forked from vkosuri/CourseraMachineLearning
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathcomputeCostMulti.m
More file actions
24 lines (16 loc) · 755 Bytes
/
computeCostMulti.m
File metadata and controls
24 lines (16 loc) · 755 Bytes
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
function J = computeCostMulti(X, y, theta)
%COMPUTECOSTMULTI Compute cost for linear regression with multiple variables
% J = COMPUTECOSTMULTI(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;
sqerrors = (predictions - y).^2;
J = 1/(2*m)* sum(sqerrors);
% =========================================================================
end