summaryrefslogtreecommitdiffstats
path: root/src/experiments/RunPredictionServer.java
diff options
context:
space:
mode:
authorHai Liu <hai.liu@huawei.com>2016-04-20 15:34:00 +0800
committerHai Liu <hai.liu@huawei.com>2016-04-20 15:35:01 +0800
commit9f71917d9e283195424fce4427508cc85bb36d22 (patch)
treed5842ef0d4c46584988acf35b42fae32a091a911 /src/experiments/RunPredictionServer.java
parent538c8e4d65b460db537ab81159f83e1092626275 (diff)
Add a predictor server
JIRA:PREDICTION-44 Change-Id: I97595d8857572c7e524ab459c93687af2169b8ad
Diffstat (limited to 'src/experiments/RunPredictionServer.java')
-rw-r--r--src/experiments/RunPredictionServer.java183
1 files changed, 183 insertions, 0 deletions
diff --git a/src/experiments/RunPredictionServer.java b/src/experiments/RunPredictionServer.java
new file mode 100644
index 0000000..6612a86
--- /dev/null
+++ b/src/experiments/RunPredictionServer.java
@@ -0,0 +1,183 @@
+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");
+ }
+}
+