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Compute the gradient for regularized logistic regression

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neingeist 2014-10-15 19:54:07 +02:00
parent f391ac661e
commit 9e9b9990bb
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ex2/costFunctionReg.m
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@ -20,6 +20,10 @@ grad = zeros(size(theta));
J = 1/m * (-y'*log(sigmoid(X*theta)) - (1-y)'*log(1-sigmoid(X*theta))) ... J = 1/m * (-y'*log(sigmoid(X*theta)) - (1-y)'*log(1-sigmoid(X*theta))) ...
+ lambda/(2*m) * theta(2:end)' * theta(2:end); + lambda/(2*m) * theta(2:end)' * theta(2:end);
regularization_term = ...
lambda/m * (theta .* prepad(ones(length(theta)-1, 1), length(theta), 0));
grad = 1/m * X' * (sigmoid(X*theta) - y) + regularization_term;
% ============================================================= % =============================================================
end end