def run():
fn = Name_functions.full_GRAEC_table()
# Clear Test Scores file
with open(fn, 'w+') as wf:
wf.write('Beta;Tau;P;S;Score_type;Score_Value\n')
for S in Parameters.S_values:
Filefunctions.make_directory(Name_functions.S_score_folder(S))
print('S = {}'.format(S))
parse_graec(S)
parse_previous(S)
parse_naive(S)
# in the process when the prediction takes place, and the subset period length S
def print_state(s):
print('-' * 25)
print(s)
print('-' * 25)
if Parameters.Demo:
print('Running Demo')
print_state('Building Dataset')
# Remove old folder
Filefunctions.delete(Parameters.root_location)
# Create new folder
Filefunctions.make_directory(Parameters.root_location)
DEMO_CREATE_EVENTLOG.run()
else:
print('Running Real Dataset')
print_state('Splitting and labeling event log')
STEP0_Split_And_Label.run()
# Reduce the size of the data set if needed
print_state('Reducing Data Size')
STEP1_Reducing_Class_Sizes.run()
# Train all models
print_state('Training')
STEP2_Model_Training.run()
def S_GRAEC_enumeration_folder(S):
fd = S_folder(S) + '/BEPT_Enumeration'
Filefunctions.make_directory(fd)
return fd