print len(count_set)
dimensionality = len(count_set)
pois_axis2 = {}
axis_pois2 = {}
index = 0
for item in count_set:
pois_axis2[item] = index
axis_pois2[index] = item
index += 1
count_list2 = []
for item in count_list:
count_list2.append(pois_axis2[item[0]])
tensor = trans(count_list2, dimensionality)
alpha = 0.95
v = []
for i in range(0, dimensionality):
v.append(1/dimensionality)
x, hist, flag, ihist = POIRank(np.array(tensor), alpha, v).solve()
print "hist: ", hist
print "ihist: ", ihist
print "flag: ", flag
if flag == 1:
print "收敛，x: ", x
else:
print "无法收敛"
rank_result = rank_poi(x, axis_poi, axis_pois2)
sum = 0.0
print len(count_set)
dimensionality = len(count_set)
pois_axis2 = {}
axis_pois2 = {}
index = 0
for item in count_set:
pois_axis2[item] = index
axis_pois2[index] = item
index += 1
count_list2 = []
for item in count_list:
count_list2.append(pois_axis2[item[0]])
tensor = trans(count_list2, dimensionality)
alpha = 0.95
v = []
for i in range(0, dimensionality):
v.append(1 / dimensionality)
x, hist, flag, ihist = POIRank(np.array(tensor), alpha, v).solve()
print "hist: ", hist
print "ihist: ", ihist
print "flag: ", flag
if flag == 1:
print "收敛，x: ", x
else:
print "无法收敛"
rank_result = rank_poi(x, axis_poi, axis_pois2)
sum = 0.0
for item in data_set:
data_set_list.append(int(item))
pois_axis2 = {}
axis_pois2 = {}
index = 0
for item in data_set_list:
pois_axis2[item] = index
axis_pois2[index] = item
index += 1
dimen = len(data_set)
print "dimen: ", dimen
data_input = [pois_axis2[item] for item in data_list]
# print "data_input: ", data_input
tensor = trans(data_input, dimen)
alpha = 0.95
v = []
for i in range(0, dimen):
v.append(1 / dimen)
# print "v: ", v
x, hist, flag, ihist = POIRank(np.array(tensor), alpha,
v).solve()
print "key: ", key
res = rank(x, axis_pois2)
print "res: ", res
result[key] = res
print "result: ", result
res = merge_result(result, distribution, axis_poi)
total_poi_list = sorted(res, key=lambda x: x[2], reverse=True)
