import os
import time
import json
from models import MTMC
data_folder = '../../../data/'
if __name__ == "__main__":
if not os.path.exists('./results'):
os.makedirs('./results')
print("Train MTMC with current Biogeme optimization algorithm.")
model = MTMC(data_folder)
res = {'time': [], 'LL': [], 'epochs': []}
for i in range(20):
results = model.biogeme.estimate()
res['time'].append(model.biogeme.optimizationTime.total_seconds())
res['LL'].append(results.data.logLike)
res['epochs'].append(model.biogeme.numberOfIterations)
with open('results/biogeme_bfgs.json', 'w') as outfile:
json.dump(res, outfile)
# Delete pickle files
import json
from algos import OptAlg
from models import MTMC
data_folder = '../../../data/'
if __name__ == "__main__":
if not os.path.exists('./results'):
os.makedirs('./results')
print("Train MTMC with LS-ABS and hybrid-inv")
model = MTMC(data_folder)
ioa = OptAlg(alg_type='LS-ABS', direction='hybrid-inv')
res = {'time': [], 'LL': [], 'epochs': []}
for i in range(20):
tmp = model.optimize(
ioa, **{
'verbose': False,
'max_epochs': 1000,
'batch': 1000
})
res['time'].append(tmp['opti_time'])
import sys
sys.path.append("../..")
import os
from algos import OptAlg
from models import MTMC
data_folder = '../../../data/'
if __name__ == "__main__":
if not os.path.exists('./results'):
os.makedirs('./results')
print("Train MTMC_MNL with HAMABS")
model = MTMC(data_folder)
ioa = OptAlg(alg_type='LS-ABS', direction='hybrid-inv')
tmp = model.optimize(
ioa, **{
'verbose': True,
'nbr_epochs': 1000,
'batch': 1000
})