Linear regressing using the normal equation
This commit is contained in:
parent
ad9ab582de
commit
ba377e29ba
1 changed files with 3 additions and 8 deletions
|
@ -1,6 +1,6 @@
|
|||
function [theta] = normalEqn(X, y)
|
||||
%NORMALEQN Computes the closed-form solution to linear regression
|
||||
% NORMALEQN(X,y) computes the closed-form solution to linear
|
||||
%NORMALEQN Computes the closed-form solution to linear regression
|
||||
% NORMALEQN(X,y) computes the closed-form solution to linear
|
||||
% regression using the normal equations.
|
||||
|
||||
theta = zeros(size(X, 2), 1);
|
||||
|
@ -10,12 +10,7 @@ theta = zeros(size(X, 2), 1);
|
|||
% to linear regression and put the result in theta.
|
||||
%
|
||||
|
||||
% ---------------------- Sample Solution ----------------------
|
||||
|
||||
|
||||
|
||||
|
||||
% -------------------------------------------------------------
|
||||
theta = pinv(X' * X) * X' * y;
|
||||
|
||||
|
||||
% ============================================================
|
||||
|
|
Reference in a new issue