with open('./results/sensitive/sensitivity_fa.csv', 'wb') as csvfile:
for row in fa_sensitivity:
fa_data = csv.writer(csvfile, delimiter=',')
fa_data.writerow(row)
#########
# Sobol #
#########
# sample (Sobol)
os.chdir(os.path.join(pathway, 'SensAnal'))
import sampleSobol as ss
os.chdir(pathway)
for cz in climate:
so_data_set, so_problem, so_param_values = ss.sampleSobol(
so_num_sample, cz)
## record the data in the folder './results/sensitive'
## store the information of data_set
with open('./results/sensitive/so_data_set_' + str(cz) + '.csv',
'wb') as csvfile:
for row in so_data_set:
so_data = csv.writer(csvfile, delimiter=',')
so_data.writerow(row)
## store the information of param_values
with open('./results/sensitive/so_param_values_' + str(cz) + '.csv',
'wb') as csvfile:
for row in so_param_values:
so_data = csv.writer(csvfile, delimiter=',')
so_data.writerow(row)
with open('./results/sensitive/sensitivity_fa.csv', 'wb') as csvfile:
for row in fa_sensitivity:
fa_data = csv.writer(csvfile, delimiter=',')
fa_data.writerow(row)
#########
# Sobol #
#########
# sample (Sobol)
os.chdir(os.path.join(pathway,'SensAnal'))
import sampleSobol as ss
os.chdir(pathway)
for cz in climate:
so_data_set,so_problem,so_param_values = ss.sampleSobol(so_num_sample,cz)
## record the data in the folder './results/sensitive'
## store the information of data_set
with open('./results/sensitive/so_data_set_'+str(cz)+'.csv', 'wb') as csvfile:
for row in so_data_set:
so_data = csv.writer(csvfile, delimiter=',')
so_data.writerow(row)
## store the information of param_values
with open('./results/sensitive/so_param_values_'+str(cz)+'.csv', 'wb') as csvfile:
for row in so_param_values:
so_data = csv.writer(csvfile, delimiter=',')
so_data.writerow(row)
# run the model (Sobol)
## generate meta model