for nb_samples in nb_sampless:
for strategy in strategies:
for run in range(k):
if(strategy == 'neighbors'):
for training_neighborhood_size in training_neighborhood_sizes:
filename = problem + algo_name +"_PS-" + str(problem_size) + "_S-" + strategy + "_L-" + str(nb_samples) + "_TS-"+ str(training_neighborhood_size) + "_FS-" + filter_strat + "_R-"+ str(run) +".txt"
filenameR2 = "R2_" + filename
file_to_write = open(filename, 'a')
file_to_writeR2 = open(filenameR2, 'a')
filenameDIR = "DIR_" + filename
filenameSCORE = "SCORE_" + filename
v5.experimentWith(algo_name, problem, file_to_write ,problem_size, nb_samples, nb_iterations, training_neighborhood_size, strategy, filter_strat, param_print_every, file_to_writeR2, filenameDIR, filenameSCORE)
file_to_write.close()
file_to_writeR2.close()
print(filename, "done.")
else:
filename = problem + algo_name +"_PS-" + str(problem_size) + "_S-" + strategy + "_L-" + str(nb_samples) + "_TS--1" + "_FS-" + filter_strat + "_R-"+ str(run) +".txt"
filenameR2 = "R2_" + filename
filenameDIR = "DIR_" + filename
filenameSCORE = "SCORE_" + filename
file_to_write = open(filename, 'a')
file_to_writeR2 = open(filenameR2, 'a')
v5.experimentWith(algo_name, problem, file_to_write, problem_size, nb_samples, nb_iterations, -1, strategy, filter_strat, param_print_every, file_to_writeR2, filenameDIR, filenameSCORE)
file_to_write.close()
file_to_writeR2.close()
print(filename, "done.")
args = sys.argv
_, problem, algo_name, problem_size, strategy, nb_samples, filter_strat, run, nb_iterations, param_print_every, result_folder = args
random.seed(run)
if("freeeval" in algo_name):
filename = result_folder + "/" + problem + "_" + algo_name +"_PS-" + str(problem_size) + "_S-none" + "_L-" + str(nb_samples) + "_TS--1" + "_FS-" + filter_strat +"_R-"+ str(run) +".txt"
#filenameR2 = result_folder + "/" + "R2_" + problem + "_" + algo_name +"_PS-" + str(problem_size) + "_S-none" + "_L-" + str(nb_samples) + "_TS--1" + "_FS-" + filter_strat + "_R-"+ str(run) +".txt"
filenameR2 = "none"
filenameDIR = "none"
filenameSCORE = "none"
file_to_write = open(filename, 'a')
v5.experimentWith(algo_name, problem, file_to_write, int(problem_size), int(nb_samples), int(nb_iterations), -1, strategy, filter_strat, int(param_print_every), filenameR2, filenameDIR, filenameSCORE)
file_to_write.close()
else:
tmpp = problem + "_" + algo_name +"_PS-" + str(problem_size) + "_S-" + strategy + "_L-" + str(nb_samples) + "_TS--1" + "_FS-" + filter_strat +"_R-"+ str(run) +".txt"
filename = result_folder + "/" + tmpp
filenameR2 = result_folder + "/" + "R2_" + tmpp
filenameDIR = result_folder + "/" + "DIR_" + tmpp
filenameSCORE = result_folder + "/" + "SCORE_" + tmpp
file_to_write = open(filename, 'a')
file_to_writeR2 = open(filenameR2, 'a')
v5.experimentWith(algo_name, problem, file_to_write, int(problem_size), int(nb_samples), int(nb_iterations), -1, strategy, filter_strat, int(param_print_every), file_to_writeR2, filenameDIR, filenameSCORE)
file_to_write.close()
file_to_writeR2.close()
