Added comments to mllab2

2016-11-03 14:36:51 +00:00
parent 1bc2e6c72f
commit ebf81a4ac1
1 changed files with 4 additions and 1 deletions
@@ -10,10 +10,13 @@ X = [ones(size(X, 1), 1), X];

 %initialise theta
 theta = [0.0, 0.0, 0.0];
+% Learning rate
 alpha = 0.2;
+% Number of iterations for calculating theta values in gradient descent
 iterations = 100;

-%% 
+% Perform gradient descent on data to calculate the values for theta that make
+% the best hypothesis function.
 t = gradient_descent(X, y, theta, alpha, iterations, false)

 % Declare new pair of input features with which to calculate a predicted output