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Update cofiCostFunc.m #2

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5 changes: 3 additions & 2 deletions cofiCostFunc.m
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@

function [J, grad] = cofiCostFunc(params, Y, R, num_users, num_movies, ...
num_features, lambda)
%COFICOSTFUNC Collaborative filtering cost function
Expand All @@ -20,7 +21,7 @@
% ====================== YOUR CODE HERE ======================
% Instructions: Compute the cost function and gradient for collaborative
% filtering. Concretely, you should first implement the cost
% function (without regularization) and make sure it is
% function (without regularization) and then make sure it is
% matches our costs. After that, you should implement the
% gradient and use the checkCostFunction routine to check
% that the gradient is correct. Finally, you should implement
Expand All @@ -46,7 +47,7 @@
X_grad = (Error.*R)*Theta; % Nm x n
Theta_grad = (Error.*R)'*X; % Nu x n

%% %%%%% WORKING: With Regularization
%%%%% WORKING: With Regularization
Reg_term_theta = (lambda/2)*sum(sum(Theta.^2));
Reg_term_x = (lambda/2)*sum(sum(X.^2));

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