-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathSimpleLinearRegression.java
55 lines (51 loc) · 1.43 KB
/
SimpleLinearRegression.java
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
public class SimpleLinearRegression {
double[] x;
double[]y; //Simple Linear Regression and because of these only use 1 variable each time.
private boolean isfit;
private double a;
private double b;
public SimpleLinearRegression(double[] x, double[] y) {
this.x = x;
this.y = y;
}
public boolean fit() {
isfit=true;
double xsquare=squaresum(x);
double ysum=sum(y);
double xsum=sum(x);
double sumxy=summultiple(x,y);
double n=x.length;
a=((ysum*xsquare)-(xsum*sumxy))/(n*xsquare-xsum*xsum);
b=(n*sumxy-xsum*ysum)/(n*xsquare-xsum*xsum);
//System.out.println("a: "+a);
//System.out.println("b: "+b);
return true;
}
public int pred(double x) throws IllegalAccessException {
if(!isfit)throw new IllegalAccessException("Can't Fit with data");
double y=a*x+b;
long yint=Math.round(y);
return (int)yint;
}
private double squaresum(double[]i){
double isquare=0;
for(double one:i){
isquare+=one*one;
}
return isquare;
}
private double sum(double[]i){
double sum=0;
for(double one:i){
sum+=one;
}
return sum;
}
private double summultiple(double[]a,double[]b){
double sum=0;
for(int i=0;i<a.length;i++){
sum+=(a[i]*b[i]);
}
return sum;
}
}