v_vals = [np.random.uniform(-1, 1, n) for _ in range(30)]
k_vals = [2]
r_vals = [50, 100, 150, 200]
seed_vals = [373276626, 554197088, 858138413]
gen_vals = [250]
exp_folder_name = 'exp1'
results_path = os.path.join('..', 'results')
if not os.path.isdir(results_path):
results_path= os.path.join('..', '..', 'results')
if not os.path.isdir(results_path):
results_path = os.path.join('..', '..', '..', 'results')
if not os.path.isdir(results_path):
results_path = os.path.join('..', '..', '..', '..', 'results')
exp1_path = os.path.join(results_path, exp_folder_name)
if not os.path.isdir(exp1_path):
os.makedirs(exp1_path)
output_file = os.path.join(exp1_path,'params.csv')
gen_params(n=n,
v_values=v_vals,
k_values=k_vals,
r_values=r_vals,
seed_values=seed_vals,
gen_values=gen_vals,
algorithm='CMAES',
kind='p',
output_file=output_file)
v_vals = [np.random.uniform(-1, 1, n) for _ in range(3)]
k_vals = [2]
r_vals = [50, 100]
seed_vals = [47039391]
gen_vals = [200]
exp_folder_name = 'exp8'
results_path = os.path.join('..', 'results')
if not os.path.isdir(results_path):
results_path = os.path.join('..', '..', 'results')
if not os.path.isdir(results_path):
results_path = os.path.join('..', '..', '..', 'results')
if not os.path.isdir(results_path):
results_path = os.path.join('..', '..', '..', '..', 'results')
exp1_path = os.path.join(results_path, exp_folder_name)
if not os.path.isdir(exp1_path):
os.makedirs(exp1_path)
output_file = os.path.join(exp1_path, 'params.csv')
gen_params(n=n,
v_values=v_vals,
k_values=k_vals,
r_values=r_vals,
seed_values=seed_vals,
gen_values=gen_vals,
algorithm='1+1',
kind='lambda',
output_file=output_file)