Python 2.7 Python Numpy:操作数无法与形状一起广播

我得到这个错误“操作数不能与形状一起广播”的代码

import numpy as np
from sklearn.datasets import load_boston
from sklearn.linear_model import LinearRegression
beantown = load_boston()
x=beantown.data
y=beantown.target
model = LinearRegression()
model = model.fit(x,y)

def mse(truth, predictions): 
    return ((truth - predictions) ** 2).mean(None)
print model.score(x,y)
print mse(x,y)

错误出现在print mse（x，y）行上

Error是ValueError：

operands could not be broadcast together with shapes (506,13) (506,)

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重塑

y

：

from sklearn.datasets import load_boston
from sklearn.linear_model import LinearRegression
beantown = load_boston()
x = beantown.data
y = beantown.target
y = y.reshape(y.size, 1)
model = LinearRegression()
model = model.fit(x, y)


def mse(truth, predictions):
    return ((truth - predictions) ** 2).mean(None)
print model.score(x, y)
print mse(x, y)

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太好了，它工作了！但是我正在尝试model.score和mse都应该返回相同的值，这是不可能的。是的，检查score的定义可能是个好主意。