def create_mf_rbf(_independent_variables_low, _independent_variables_high,
_dependent_variables_low, _dependent_variables_high):
mf_rbf_stress_list = []
for _i_point in range(len(_dependent_variables_low)):
mf_rbf_stress = MF_RBF()
mf_rbf_stress.fit(_independent_variables_low,
_dependent_variables_low[_i_point].reshape(-1, 1),
_independent_variables_high,
_dependent_variables_high[_i_point].reshape(-1, 1))
mf_rbf_stress_list.append(mf_rbf_stress)
return mf_rbf_stress_list
def create_mf_rbf(_independent_variables_low, _independent_variables_high,
_dependent_variables_low, _dependent_variables_high):
mf_rbf_stress_list = []
low_model_stress_w_list = []
stds = None
rbf_type = 'mq'
x_high = None
bf_sigma = None
omega_list = []
for _i_point in range(len(_dependent_variables_low)):
mf_rbf_stress = MF_RBF()
mf_rbf_stress.fit(
_independent_variables_low,
_dependent_variables_low[_i_point].reshape(-1, 1),
_independent_variables_high,
_dependent_variables_high[_i_point].reshape(-1, 1),
bf_type="G",
)
mf_rbf_stress_list.append(mf_rbf_stress)
low_model_stress_w_list.append(mf_rbf_stress.low_model.w.tolist())
if _i_point == 0:
stds = mf_rbf_stress.low_model.std
x_high = mf_rbf_stress.x_high.tolist()
bf_sigma = mf_rbf_stress.bf_sigma.tolist()
omega_list.append(mf_rbf_stress.omega.tolist())
dict_mf_rbf_model = {
"low_model_w": low_model_stress_w_list,
"stds": stds,
"x_train": train_low.flatten().tolist(),
"rbf_type": rbf_type,
"x_high": x_high,
"bf_sigma": bf_sigma,
"omega": omega_list,
}
# json_rbf_model = json.dumps(dict_mf_rbf_model)
# with open("C:/Users/asus/Desktop/multi_fidelity_truss_stress_mf_rbf.json", "w") as f:
# json.dump(json_rbf_model, f)
return mf_rbf_stress_list
def create_mf_rbf(_independent_variables_low, _independent_variables_high,
_dependent_variables_low, _dependent_variables_high,
deformation_or_stress):
mf_rbf_list = []
low_model_w_list = []
stds = None
rbf_type = 'mq'
x_high = None
bf_sigma = None
omega_list = []
for _i_point in range(len(_dependent_variables_low)):
mf_rbf = MF_RBF()
mf_rbf.fit(_independent_variables_low,
_dependent_variables_low[_i_point].reshape(-1, 1),
_independent_variables_high,
_dependent_variables_high[_i_point].reshape(-1, 1))
mf_rbf_list.append(mf_rbf)
low_model_w_list.append(mf_rbf.low_model.w.tolist())
if _i_point == 0:
stds = mf_rbf.low_model.std
x_high = mf_rbf.x_high.tolist()
bf_sigma = mf_rbf.bf_sigma.tolist()
omega_list.append(mf_rbf.omega.tolist())
dict_mf_rbf_model = {
"low_model_w_" + deformation_or_stress: low_model_w_list,
"stds": stds,
"x_train": train_low.flatten().tolist(),
"rbf_type_" + deformation_or_stress: rbf_type,
"x_high": x_high,
"bf_sigma": bf_sigma,
"omega_" + deformation_or_stress: omega_list,
}
return dict_mf_rbf_model