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learningCurve.m
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learningCurve.m
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function [error_train, error_val] = ...
learningCurve(X, y, Xval, yval, lambda)
% Number of training examples
m = size(X, 1);
% You need to return these values correctly
error_train = zeros(m, 1);
error_val = zeros(m, 1);
rand_count = 50;
for i = 1:m
for j = 1:rand_count
% randomly choose i examples
sel = randperm(m);
sel = sel(1:i); % 3 5 10 4 ... (i rows in total)
X_cur = X(sel, :);
y_cur = y(sel);
% traning
theta = trainLinearReg(X_cur, y_cur, lambda);
% error
error_train(i) += linearRegCostFunction(X_cur, y_cur, theta, 0);
error_val(i) += linearRegCostFunction(Xval, yval, theta, 0);
end
error_train(i) /= rand_count;
error_val(i) /= rand_count;
end
% -------------------------------------------------------------
% =========================================================================
end