params_common_byte.txt

# NN params
epochs_num	40
train_patience    10
convergence_delta   1e-2
batch_size	256
normalize_features	true
shuffle_batches	false
batch_norm true
learning_rate	1.0E-3
decay_rate	0.99
decay_step	1
regularization_coef	1.0E-4
dropout_keep_prob	1.0
seed	42
train_percentage	0.8
architecture	fc(300)-fc(300)

# GA params
algorithm GENERATION_TABOO
algo_seed	{42,43,44,45,46,47,48,49,50,51}
population_size	10
mutation_prob	0.3
elitism	true
taboo_size	10
taboo_attempts	1000
worker_num	1
node_set	ALL
max_depth   7
default_max_value   255

# Stop conditions:
max_iterations	50
min_fitness	-255.000001

# GA operators
crx.swap_subtree	    1
crx.swap_nodes		    1
crx.swap_constants	    1
crx.mean_constants	    1
crx.return_random	    1
mut.insert_root		    1
mut.insert_terminal	    1
mut.random_constant_set	1
mut.random_constant_set.min	-1.0
mut.random_constant_set.delta	2.0
mut.replace_node	    1
mut.remove_unary	    1
mut.remove_root		    1
mut.swap_order		    1

# Dataset
train_path	SET_AUTOMATICALLY
test_path	SET_AUTOMATICALLY
experiment_name	gp_age