Coursera上斯坦福大学的机器学习编程作业——Andrew Ng
Coursera上斯坦福大学的机器学习编程作业
In the loop of fmincg, u can use the matrix all_theta's every column to receive a theta vector.
[all_theta(i, :)] = fmincg (@(t)(lrCostFunction(t, X, classes(: ,i), lambda)), ... initial_theta, options);
Then u don't need to transpose the matrix as result.
下面这一行中 @(t)(lrCostFunction 我无法理解
[all_theta(c,:)] = fmincg (@(t)(lrCostFunction(t, X, (y == c), lambda)), initial_theta, options);
能给个详细的解释吗？
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