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
@	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
@	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_data	validation_data: None
@	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, 'activation': 'relu'}
@	layers_1_Activation__config__activation	layers_1_Activation__config__activation: 'relu'
*	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__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: 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__activation	layers_3_Activation__config__activation: 'softmax'
*	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.