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[ML] Gradient Descend Algorithm [Octave code]

时间:2017-03-09 00:18:42      阅读:126      评论:0      收藏:0      [点我收藏+]

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function [theta, J_history] = gradientDescentMulti(X, y, theta, alpha, num_iters)
m = length(y); % number of training examples
J_history = zeros(num_iters, 1);

for iter = 1:num_iters
    theta = theta - alpha * X‘ * (X * theta - y) / m;
    iter = iter +1;
   J_history(iter) = computeCostMulti(X, y, theta);

end

end

  

 

[ML] Gradient Descend Algorithm [Octave code]

标签:highlight   nbsp   class   amp   log   tor   length   example   examples   

原文地址:http://www.cnblogs.com/KennyRom/p/6523378.html

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