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prakhar1989/asd.m

Created September 17, 2012 10:48
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regularization
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asd.m
function [J, grad] = costFunctionReg(theta, X, y, lambda)
m = length(y); % number of training examples
J = 0;
grad = zeros(size(theta));
[J, grad] = costFunction(theta, X,y);
reg = ( (sum(theta.^2) - theta(1,1)^2) * (lambda/(2*m)) )
J = J + reg;
for iter = 1:size(grad),
if (iter) > 1,
grad(iter) = grad(iter) + theta(iter, 1) * lambda / m;
end
end
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