Suppose that for some linear regression problem (say, predicting housing prices as in the lecture), we have some training set, and for our training set we managed to find some θ0, θ1 such that J(θ0,θ1)=0. Which of the statements below must then be true? (Check all that apply.)
For this to be true, we must have y(i)=0 for every value of i=1,2,…,m. 这个答案为什么对？ J(θ0,θ1)=0 和 y(i)=0 for every value of i=1,2,…,m 我怎么觉得一点都扯不上关系啊
@Ransford 是J(θ0,θ1)是loss function, 但是这个答案是对的。。。For this to be true, we must have y(i)=0 for every value of i=1,2,…,m. 注意we must have ， 我觉得本末倒置了，这个答案应该是错的才对啊，但是习题答案说这个答案是对的，我就搞不懂了。。。