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. predictions = X*theta; sqrError = (predictions - y).^2; J = 1/(2*m)*sum(sqrError); % ========================================================================= end
吴恩达的机器学习编程作业 1.computeCost 计算线性回归的代价函数
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