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machine-learning-ex1/ex1/computeCost.m
2017-05-28 17:17:42 +09:00

24 lines
673 B
Matlab

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.
hx = X*theta;
J = sum((hx - y).^2)/(2*m);
% =========================================================================
end