neingeist
/
coursera-ml-007-exercises
Archived
1
0
Fork 0
Code Releases Activity

Compute Cost (for one variable)

Browse Source
master
neingeist 10 years ago
parent bc0eb3519f
commit 14c85aa85c
1 changed files with 5 additions and 3 deletions
Show Stats Download Patch File Download Diff File

8
ex1/computeCost.m
Unescape Escape View File

@ -6,16 +6,18 @@ function J = computeCost(X, y, theta)
% Initialize some useful values % Initialize some useful values
m = length(y); % number of training examples m = length(y); % number of training examples
% You need to return the following variables correctly % You need to return the following variables correctly
J = 0; J = 0;
% ====================== YOUR CODE HERE ====================== % ====================== YOUR CODE HERE ======================
% Instructions: Compute the cost of a particular choice of theta % Instructions: Compute the cost of a particular choice of theta
% You should set J to the cost. % You should set J to the cost.
predictions = X * theta;
errors = predictions - y;
squared_errors = errors .^ 2;
J = 1/(2*m) * sum(squared_errors);
% ========================================================================= % =========================================================================