def expKM():
logging.basicConfig(level=logging.DEBUG, filename='./debug.log')
logging.info(time.strftime("%a, %d %b %Y %H:%M:%S", time.localtime()) + " START")
p = Params(1000)
p.select_dataset()
p.locs, p.users, p.locDict = readCheckins(p)
p.debug()
copy_locs = copy.deepcopy(p.locs)
copy_locDict = copy.deepcopy(p.locDict)
pool = Pool(processes=len(eps_list))
params = []
for M in M_list:
p.M = M
global_sen = sensitivity_add(p.C, float(p.C)/p.K)[2] * p.M
p.locs, p.users = cellStats(p, copy_locs, copy_locDict, global_sen)
E_actual = shannonEntropy(p.locs)
param = (p, global_sen, E_actual)
evalLimitKM(param)
# params.append((p, global_sen, E_actual))
# pool.map(evalLimitK, params)
# pool.join()
createGnuData(p, "evalLimitKM", M_list)
def expSensitivity():
logging.basicConfig(level=logging.DEBUG, filename='./debug.log')
logging.info(time.strftime("%a, %d %b %Y %H:%M:%S", time.localtime()) + " START")
p = Params(1000)
p.select_dataset()
p.locs, p.users, p.locDict = readCheckins(p)
evalActualSensitivity(p)
def expStats():
logging.basicConfig(level=logging.DEBUG, filename='./debug.log')
logging.info(time.strftime("%a, %d %b %Y %H:%M:%S", time.localtime()) + " START")
p = Params(1000)
p.select_dataset()
p.locs, p.users, p.locDict = readCheckins("dataset/gowalla_NY.txt")
c_locs, c_users = cellStats(p)
# for uid in c_users:
# print len(c_users.get(uid))
for lid in c_locs:
print len(c_locs.get(lid))
def expM():
logging.basicConfig(level=logging.DEBUG, filename='./debug.log')
logging.info(time.strftime("%a, %d %b %Y %H:%M:%S", time.localtime()) + " START")
p = Params(1000)
p.select_dataset()
p.locs, p.users, p.locDict = readCheckins(p)
E_actual = shannonEntropy(p.locs)
p.debug()
# pool = Pool(processes=len(eps_list))
# params = []
for M in M_list:
param = (p, M, E_actual)
evalLimitM(param)
# params.append((p, M, E_actual))
# pool.map(evalLimitM, params)
# pool.join()
createGnuData(p, "evalLimitM", M_list)
