package?SVM;

import?java.util.Vector;
import?java.io.*;



public?class?SVR?{
int?positivenum=0;//正樣例數(shù)
int?negativenum=0;//負樣例數(shù)
int?takenum=0;
float?positivedistance=（float）0.01;//正樣例回歸距離
float?negativedistance=3;//負樣例分類距離
float?c=100;
int?kerneltype=0;
float?step=1;
float?oldb=0;
float[]?svcrvalue;
float?eps=（float）0.001;
float?mindistance=10000;
Vector?alphmin?=?new?Vector（）;
float[]?pastvalue=new?float[3];
Vector?alph?=?new?Vector（）;
Vector?x=new?Vector（）;
Vector?y=new?Vector（）;
Vector?w=new?Vector（）;
float?b?=?0;?
int?d=528;//數(shù)據(jù)維數(shù)
double?tolerance=0.0001;
double[]?D=new?double[this.d];
public?static?void?main（String[]?arg）?throws?Exception
{
	SVR?svr=?new?SVR（）;
	//svr.run（）;
	svr.caculateprecision（）;
}
public?double[]?train（int?pnint?nnString?fil