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parachvte/costFunctionReg.m

Last active August 25, 2017 06:52
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Logistic Regression Cost Function (Regularized)
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costFunctionReg.m
function [J, grad] = costFunctionReg(theta, X, y, lambda)
m = length(y); % number of training examples
h = sigmoid(X * theta);
J = mean(-y .* log(h) - (1 - y) .* log(1 - h)) ...
+ lambda / 2.0 / m * (sum(theta .^ 2) - theta(1) ^ 2);
grad = X' * (h - y) / m + lambda / m * theta;
grad(1) -= lambda / m * theta(1);
end
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