text: /************************************************************************/
  /*                                                                      */
  /*        Copyright 2008-2009 by Rahul Nair and Ullrich Koethe          */
  /*                                                                      */
  /*    This file is part of the VIGRA computer vision library.           */
  /*    The VIGRA Website is                                              */
  /*        http://hci.iwr.uni-heidelberg.de/vigra/                       */
  /*    Please direct questions, bug reports, and contributions to        */
  /*        ullrich.koethe@iwr.uni-heidelberg.de    or                    */
  /*        vigra@informatik.uni-hamburg.de                               */
  /*                                                                      */
  /*    Permission is hereby granted, free of charge, to any person       */
  /*    obtaining a copy of this software and associated documentation    */
  /*    files (the "Software"), to deal in the Software without           */
  /*    restriction, including without limitation the rights to use,      */
  /*    copy, modify, merge, publish, distribute, sublicense, and/or      */
  /*    sell copies of the Software, and to permit persons to whom the    */
  /*    Software is furnished to do so, subject to the following          */
  /*    conditions:                                                       */
  /*                                                                      */
  /*    The above copyright notice and this permission notice shall be    */
  /*    included in all copies or substantial portions of the             */
  /*    Software.                                                         */
  /*                                                                      */
  /*    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND    */
  /*    EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES   */
  /*    OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND          */
  /*    NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT       */
  /*    HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,      */
  /*    WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING      */
  /*    FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR     */
  /*    OTHER DEALINGS IN THE SOFTWARE.                                   */
  /*                                                                      */
  /************************************************************************/
  
  #include <iostream>
  #include <set>
  #include <vigra/matlab.hxx>
  #include "random_forest_impex.hxx"
  
  using namespace vigra;
  using namespace matlab;
  using namespace rf;
  using namespace visitors;
  
  
  void vigraMain(matlab::OutputArray outputs, matlab::InputArray inputs){
      /* INPUT */
      if (inputs.size() != 2)
          mexErrMsgTxt("Two inputs required.");
  
      // get RF object
     	RandomForest<> rf; 
      matlab::importRandomForest(rf, matlab::getCellArray(inputs[0]));
  
      // get feature matrix
      MultiArrayView<2, double> features = inputs.getMultiArray<2, double> ( 1, v_required());
      if(rf.ext_param_.column_count_ != columnCount(features))
          mexErrMsgTxt("Feature array has wrong number of columns.");
  
      /* OUTPUT */
      MultiArrayView<2, double> probs = outputs.createMultiArray<2, double>(0, v_required(),
                                                                  MultiArrayShape<2>::type(rowCount(features), 
  																						 rf.ext_param_.class_count_));
  
      rf.predictProbabilities(features, probs);
  
  }
  
  
  
  
  /***************************************************************************************************
  **         VIGRA GATEWAY                                                                          **
  ****************************************************************************************************/
  inline void vigraMexFunction(vigra::matlab::OutputArray outputs, vigra::matlab::InputArray inputs)
  {
      vigraMain(outputs, inputs);
  }
  /** Matlab
  function probs = vigraPredictProbabilitiesRF(RF, features)
  
  Use a previously trained random forest classifier to predict labels for the given data
      RF        - MATLAB cell array representing the random forest classifier
      features  - M x N matrix, where M is the number of samples, N the number of features
  
      probs     - M x L matrix holding the predicted probabilities for each of
                  the L possible labels
  */
  