jens
7b34529b24
git-svn-id: http://moon:8086/svn/matlab/trunk@91 801c6759-fa7c-4059-a304-17956f83a07c
25 lines
771 B
Matlab
25 lines
771 B
Matlab
function [f,g] = linear_regression(theta, X,y)
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%
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% Arguments:
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% theta - A vector containing the parameter values to optimize.
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% X - The examples stored in a matrix.
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% X(i,j) is the i'th coordinate of the j'th example.
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% y - The target value for each example. y(j) is the target for example j.
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%
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m=size(X,2);
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n=size(X,1);
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f=0;
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g=zeros(size(theta));
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%
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% TODO: Compute the linear regression objective by looping over the examples in X.
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% Store the objective function value in 'f'.
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%
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% TODO: Compute the gradient of the objective with respect to theta by looping over
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% the examples in X and adding up the gradient for each example. Store the
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% computed gradient in 'g'.
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%%% YOUR CODE HERE %%%
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