This repository has been archived on 2021-05-17. You can view files and clone it, but cannot push or open issues or pull requests.
scientificComputing/regression/code/plot_error_surface.m

113 lines
2.1 KiB
Matlab

clear
close all
%% first, plot the raw data
load('lin_regression.mat');
figure()
plot(x,y, 'o')
xlabel('Input')
ylabel('Output')
%% plot the error surface
clear
load('lin_regression.mat')
ms = -5:0.25:5;
ns = -30:1:30;
error_surf = zeros(length(ms), length(ns));
for i = 1:length(ms)
for j = 1:length(ns)
error_surf(i,j) = lsq_error([ms(i), ns(j)], x, y);
end
end
% plot the error surface
figure()
[N,M] = meshgrid(ns, ms);
s = surface(M,N,error_surf);
xlabel('slope')
ylabel('intercept')
zlabel('error')
view(3)
% rotate(s, [1 1 0], 25 )
%% Plot the gradient at different points in the surface
clear
load('lin_regression.mat')
ms = -1:0.5:5;
ns = -10:1:10;
error_surf = zeros(length(ms), length(ns));
gradient_m = zeros(size(error_surf));
gradient_n = zeros(size(error_surf));
for i = 1:length(ms)
for j = 1:length(ns)
error_surf(i,j) = lsq_error([ms(i), ns(j)], x, y);
grad = lsq_gradient([ms(i), ns(j)], x, y);
gradient_m(i,j) = grad(1);
gradient_n(i,j) = grad(2);
end
end
figure()
hold on
[N, M] = meshgrid(ns, ms);
surface(M,N, error_surf, 'FaceAlpha', 0.5);
contour(M,N, error_surf, 50);
quiver(M,N, gradient_m, gradient_n)
view(3)
xlabel('slope')
ylabel('intercept')
zlabel('error')
%% do the gradient descent
clear
close all
load('lin_regression.mat')
ms = -1:0.5:5;
ns = -10:1:10;
position = [-2. 10.];
gradient = [];
error = [];
eps = 0.01;
% claculate error surface
error_surf = zeros(length(ms), length(ns));
for i = 1:length(ms)
for j = 1:length(ns)
error_surf(i,j) = lsq_error([ms(i), ns(j)], x, y);
end
end
figure()
hold on
[N, M] = meshgrid(ns, ms);
surface(M,N, error_surf, 'FaceAlpha', 0.5);
view(3)
xlabel('slope')
ylabel('intersection')
zlabel('error')
% do the descent
while isempty(gradient) || norm(gradient) > 0.1
gradient = lsq_gradient(position, x,y);
error = lsq_error(position, x, y);
plot3(position(1), position(2), error, 'o', 'color', 'red')
position = position - eps .* gradient;
pause(0.25)
end
disp('gradient descent done!')
disp(strcat('final position: ', num2str(position)))
disp(strcat('final error: ', num2str(error)))