Created
October 2, 2015 17:36
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function J = computeCost(X, y, theta) | |
%COMPUTECOST Compute cost for linear regression | |
% J = COMPUTECOST(X, y, theta) computes the cost of using theta as the | |
% parameter for linear regression to fit the data points in X and y | |
% Initialize some useful values | |
m = length(y); % number of training examples | |
% You need to return the following variables correctly | |
J = 0; | |
% ====================== YOUR CODE HERE ====================== | |
% Instructions: Compute the cost of a particular choice of theta | |
% You should set J to the cost. | |
h = X * theta; | |
error = h - y; | |
error_sqr = error.^2; | |
J = { 1 / ( 2 * m ) * ( sum ( error_sqr ) ) }; | |
fprintf('Finished the second exercise\n'); | |
% ========================================================================= | |
end |
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