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lab/5/data science/r/6/mlclass-ex1/computeCost.m
2026-02-17 23:13:20 +03:00

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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.
% X: (m, 2)
% y: (m, 1)
% theta: (2, 1)
h = X * theta;
dif = h - y;
sqdif = dif .^ 2;
J = 1 / (2 * m) * sum(sqdif);
% =========================================================================
end