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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version represents the developer version, the "bleeding edge" of development, you could say. New functionality gets added to this version.

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/*
 *   This program is free software: you can redistribute it and/or modify
 *   it under the terms of the GNU General Public License as published by
 *   the Free Software Foundation, either version 3 of the License, or
 *   (at your option) any later version.
 *
 *   This program is distributed in the hope that it will be useful,
 *   but WITHOUT ANY WARRANTY; without even the implied warranty of
 *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *   GNU General Public License for more details.
 *
 *   You should have received a copy of the GNU General Public License
 *   along with this program.  If not, see .
 */

/*
 *    LegacyFlowLoader.java
 *    Copyright (C) 2015 University of Waikato, Hamilton, New Zealand
 *
 */

package weka.knowledgeflow;

import weka.core.WekaException;
import weka.core.WekaPackageClassLoaderManager;
import weka.gui.Logger;
import weka.gui.beans.BeanCommon;
import weka.gui.beans.BeanConnection;
import weka.gui.beans.BeanInstance;
import weka.core.PluginManager;
import weka.gui.beans.WekaWrapper;
import weka.gui.beans.xml.XMLBeans;
import weka.knowledgeflow.steps.ClassAssigner;
import weka.knowledgeflow.steps.ClassValuePicker;
import weka.knowledgeflow.steps.Classifier;
import weka.knowledgeflow.steps.ClassifierPerformanceEvaluator;
import weka.knowledgeflow.steps.CrossValidationFoldMaker;
import weka.knowledgeflow.steps.DataVisualizer;
import weka.knowledgeflow.steps.FlowByExpression;
import weka.knowledgeflow.steps.ImageSaver;
import weka.knowledgeflow.steps.IncrementalClassifierEvaluator;
import weka.knowledgeflow.steps.Join;
import weka.knowledgeflow.steps.ModelPerformanceChart;
import weka.knowledgeflow.steps.Note;
import weka.knowledgeflow.steps.PredictionAppender;
import weka.knowledgeflow.steps.Saver;
import weka.knowledgeflow.steps.SerializedModelSaver;
import weka.knowledgeflow.steps.Sorter;
import weka.knowledgeflow.steps.Step;
import weka.knowledgeflow.steps.StripChart;
import weka.knowledgeflow.steps.SubstringLabeler;
import weka.knowledgeflow.steps.SubstringReplacer;
import weka.knowledgeflow.steps.TextSaver;
import weka.knowledgeflow.steps.TrainTestSplitMaker;
import weka.knowledgeflow.steps.WekaAlgorithmWrapper;

import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.Reader;
import java.lang.reflect.Method;
import java.util.Set;
import java.util.Vector;

/**
 * Flow loader that reads legacy .kfml files and translates them to the new
 * implementation.
 * 
 * @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
 * @version $Revision: $
 */
public class LegacyFlowLoader implements FlowLoader {

  /** File extension for the format handled by this flow loader */
  public static final String EXTENSION = "kfml";

  /** Path to the steps.props file */
  protected static final String STEP_LIST_PROPS =
    "weka/knowledgeflow/steps/steps.props";

  static {
    // Add the built-in steps to the plugin manager
    try {
      PluginManager.addFromProperties(LegacyFlowLoader.class.getClassLoader()
        .getResourceAsStream(STEP_LIST_PROPS), true);
    } catch (Exception e) {
      e.printStackTrace();
    }
  }

  /** Legacy beans loaded */
  protected Vector