def testing(filename, n, p):
scorelist = []
f = open("./components/org.taz.core/src/main/python/hmm/" + filename)
try:
reader = C.reader(f)
floats = []
for row in reader:
floats.append(map(int, row))
finally:
f.close()
test_data = np.array(floats)
#print test_data
testlist = LinkedList()
start = False
stop = False
count = 0
numb1 = 0
for data in test_data:
testlist.appendLast(data)
count = count + 1
if count == n:
start = True
if count == p:
stop = True
if start and not stop:
data_list = []
data_list = testlist.printList()
final_list = np.array(data_list)
#print final_list
value = model.score(np.array(data_list))
scorelist.append(value)
testlist.deleteHead()
numb1 = numb1 + 1
return scorelist
def testing(filename, n):
scorelist = []
f = open(filename)
try:
reader = C.reader(f)
floats = []
for row in reader:
floats.append(map(int, row))
finally:
f.close()
test_data = np.array(floats)
#print test_data
testlist = LinkedList()
start = False
count = 0
numb1 = 0
for data in test_data:
testlist.appendLast(data)
count = count + 1
if count == n:
start = True
if start:
data_list = []
data_list = testlist.printList()
final_list = np.array(data_list)
#print final_list
value = model.score(np.array(data_list))
scorelist.append(value)
testlist.deleteHead()
numb1 = numb1 + 1
return scorelist
def testingHMM(self, filename, n, p, model):
scorelist = []
normalizedScores = []
f = open(filename)
try:
reader = C.reader(f)
floats = []
for row in reader:
floats.append(map(int, row))
finally:
f.close()
test_data = np.array(floats)
#print test_data
testlist = LinkedList()
start = False
stop = False
count = 0
numb1 = 0
points = 0
for data in test_data:
testlist.appendLast(data)
count = count + 1
if count == n:
start = True
if count == p:
stop = True
if start and not stop:
data_list = []
data_list = testlist.printList()
final_list = np.array(data_list)
#print final_list
value = model.score(np.array(data_list))
# if numb1 > 0:
# lastval = scorelist[numb1-1]
# norval = (lastval-value)/float(lastval)
# normalizedScores.append(norval)
# if norval > 0:
# if points == 0:
# start = count
# points = points + 1
# if points > 30:
# end = count
# print "Start:" + str(start) + "End:" + str(end)
# points = 0
scorelist.append(value)
testlist.deleteHead()
numb1 = numb1 + 1
return scorelist
try:
reader = C.reader(f)
floats = []
for row in reader:
floats.append(map(int, row))
finally:
f.close()
test_data = np.array(floats)
#print test_data
testlist = LinkedList()
start = False
count = 0
numb = 0
for data in test_data:
testlist.appendLast(data)
count = count + 1
if count == 10:
start = True
if start:
data_list = []
data_list = testlist.printList()
final_list = np.array(data_list)
print final_list
value = model.score(np.array(data_list))
scorelist.append(value)
testlist.deleteHead()
numb = numb + 1
print count
print testlist.size()
#Anomaly
