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package experiments;
import java.io.*;
import java.text.DateFormat;
import java.text.SimpleDateFormat;
import java.util.*;
import weka.filters.Filter;
import model.Model;
import org.apache.log4j.Logger;
import weka.core.Instances;
import weka.core.OptionHandler;
/**
* Created by hailiu on 2016/2/22.
*/
public class RunPredictionServer {
protected Logger logger = Logger.getLogger(RunPredictionServer.class);
final String configFile = "data/config.txt";//input file path
String[] option = new String[50];
String filter;
ArrayList filterList;
String DataFile;
protected static DateFormat dateFormat = new SimpleDateFormat("yyyyMMdd_HHmmss");
protected static Date date = new Date();
protected static String resultFilename = dateFormat.format(date)+"_results";
Map map;
public RunPredictionServer() {
this.filterList = new ArrayList();
setClassName();
}
public static void main(String[] args)
{
RunPredictionServer runServer = new RunPredictionServer();
//read config file
runServer.loadConfigFile();
Model tempModel = new Model();
tempModel.loadTrainingData(runServer.DataFile);
tempModel.addPredictor("ZEROR");
tempModel.addPredictor("PART");
tempModel.addPredictor("ONER");
tempModel.addPredictor("JRIP");
tempModel.addPredictor("IBK");
tempModel.addPredictor("NBM");
tempModel.addPredictor("RF");
tempModel.addPredictor("LWL");
tempModel.addPredictor("NBC");
tempModel.addPredictor("BN");
tempModel.addPredictor("REPTREE");
tempModel.addPredictor("DT");
tempModel.addPredictor("J48");
tempModel.addPredictor("SMO");
tempModel.addPredictor("MP");
tempModel.addPredictor("SL");
tempModel.addPredictor("LOG");
tempModel.addPredictor("SGD");
tempModel.addPredictor("VP");
tempModel.addPredictor("SVM");
tempModel.addPredictor("KSTAR");
Instances tempInstances=tempModel.getTrainingInstances();
Iterator ite=runServer.filterList.iterator();
while (ite.hasNext())
{
ArrayList filterOption=(ArrayList) ite.next();
Iterator tempIte = filterOption.iterator();
String tFilter=null;
if (tempIte.hasNext())
{
tFilter=(String) tempIte.next();
}
String[] option = new String[filterOption.size()-1];
int i=0;
while (tempIte.hasNext())
{
option[i]=(String) tempIte.next();
i++;
}
tempInstances = runServer.addFilter(tempInstances,tFilter,option);
}
//tempInstances.setClassIndex(tempInstances.numAttributes()-2);
tempModel.setPreprocessedInstances(tempInstances);
tempModel.savePreprocessedInstances("preprocessed.arff");
try {
tempModel.benchmark(2,resultFilename);
}catch (Exception e)
{
runServer.logger.warn(e.toString());
}
tempModel.crossValidatePredictors(10);
try {
tempModel.saveResults(resultFilename);
}catch (Exception e)
{
runServer.logger.warn(e.toString());
}
}
//read config file
private void loadConfigFile() {
logger.debug("Reading configure from " + configFile);
try {
BufferedReader in = new BufferedReader(new FileReader(configFile));
DataFile = in.readLine();
System.out.println(DataFile);
String tempStr=null;
while((tempStr=in.readLine())!=null)
{
String[] tempString = tempStr.split(" ");
ArrayList<String> filterOption = new ArrayList<>();
for(String ts:tempString)
{
filterOption.add(ts);
}
this.filterList.add(filterOption);
}
} catch (Exception e) {
logger.warn(e.toString());
}
}
private Instances addFilter(Instances tempInstances,String filter, String[] option)
{
Class<?> tempClass=null;
try {
tempClass = Class.forName(this.map.get(filter).toString());
}catch (ClassNotFoundException e)
{
logger.warn(e.toString());
}
if(tempClass==null) return null;
Object tempFilter=null;
try {
tempFilter = tempClass.newInstance();
}catch (InstantiationException e)
{
logger.warn(e.toString());
}
catch (IllegalAccessException e)
{
logger.warn(e.toString());
}
try {
((OptionHandler)tempFilter).setOptions(option);
((Filter)tempFilter).setInputFormat(tempInstances);
}catch (Exception e)
{
logger.warn(e.toString());
}
Instances newInstances=null;
try {
newInstances = Filter.useFilter(tempInstances, (Filter) (tempFilter));
}catch (Exception e)
{
logger.warn(e.toString());
}
return newInstances;
}
private void setClassName()
{
map=new HashMap();
map.put("addexpression","weka.filters.unsupervised.attribute.AddExpression");
map.put("remove","weka.filters.unsupervised.attribute.Remove");
map.put("classassigner","weka.filters.unsupervised.attribute.ClassAssigner");
map.put("numerictonominal","weka.filters.unsupervised.attribute.NumericToNominal");
map.put("mathexpression","weka.filters.unsupervised.attribute.MathExpression");
}
}
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