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diff --git a/src/modular/Classifier.i b/src/modular/Classifier.i
index 803f28f..b40478a 100644
--- a/src/modular/Classifier.i
+++ b/src/modular/Classifier.i
@@ -12,7 +12,11 @@
 "The `Classifier` module gathers all classifiers available in the SHOGUN toolkit."
 %enddef
 
+#ifndef SWIGRUBY
 %module(docstring=DOCSTR) Classifier

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template<class T> class SGVector
{
	public:
		/** default constructor */
		SGVector() : vector(NULL), vlen(0), do_free(false) { }

		/** constructor for setting params */
		SGVector(T* v, index_t len, bool free_vec=false)
			: vector(v), vlen(len), do_free(free_vec) { }

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require("Distance")
require("Features");
require 'load'

traindat = load_numbers('../data/fm_train_real.dat')
testdat = load_numbers('../data/fm_test_real.dat')

parameter_list = {{traindat,testdat},{traindat,testdat}}

function distance_braycurtis_modular (fm_train_real,fm_test_real)

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Program received signal SIGSEGV, Segmentation fault.
0x00007ffff7dcfa38 in sigemptyset () from /home/sonne/v/octave/src/.libs/liboctinterp.so.0
(gdb) bt
#0  0x00007ffff7dcfa38 in sigemptyset () from /home/sonne/v/octave/src/.libs/liboctinterp.so.0
#1  0x00007ffff6fabfd1 in octave_set_signal_handler (sig=2, handler=0x7ffff6fac080 <sigint_handler(int)>, restart_syscalls=true) at sighandlers.cc:225
#2  0x00007ffff6fac066 in octave_catch_interrupts () at sighandlers.cc:460
#3  0x00007ffff6fac203 in install_signal_handlers () at sighandlers.cc:529
#4  0x00007ffff6f75ce6 in octave_main (argc=6, argv=0x7fffffffd6a8, embedded=0) at octave.cc:668
#5  0x00000000004006f7 in main (argc=6, argv=0x7fffffffd6a8) at main.c:35
(gdb) up

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diff -r 10a5c8155756 liboctave/DiagArray2.h
--- a/liboctave/DiagArray2.h	Tue Nov 08 14:50:15 2011 -0500
+++ b/liboctave/DiagArray2.h	Wed Nov 09 22:19:22 2011 +0100
@@ -43,7 +43,7 @@
 
 public:
 
-  using Array<T>::element_type;
+  using typename Array<T>::element_type;
 

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#include <shogun/base/init.h>
#include <shogun/classifier/mkl/MKLClassification.h>
#include <shogun/regression/svr/MKLRegression.h>
#include <shogun/regression/svr/LibSVR.h>
#include <shogun/regression/svr/SVRLight.h>
#include <shogun/features/Labels.h>
#include <shogun/lib/DataType.h>
#include <shogun/kernel/CustomKernel.h>
#include <shogun/kernel/CombinedKernel.h>
#include <shogun/features/SimpleFeatures.h>

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#include <iostream>
#include <vector>
#include <cmath>
#include <time.h>

using namespace std;

static double
JS1 (const vector<double>& a, const vector<double>& b) {
  double result = 0;

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/*g++ -O9 -mfpmath=sse -march=native -mtune=native nodifference.cpp */

#include <stdlib.h>
#include <stdio.h>
#include <iostream>
#include <vector>
#include <cmath>
#include <sys/time.h>

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class CVanillaStructuredOutputMachine : public CMachine {
    // Constructor, Destructor
    CStructuredOutputMachine(
        CStructuredData* trainset,CLoss* loss,CModel* model)
    virtual ~CStructuredOutputMachine
    
    // heritable data
    CStructuredData* trainset
    CLoss* loss
    CModel* model

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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.
 * 
 * Written (W) 2013 Soumyajit De
 */

#include <shogun/lib/common.h>