code stringlengths 3 6.57k |
|---|
os.path.join(base_output_path, "input_data") |
print('CMD: {}'.format(cmd_fold_validation) |
subprocess.call(cmd_fold_validation, shell=True) |
print('RC: {}'.format(rc) |
exit(1) |
print('# Read configuration for this instance...') |
int(round(n * l) |
os.path.join(DATA_FOLDER, "parameters", "{}.params.json".format(instance_name) |
open(parameters_path) |
json.load(json_data) |
print('[ERROR] Could not retrieve parameters. Use default parameters.') |
print(e) |
default_params.iteritems() |
print('# - Add {}={} as parameter because value not found'.format(key, v) |
print('# Configuration: {}'.format(parameters) |
print('# Start validation runs...') |
range(0, k) |
print('\n#########################') |
print('# - Run {}'.format(i) |
print('#########################') |
format(i) |
os.path.join("../experiments", base_output_path, "input_data", "{}_casebase.fold_{}.txt".format(instance_name, i) |
os.path.join("../experiments", base_output_path, "input_data", "{}_outcomes.fold_{}.txt".format(instance_name, i) |
os.path.join("../experiments", base_output_path, run_nb) |
os.path.join(DATA_FOLDER, "parameters", "{}.params.json".format(instance_name) |
open(parameters_path) |
json.load(json_data) |
print('[ERROR] Could not retrieve parameters. Use default parameters.') |
print(e) |
shutil.rmtree(fold_output_path) |
os.makedirs(fold_output_path) |
print('[ERROR] Could not create output path for {}'.format(run_nb) |
if(nested_CV) |
print('# Start Meta-optimization for Model Selection') |
print('# Preliminary run') |
os.path.join(fold_output_path, 'params_{}.init.json'.format(run_nb) |
open(fold_param_file, 'w') |
f.write(json.dumps(parameters, indent=4) |
print('# Initial configuration: {}'.format(parameters) |
os.path.join(fold_output_path, 'output_{}.init.txt'.format(run_nb) |
os.path.join(fold_output_path, 'log_{}.init.txt'.format(run_nb) |
int(parameters['online']) |
int(parameters['heuristic']) |
os.path.join(fold_output_path, 'output_{}.txt'.format(run_nb) |
os.path.join(fold_output_path, 'log_{}.txt'.format(run_nb) |
print('# CMD: {}'.format(cmd) |
subprocess.call(cmd, shell=True) |
Popen(['tail', '-n', '1', os.path.join(fold_output_path, 'output_{}.init.txt'.format(run_nb) |
p.communicate() |
float(output.split() |
print('# Preliminary run accuracy: {}'.format(prun_accuracy) |
format(METAOPTIMIZATION, fold_outcomes) |
print('# CMD: {}'.format(cmd) |
Popen(cmd.split() |
p.communicate() |
os.path.join(DATA_FOLDER, "parameters", "{}.optimized.params.json".format(instance_name) |
json.load(open(parameters_path) |
os.path.join(fold_output_path, 'params_{}.json'.format(run_nb) |
open(fold_param_file, 'w') |
f.write(json.dumps(parameters, indent=4) |
print('# Final configuration: {}'.format(parameters) |
os.path.join(fold_output_path, 'output_{}.txt'.format(run_nb) |
os.path.join(fold_output_path, 'log_{}.txt'.format(run_nb) |
print('# CMD: {}'.format(cmd) |
subprocess.call(cmd, shell=True) |
shutil.move("training.run_{}.log.csv".format(i) |
os.path.join(base_output_path, "run_{}".format(i) |
format(i) |
shutil.move("prediction.run_{}.log.csv".format(i) |
os.path.join(base_output_path, "run_{}".format(i) |
format(i) |
shutil.move("overlap.run_{}.log.csv".format(i) |
os.path.join(base_output_path, "run_{}".format(i) |
format(i) |
shutil.move("strength.run_{}.log.csv".format(i) |
os.path.join(base_output_path, "run_{}".format(i) |
format(i) |
Popen(['tail', '-n', '1', os.path.join(fold_output_path, 'output_{}.txt'.format(run_nb) |
p.communicate() |
float(output.split() |
print("# Accuracy: {}".format(run_accuracy) |
print('# Analyze the results...') |
format(os.path.join(fold_output_path, 'output_{}.txt'.format(run_nb) |
format('output_{}_confusion_matrix.gp'.format(run_nb) |
subprocess.call(cmd_confusion_matrix, shell=True) |
subprocess.call(cmd_cm_gp, shell=True) |
shutil.move('output_{}_confusion_matrix.gp'.format(run_nb) |
os.path.join(base_output_path, "run_{}".format(i) |
format(run_nb) |
shutil.move('output_{}_confusion_matrix.txt'.format(run_nb) |
os.path.join(base_output_path, "run_{}".format(i) |
format(run_nb) |
shutil.move('output_{}_confusion_matrix_0.png'.format(run_nb) |
os.path.join(base_output_path, "run_{}".format(i) |
format(run_nb) |
shutil.move('output_{}_confusion_matrix_1.png'.format(run_nb) |
os.path.join(base_output_path, "run_{}".format(i) |
format(run_nb) |
shutil.move('output_{}_confusion_matrix_2.png'.format(run_nb) |
os.path.join(base_output_path, "run_{}".format(i) |
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