def testandscore(word):
word_array = bayes.build_word_array(word)
asfaiajioaf = bayes.setOfWordsListToVecTor(vocabList, word_array)
aa, bb = ada_real.predict(asfaiajioaf)[0], ada_real.predict_proba(
asfaiajioaf)[0]
total = {}
total["type"] = int(aa) # 需要转化一下int跟int32是不同的，int32不能序列化
temp = []
ggg = {}
ccc = {}
ddd = {}
print(len(str(bb[0])))
print("end")
a = float('%.5f' % bb[0])
b = float('%.5f' % bb[1])
c = float('%.5f' % bb[2])
max_value = str(max([a, b, c]))
min_value = str(min([a, b, c]))
same = ''
for i in range(0, len(min_value)):
if max_value[i] == min_value[i]:
same = same + min_value[i]
else:
break
print(same)
kkkk = pow(10, (len(same) - 2))
a = (a - float(same)) * kkkk
b = (b - float(same)) * kkkk
c = (c - float(same)) * kkkk
a = float('%.5f' % a)
b = float('%.5f' % b)
c = float('%.5f' % c)
print(a, b, c)
ggg["key"] = "正向"
ggg["value"] = a
ccc["key"] = "负向"
ccc["value"] = b
ddd["key"] = "客观"
ddd["value"] = c
temp.append(ggg)
temp.append(ccc)
temp.append(ddd)
total["data"] = temp
return total
def testandscore(word):
word_array = bayes.build_word_array(word)
asfaiajioaf = bayes.setOfWordsListToVecTor(vocabList, word_array)
aa, bb = ada_real.predict(asfaiajioaf)[0], ada_real.predict_proba(
asfaiajioaf)[0]
total = {}
total["type"] = int(aa) # 需要转化一下int跟int32是不同的，int32不能序列化
temp = []
ggg = {}
ccc = {}
ddd = {}
ggg["key"] = "正向"
ggg["value"] = float('%.5f' % bb[0])
ccc["key"] = "负向"
ccc["value"] = float('%.5f' % bb[1])
ddd["key"] = "客观"
ddd["value"] = float('%.5f' % bb[2])
temp.append(ggg)
temp.append(ccc)
temp.append(ddd)
total["data"] = temp
return total
def test(word):
word_array = bayes.build_word_array(word)
asfaiajioaf = bayes.setOfWordsListToVecTor(vocabList, word_array)
return ada_real.predict(asfaiajioaf)[0]
