Machine Learning Models and Algorithms for Big Data Classification by Shan Suthaharan

Author:Shan Suthaharan
Language: eng
Format: epub
Publisher: Springer US, Boston, MA

Listing 7.1 A Matlab example—standard regression

1 clear all;

2 close all;

3

4 %%% 1D Data Domain

5 x=[2 3 1 2 2.5];

6 y=[2 3 6 6.5 9.5];

7

8 A=y*x’*inv(x*x’);

9

10 xt=[0 4];

11 yt=A*xt;

12

13 figure;plot(x,y,’.’);axis([0 4 0 12]);grid on;

14 hold on;line(xt,yt);xlabel(’Feature␣1’);ylabel(’Feature␣2’);

15

16 %%% 2D Data Domain

17 x1=[2 3 1 2 2.5];

18 x2=[2 3 2.1 2 2.5];

19 yy=[2 3 6 6.5 9.5];

20

21 xx=[x1; x2];

22 AA=yy*xx’*inv(xx*xx’);

23

24 xx1=[0 0 4 4];

25 xx2=[0 4 0 4];

26 xxx=[xx1; xx2];

27

28 yy1=AA*xxx;

29 yy2=reshape(yy1,2,2);

30 [mg1,mg2]=meshgrid(0:4:4);

31

32 figure;plot3(x1,x2,yy,’r.’);grid on;axis([0 4 0 4 0 12]);

33 hold on;surf(mg1,mg2,yy2);view([259 44]);

34 xlabel(’Feature␣1’);ylabel(’Feature␣2’);zlabel(’Responses’);

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