Ejemplo n.º 1
0
 /**
  * sets the source directory
  *
  * @param dir the source directory
  * @throws IOException if an error occurs
  */
 public void setDirectory(File dir) throws IOException {
   setSource(dir);
 }
  public void processFolder(File folder) throws Exception {

    if (!folder.isDirectory()) {
      // manipulate file here
      String fileName = folder.getName();
      System.out.println(fileName);
      // String extension = getFileExtension(fileName);
      testdata = new Instances(new BufferedReader(new FileReader(folder)));
      if (!fileName.startsWith(".") && (fileName.contains(".csv") || fileName.contains(".xls"))) {
        CSVLoader loader = new CSVLoader();
        loader.setSource(new File(folder.getAbsolutePath()));
        traindata = loader.getDataSet();
        System.out.println(traindata.toSummaryString());
        this.chooseClassifier();
      } else if (!fileName.startsWith(".") && fileName.contains(".txt")) {

        TextDirectoryLoader loader = new TextDirectoryLoader();
        System.out.println("About to load text file " + fileName);
        System.out.println("Name of path " + folder.getAbsolutePath());
        loader.setSource(folder);
        traindata = loader.getDataSet();
        System.out.println(traindata.toSummaryString());
        this.chooseClassifier();

      } else if (!fileName.startsWith(".") && fileName.contains(".json")) {
        JSONLoader loader = new JSONLoader();
        loader.setSource(new File(folder.getAbsolutePath()));
        traindata = loader.getDataSet();
        System.out.println(traindata.toSummaryString());
        this.chooseClassifier();
      } else if (!fileName.startsWith(".") && fileName.contains(".xrff")) {
        XRFFLoader loader = new XRFFLoader();
        loader.setSource(new File(folder.getAbsolutePath()));
        traindata = loader.getDataSet();
        System.out.println(traindata.toSummaryString());
        this.chooseClassifier();
      } else if (!fileName.startsWith(".") && fileName.contains(".arff")) {
        traindata = new Instances(new BufferedReader(new FileReader(folder.getAbsolutePath())));
        testdata = new Instances(new BufferedReader(new FileReader(folder)));
        System.out.println(traindata.toSummaryString());
        this.chooseClassifier();
      } else if (!fileName.startsWith(".") && fileName.contains(".mdf")) {
        DatabaseConnection loader = new DatabaseConnection();
        loader.connectToDatabase();
        InstanceQuery query = new InstanceQuery();
        query.setUsername("lamogha");
        query.setPassword("l@mmyPHD");
        query.setQuery("select * from customers");
        // You can declare that your data set is sparse
        // query.setSparseData(true);
        Instances data = query.retrieveInstances();
        System.out.println(data.toSummaryString());
        this.chooseClassifier();
      }
    } else {

      for (final File fileEntry : folder.listFiles()) {
        if (fileEntry.isDirectory()) {
          this.processFolder(fileEntry);
        } else {
          // manipulate file here
          String fileName = fileEntry.getName();
          System.out.println(fileName);

          if (!fileName.startsWith(".")
              && (fileName.contains(".csv") || fileName.contains(".xls"))) {
            CSVLoader loader = new CSVLoader();
            loader.setSource(new File(fileEntry.getAbsolutePath()));
            traindata = loader.getDataSet();
            System.out.println(traindata.toSummaryString());
            this.chooseClassifier();
          } else if (!fileName.startsWith(".") && fileName.contains(".txt")) {

            TextDirectoryLoader loader = new TextDirectoryLoader();
            System.out.println("About to load text file " + fileName);
            System.out.println("Name of path " + fileEntry.getAbsolutePath());
            loader.setSource(folder);
            traindata = loader.getDataSet();
            System.out.println(traindata.toSummaryString());
            this.chooseClassifier();

          } else if (!fileName.startsWith(".") && fileName.contains(".json")) {
            JSONLoader loader = new JSONLoader();
            loader.setSource(new File(fileEntry.getAbsolutePath()));
            traindata = loader.getDataSet();
            System.out.println(traindata.toSummaryString());
            this.chooseClassifier();
          } else if (!fileName.startsWith(".") && fileName.contains(".xrff")) {
            XRFFLoader loader = new XRFFLoader();
            loader.setSource(new File(fileEntry.getAbsolutePath()));
            traindata = loader.getDataSet();
            System.out.println(traindata.toSummaryString());
            this.chooseClassifier();
          } else if (!fileName.startsWith(".")) {
            traindata =
                new Instances(new BufferedReader(new FileReader(fileEntry.getAbsolutePath())));
            System.out.println(traindata.toSummaryString());
            this.chooseClassifier();
          } else if (!fileName.startsWith(".") && fileName.contains(".mdf")) {
            DatabaseConnection loader = new DatabaseConnection();
            loader.connectToDatabase();
            InstanceQuery query = new InstanceQuery();
            query.setUsername("lamogha");
            query.setPassword("l@mmyPHD");
            query.setQuery("select * from customers");
            // You can declare that your data set is sparse
            // query.setSparseData(true);
            Instances data = query.retrieveInstances();
            System.out.println(data.toSummaryString());
            this.chooseClassifier();
          }
        }
      }
      // System.exit(0);
    }
  }