import pickle
import LogisiticRegression as LR
import time
start_time = time.time()
ms = pickle.load(open("trainingms300.dat","rb"))
print("classification starts")
LR.LRclassify(ms,LR.TestFilepath,False)

e81caa903c55addc0c95901dbdd062c60ba3d0a3
<mask token>

<mask token>
print('classification starts')
LR.LRclassify(ms, LR.TestFilepath, False)

<mask token>
start_time = time.time()
ms = pickle.load(open('trainingms300.dat', 'rb'))
print('classification starts')
LR.LRclassify(ms, LR.TestFilepath, False)

import pickle
import LogisiticRegression as LR
import time
start_time = time.time()
ms = pickle.load(open('trainingms300.dat', 'rb'))
print('classification starts')
LR.LRclassify(ms, LR.TestFilepath, False)

import pickle
import LogisiticRegression as LR
import time
start_time = time.time()
ms = pickle.load(open("trainingms300.dat","rb"))
print("classification starts")
LR.LRclassify(ms,LR.TestFilepath,False)
