def gain(info,decision_class,unique_info,unique_class):
gain=info[0]
info.append(decision_class)
del info[0],decision_class[0],unique_info[0],unique_class[0]
count=[]
count_yes_no=[]
temp=0
temp1=0
for i in range(len(unique_info)):
temp=0
temp1=0
for j in range(len(info)):
if(unique_info[i]==info[j]):
temp=temp+1
count.append(temp)
for i in range(len(unique_info)):
#print unique_info[i]
for k in range(len(unique_class)):
#print unique_class[k]
temp1=0
for l in range(len(info)-1):
#print info[l]
if(unique_info[i]==info[l]):
#print str(unique_info[i])+"=="+str(info[l])
if(unique_class[k]==info[14][l]):
#print unique_class[k]unique_info[i]
temp1=temp1+1
count_yes_no.append(temp1)
d=sum(count)
pointer=0
final=[]
for i in range(len(count)):
x=(count[i]/d)
y=(count_yes_no[pointer]/count[i])
z=(count_yes_no[pointer+1]/count[i])
if(y!=0):
l1=math.log(y,2)
else:
l1=0
if(z!=0):
l2=math.log(z,2)
else:
l2=0
f=x*(-y*l1-z*l2)
final.append(f)
#print x,y,z,f
pointer = int(pointer+len(count_yes_no)/len(count))
#print "\nInfo("+gain+") \n"+str(sum(final))
return sum(final),gain
#print gain,info, decision_class, unique_info ,count ,unique_class
#print info
#print count,count_yes_no,d
data=get_data()
info,unique_info,counts=get_info(data)
entropy=entropy(unique_info,counts)
for i in range(len(info)-1):
info_gain,gain=gain(info[i],info[len(info)-1],unique_info[i],unique_info[len(unique_info)-1])
print "Info("+gain+") ",info_gain
显示的错误是
熵
0.940285958671
信息(年龄)0.693536138896
Traceback (most recent call last):
File "G:\test.py", line 113, in <module>
info_gain,gain=gain(info[i],info[len(info)-1],unique_info[i],unique_info[len(unique_info)-1])
TypeError: 'str' object is not callable
>>>
答案 0 :(得分:2)
您正在使用gain
作为函数和变量的名称:
info_gain, gain = gain(...
^^^^ function
^^^^ variable
为他们指定不同的名称,例如将该功能重命名为compute_gain()
。