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Burgers_Experiment28ss_restore.py
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Burgers_Experiment28ss_restore.py
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import pickle
import copy
import glob, os
import math
import training
def BestErrorFile(folder_name):
filename_best = ''
best_error = 10**6
current_dir = os.getcwd()
os.chdir(folder_name)
for file in glob.glob("*.pkl"):
with open(file, 'rb') as f:
params = pickle.load(f)
if not math.isnan(params['minRegTest']):
if params['minRegTest'] < best_error:
filename_best = file
best_error = params['minRegTest']
os.chdir(current_dir)
return filename_best
folder_name = './Burgers_exp28ss/'
file_name = BestErrorFile(folder_name)
if file_name == '':
print('No files have finite error')
quit()
else:
pkl_file = folder_name + file_name
with open(pkl_file, 'rb') as f:
params = pickle.load(f)
print(params['minRegTest'])
params['restore'] = 1
params['auto_first'] = 0
params['max_time'] = 8*60*60
params['min_5min'] = 10**2
params['min_20min'] = 10**1
params['min_40min'] = 5
params['min_1hr'] = 3
params['min_2hr'] = 2
params['min_3hr'] = 2
params['min_4hr'] = 2
params['min_halfway'] = 2
params['model_restore_path'] = params['model_path']
print(params['model_path'])
training.main_exp(copy.deepcopy(params))