def individual_multi():
genes = [0, 0, 0, 0, 1, 0, 0, 1, 0, 3, 3]
bounds = [0, 0, 0, 0, 1, 1, 0, 2, 2, 3, 3]
funset = FunctionSet()
funset.add(np.add, 2)
params = Parameters(2, 2, 1, 3, funset)
return params.individual_class(genes, bounds, params)
def individual_sin():
genes = [0, 0, 1, 1, 0, 2, 0, 0, 3, 4]
bounds = [1, 1, 1, 1, 2, 2, 1, 3, 3, 4]
funset = FunctionSet()
funset.add(np.add, 2)
funset.add(np.sin, 1)
params = Parameters(2, 1, 1, 3, funset)
return params.individual_class(genes, bounds, params)
def test_simple_es_with_non_existing_mutation(function_set, input_data_1d):
X, y = input_data_1d
params = Parameters(1, 1, 1, 4, function_set)
random.seed(0)
try:
_ = simple_es(X, y, mean_squared_error, params, mutation='rofl')
assert False, "passed without expected exception"
except UnknownMutationException:
assert True, "mutation fired, good"
def test_simple_es_with_active_mutation(function_set, input_data_1d):
X, y = input_data_1d
params = Parameters(1, 1, 1, 4, function_set)
random.seed(0)
start = time()
result = simple_es(X, y, mean_squared_error, params, mutation='active')
print_result(result, start)
assert True, "passed without errors"
def test_simple_es_with_inf(advanced_function_set, input_data_1d):
X, y = input_data_1d
params = Parameters(1, 1, 1, 3, advanced_function_set)
random.seed(0)
start = time()
result = simple_es(X, y, mean_squared_error, params)
print_result(result, start)
assert True, "passed without errors"
def test_simple_es_with_log(function_set, input_data_1d):
X, y = input_data_1d
params = Parameters(1, 1, 1, 3, function_set)
log = []
random.seed(0)
start = time()
result = simple_es(X, y, mean_squared_error, params, log=log)
print_result(result, start)
assert len(log) > 0
assert True, "passed without errors"
def define_cgp_system(n_nodes, n_inputs, n_outputs, funset, max_back):
"""
define CCGP system
Return:
IndividualBuilder object
Parameters
bounds (tuple)
"""
params = Parameters(n_inputs,
n_outputs,
1,
n_nodes,
funset,
real_valued=False,
max_back=max_back)
ib = IndividualBuilder(params)
bounds = ib.create().bounds
return ib, params, bounds