Mercurial > repos > bgruening > sklearn_svm_classifier
view test-data/keras_params04.tabular @ 14:da0a22cdcce7 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit d6333e7294e67be5968a41f404b66699cad4ae53"
author | bgruening |
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date | Thu, 07 Nov 2019 05:31:04 -0500 |
parents | 153f237ddb36 |
children | 2df8f5c30edc |
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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 @ 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': 'li @ layers_2_Dense layers_2_Dense: {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'units': 1, 'activation': ' @ layers_3_Activation layers_3_Activation: {'class_name': 'Activation', 'config': {'name': 'activation_2', 'trainable': True, 'activation': 'li @ 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, 'activation': 'linear'} @ layers_1_Activation__config__activation layers_1_Activation__config__activation: 'linear' * 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': 1, 'activation': 'linear', 'use_bias': True, 'kernel @ 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__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, 'activation': 'linear'} @ layers_3_Activation__config__activation layers_3_Activation__config__activation: 'linear' * 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.