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Added comments to mllab2

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Sam Perry
2016-11-03 14:36:51 +00:00
parent 1bc2e6c72f
commit ebf81a4ac1
1 changed files with 4 additions and 1 deletions
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mllab2.m
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@@ -10,10 +10,13 @@ X = [ones(size(X, 1), 1), X];
%initialise theta %initialise theta
theta = [0.0, 0.0, 0.0]; theta = [0.0, 0.0, 0.0];
% Learning rate
alpha = 0.2; alpha = 0.2;
% Number of iterations for calculating theta values in gradient descent
iterations = 100; 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) t = gradient_descent(X, y, theta, alpha, iterations, false)
% Declare new pair of input features with which to calculate a predicted output % Declare new pair of input features with which to calculate a predicted output