Logic regression (LR) algorithm Java implementation of <转> __ algorithm

Follow the machine to learn the actual Python code, with the Java rewrite LR gradient rise algorithm:

Package com.log;

Import Java.io.BufferedReader;
Import Java.io.FileInputStream;
Import Java.io.InputStreamReader;
Import Java.io.File;
Import java.util.ArrayList;
Import Java.util.Iterator;
Import Jama.matrix;

public class Logprocess {
/**
* Get Feature data
*/
Public Matrix Getdatamat () {
try {
arraylist<double[]> list = new arraylist<double[]> ();
String pathname = "C:\\testset.txt";
File filename = new file (pathname);

InputStreamReader reader = new InputStreamReader (
New FileInputStream (filename));
BufferedReader br = new BufferedReader (reader);

String line = "";
line = Br.readline ();

while (line!= null) {
String [] Tmp=line.split ("T");
Double [] value=new double[3];
value[0]=1.0;
Value[1]=double.parsedouble (Tmp[0]);
Value[2]=double.parsedouble (tmp[1]);
List.add (value);

line = Br.readline (); Read one row of data at a time
}


Feature into a two-dimensional array
iterator<double[]> datalit = List.iterator ();
Double [] data = new Double[list.size ()][3];
int i=0;
while (Datalit.hasnext ()) {
Double [] tmp = Datalit.next ();
DATA[I][0]=TMP[0];
DATA[I][1]=TMP[1];
DATA[I][2]=TMP[2];
i++;
}

Matrix Datamatrix = new matrix (data);

return Datamatrix;
catch (Exception e) {
E.printstacktrace ();
return null;
}
}

/**
* Get Tag data
*/
Public Matrix Getlabelmat () {
try {
arraylist<int[]> list = new arraylist<int[]> ();
String pathname = "C:\\testset.txt";
File filename = new file (pathname);

InputStreamReader reader = new InputStreamReader (
New FileInputStream (filename));
BufferedReader br = new BufferedReader (reader);

String line = "";
line = Br.readline ();

while (line!= null) {
String [] Tmp=line.split ("T");
int [] value=new int[1];
Value[0]=integer.parseint (tmp[2]);
List.add (value);

line = Br.readline (); Read one row of data at a time
}

Convert a label to a two-dimensional array
iterator<int[]> labelit = List.iterator ();
Double [] label = new Double[list.size ()][1];
int j=0;
while (Labelit.hasnext ()) {
Label[j][0]=labelit.next () [0];
j + +;
}

Matrix Labelmatrix = new matrix (label);

return Labelmatrix;
catch (Exception e) {