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view test-data/keras_batch_params01.tabular @ 41:d769d83ec796 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
author | bgruening |
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date | Wed, 09 Aug 2023 13:14:12 +0000 |
parents | eeaf989f1024 |
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Parameter Value @ amsgrad amsgrad: None @ batch_size batch_size: 32 @ beta_1 beta_1: None @ beta_2 beta_2: None @ 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)" @ 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: 'binary_crossentropy' @ lr lr: 0.01 @ metrics metrics: ['acc'] @ model_type model_type: 'sequential' @ momentum momentum: 0.0 * n_jobs n_jobs: 1 @ nesterov nesterov: False @ optimizer optimizer: 'sgd' @ prediction_steps prediction_steps: None @ rho rho: None @ schedule_decay schedule_decay: None @ seed seed: None @ steps_per_epoch steps_per_epoch: None @ validation_fraction validation_fraction: 0.1 @ validation_steps validation_steps: None @ verbose verbose: 0 * data_batch_generator__fasta_path data_batch_generator__fasta_path: 'to_be_determined' @ data_batch_generator__seed data_batch_generator__seed: 999 @ data_batch_generator__seq_length data_batch_generator__seq_length: 1000 @ data_batch_generator__shuffle data_batch_generator__shuffle: True * 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, 784], '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, 784] @ 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': '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, '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 @ 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: 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, '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.