3 回答

TA貢獻(xiàn)1111條經(jīng)驗(yàn) 獲得超0個(gè)贊
您可以使用numpy并列出理解:
import numpy as np
x=[17,13,12,15,16,14,16,16,18,19]
# using mean function from numpy
sum((y - np.mean(x))**2 for y in x) # 42.4
# calculating mean on our own (pure python)
sum((y - (sum(x)/float(len(x))))**2 for y in x) # 42.4
# function to calculate sse
def sse(x):
m = np.mean(x)
return sum((y - m)**2 for y in x)

TA貢獻(xiàn)1816條經(jīng)驗(yàn) 獲得超4個(gè)贊
您可以使用numpy和矢量化計(jì)算:
import numpy as np
x = np.array([17,13,12,15,16,14,16,16,18,19])
normalized_vector = x - np.mean(x)
result = np.dot(normalized_vector, normalized_vector)
...因?yàn)辄c(diǎn)積等于元素的平方和。更簡潔:
result = np.var(x) * x.size
...計(jì)算n倍方差,這應(yīng)該等于你想要的。

TA貢獻(xiàn)1810條經(jīng)驗(yàn) 獲得超4個(gè)贊
你的錯(cuò)誤在這里:
total=0
for i in result:
total +=i
這里的結(jié)果只是一個(gè)數(shù)字而不是一個(gè)列表。因此整個(gè)代碼都寫錯(cuò)了。
相反,您可以在函數(shù)的起始位置初始化 total 并擺脫 for 循環(huán)。
這是一個(gè)簡單的代碼:
x = [17,13,12,15,16,14,16,16,18,19]
average = sum (x) / float (len (x))
total = 0
for number in x:
result = pow ((number - average), 2)
total += result
print total
如果你想把它作為一個(gè)函數(shù):
x = [17,13,12,15,16,14,16,16,18,19]
def sumx(x):
average = sum (x) / float (len (x))
total = 0
for i in x:
result = i - average
result = result * result
total += result
return (total)
print sumx(x)
添加回答
舉報(bào)