config: {}
+@	layers_0_Dense__config__bias_regularizer	layers_0_Dense__config__bias_regularizer: None
+@	layers_0_Dense__config__dtype	layers_0_Dense__config__dtype: 'float32'
+@	layers_0_Dense__config__kernel_constraint	layers_0_Dense__config__kernel_constraint: None
+@	layers_0_Dense__config__kernel_initializer	layers_0_Dense__config__kernel_initializer: {'class_name': 'VarianceScaling', 'config': {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'unifo
+*	layers_0_Dense__config__kernel_initializer__class_name	layers_0_Dense__config__kernel_initializer__class_name: 'VarianceScaling'
+@	layers_0_Dense__config__kernel_initializer__config	layers_0_Dense__config__kernel_initializer__config: {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'uniform', 'seed': None}
+@	layers_0_Dense__config__kernel_initializer__config__distribution	layers_0_Dense__config__kernel_initializer__config__distribution: 'uniform'
+@	layers_0_Dense__config__kernel_initializer__config__mode	layers_0_Dense__config__kernel_initializer__config__mode: 'fan_avg'
+@	layers_0_Dense__config__kernel_initializer__config__scale	layers_0_Dense__config__kernel_initializer__config__scale: 1.0
+@	layers_0_Dense__config__kernel_initializer__config__seed	layers_0_Dense__config__kernel_initializer__config__seed: None
+@	layers_0_Dense__config__kernel_regularizer	layers_0_Dense__config__kernel_regularizer: None
+*	layers_0_Dense__config__name	layers_0_Dense__config__name: 'dense_1'
+@	layers_0_Dense__config__trainable	layers_0_Dense__config__trainable: True
+@	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, 'dtype': 'float32', 'activation': 'linear'}
+@	layers_1_Activation__config__activation	layers_1_Activation__config__activation: 'linear'
+@	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, 'dtype': 'float32', 'units': 1, '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
+@	layers_2_Dense__config__bias_initializer	layers_2_Dense__config__bias_initializer: {'class_name': 'Zeros', 'config': {}}
+*	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'
+@	layers_2_Dense__config__kernel_initializer__config	layers_2_Dense__config__kernel_initializer__config: {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'uniform', 'seed': None}
+@	layers_2_Dense__config__kernel_initializer__config__distribution	layers_2_Dense__config__kernel_initializer__config__distribution: 'uniform'
+@	layers_2_Dense__config__kernel_initializer__config__mode	layers_2_Dense__config__kernel_initializer__config__mode: 'fan_avg'
+@	layers_2_Dense__config__kernel_initializer__config__scale	layers_2_Dense__config__kernel_initializer__config__scale: 1.0
+@	layers_2_Dense__config__kernel_initializer__config__seed	layers_2_Dense__config__kernel_initializer__config__seed: None
+@	layers_2_Dense__config__kernel_regularizer	layers_2_Dense__config__kernel_regularizer: None
+*	layers_2_Dense__config__name	layers_2_Dense__config__name: 'dense_2'
+@	layers_2_Dense__config__trainable	layers_2_Dense__config__trainable: True
+@	layers_2_Dense__config__units	layers_2_Dense__config__units: 1
+@	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, 'dtype': 'float32', 'activation': 'linear'}
+@	layers_3_Activation__config__activation	layers_3_Activation__config__activation: 'linear'
+@	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.