def on_start_simple_clicked(_):
# "linking function with output"
res_out.value = ''
with out:
# what happens when we press the button
clear_output()
settings = {
'file': txt_eventlog.value,
'epsilon': sl_epsilon.value,
'eta': sl_eta.value,
'alg_manag': sl_alg_manag.value,
'repetitions': sl_rep.value,
'simulation': True
}
change_enablement(box_simple, True)
results = sim.single_exec(settings)
df = pd.DataFrame.from_records(results)
df = df[df.status == 'ok']
similarity = lambda x: 1 - x['loss']
df['similarity'] = df.apply(similarity, axis=1)
df = df[['alg_manag', 'epsilon', 'eta',
'similarity']].sort_values(by=['similarity'], ascending=False)
res_out.value = df.to_html(classes="table table-borderless table-sm",
float_format='%.3f',
border=0,
index=False)
# Reactivate controls
change_enablement(box_simple, False)
def main(argv):
settings = dict()
args = dict()
# Exec mode 'single', 'optimizer'
settings['exec_mode'] = 'single'
# Parameters setting manual fixed or catched by console for batch operations
if not argv:
# Event-log filename
settings['file'] = 'Production.xes.gz'
settings['repetitions'] = 1
settings['simulation'] = True
if settings['exec_mode'] == 'single':
# Splittminer settings [0..1]
settings['epsilon'] = 0.7
settings['eta'] = 0.7
# 'removal', 'replacement', 'repairment'
settings['alg_manag'] = 'removal'
# Single Execution
sim.single_exec(settings)
else:
args['epsilon'] = [0.3, 0.7]
args['eta'] = [0.3, 0.7]
args['max_eval'] = 2
settings['temp_file'] = sup.folder_id()
# Execute optimizer
if not os.path.exists(os.path.join('outputs', settings['temp_file'])):
open(os.path.join('outputs', settings['temp_file']), 'w').close()
sim.hyper_execution(settings, args)
else:
# Catch parameters by console
try:
opts, _ = getopt.getopt(argv, "hf:e:n:m:r:",
['eventlog=', "epsilon=", "eta=", "alg_manag=", "repetitions="])
for opt, arg in opts:
key = catch_parameter(opt)
if key in ['epsilon','eta']:
settings[key] = float(arg)
elif key == 'repetitions':
settings[key] = int(arg)
else:
settings[key] = arg
except getopt.GetoptError:
print('Invalid option')
sys.exit(2)
settings['simulation'] = True
sim.single_exec(settings)
def main(argv):
settings = dict()
args = dict()
settings = define_general_settings(settings)
# Exec mode 'single', 'optimizer'
settings['exec_mode'] = 'optimizer'
# Similarity metric 'tsd', 'dl_mae', 'tsd_min', 'mae'
settings['sim_metric'] = 'tsd_min'
# Parameters settled manually or catched by console for batch operations
if not argv:
# Event-log filename
settings['file'] = 'Production.xes'
settings['repetitions'] = 2
settings['simulation'] = True
if settings['exec_mode'] == 'single':
# gateways probabilities 'discovery', 'random', 'equiprobable'
settings['gate_management'] = 'equiprobable'
# Similarity btw the resources profile execution (Song e.t. all)
settings['rp_similarity'] = 0.5
# Splitminer settings [0..1] default epsilon = 0.1, eta = 0.4
settings['epsilon'] = 0.1
settings['eta'] = 0.4
# 'removal', 'replacement', 'repair'
settings['alg_manag'] = 'removal'
# Processing time definition method:
# 'manual', 'automatic', 'semi-automatic'
settings['pdef_method'] = 'automatic'
# temporal file for results
settings['temp_file'] = sup.file_id(prefix='SE_')
# Single Execution
simod = sim.Simod(settings)
simod.execute_pipeline(settings['exec_mode'])
elif settings['exec_mode'] == 'optimizer':
args['epsilon'] = [0.0, 1.0]
args['eta'] = [0.0, 1.0]
args['max_eval'] = 3
# Similarity btw the resources profile execution (Song e.t. all)
args['rp_similarity'] = [0.5, 0.9]
args['gate_management'] = ['discovery', 'random', 'equiprobable']
settings['temp_file'] = sup.file_id(prefix='OP_')
settings['pdef_method'] = 'automatic'
# Execute optimizer
if not os.path.exists(
os.path.join('outputs', settings['temp_file'])):
open(os.path.join('outputs', settings['temp_file']),
'w').close()
# sim.hyper_execution(settings, args)
optimizer = sim.DiscoveryOptimizer(settings, args)
optimizer.execute_trials()
else:
# Catch parameters by console
try:
opts, _ = getopt.getopt(argv, "hf:e:n:m:r:", [
'eventlog=', "epsilon=", "eta=", "alg_manag=", "repetitions="
])
for opt, arg in opts:
key = catch_parameter(opt)
if key in ['epsilon', 'eta']:
settings[key] = float(arg)
elif key == 'repetitions':
settings[key] = int(arg)
else:
settings[key] = arg
except getopt.GetoptError:
print('Invalid option')
sys.exit(2)
settings['simulation'] = True
sim.single_exec(settings)