Fixed #23 - file extensions in gurls++ demo

README

@@ -28,41 +28,43 @@ Documentation
 
 =============
 
-- Webpage 
-	the GURLS webpage can be found at: http://lcsl.mit.edu/#/downloads/gurls
+- GURLS webpage 
+	http://lcsl.mit.edu/#/downloads/gurls
 
 - Reference paper
-	Tacchetti,  Mallapragada, Santoro and Rosasco,
-	Gurls: a least squares-based library for state of the art supervised learning
-	accepted for publication on JMLR
+	A. Tacchetti, P. K. Mallapragada, M. Santoro and L. Rosasco,
+	GURLS: a Least Squares Library for Supervised Learning,
+	Journal of Machine Learning Research, 14, 2013.
+	http://jmlr.org/papers/v14/tacchetti13a.html 
 
 - Installation instructions can be found here:
 	https://github.com/LCSL/GURLS/wiki/2-Getting-Started
 
-- Quick intructions on how to run the libraries for a default case can be found here: 
+- Quick intructions on how to run the libraries for a default case:  
 	https://github.com/LCSL/GURLS/wiki/2-Getting-Started#wiki-Hello_World
 
-- A User manual with several examples can be found here:
+- A User manual with several examples:
 	https://github.com/LCSL/GURLS/wiki/3-User-Manual#wiki-User_Manual
 
-- A collection of the most useful and common pipelines can be found here:
+- A collection of the most useful and common pipelines: 
 	https://github.com/LCSL/GURLS/wiki/3-User-Manual#wiki-Examples
 
-- The list of all the available methods of the libraries can be found at
+- The list of all the available methods of the libraries: 
 	https://github.com/LCSL/GURLS/wiki/4-Available-methods
 
-- C++ Code Documentation can be found at: http://lcsl.github.io/GURLS/
+- C++ Code Documentation: 
+	http://lcsl.github.io/GURLS/
 
 - Further Documentation
 	* Have a look at the README files of each individual package.
 
 	* In gurls-manual.pdf you can find both the installation instructions 
-	  and user manual, together with the Matlab and C++ Developer's Guide. 
+	  and user manual, together with the MATLAB and C++ Developer's Guide. 
 	  GURLS is designed for easy expansion. Give it a try!
 
 	* In recursiveRLS-tutorial.pdf you can find a simple Tutorial for the Recursive 
 	  RLS API 
 
-	* The description of the available methods, demos and data 
-	  for each package can be found at
+	* Description of the available methods, demos and data for each package: 
 	 	https://github.com/CBCL/GURLS/wiki/4-Code-Description
+

gurls++/demo/helloworld.cpp

@@ -1,12 +1,12 @@
 /*
  * The GURLS Package in C++
  *
- * Copyright (C) 2011-1013, IIT@MIT Lab
+ * Copyright (C) 2011-1013, LCSL, MIT/IIT Lab
  * All rights reserved.
  *
  * authors:  M. Santoro
  * email:   [email protected]
- * website: http://cbcl.mit.edu/IIT@MIT/[email protected]
+ * website: http://lcsl.mit.edu
  *
  * Redistribution and use in source and binary forms, with or without
  * modification, are permitted provided that the following conditions

gurls++/demo/traintest_demo.cpp

@@ -60,13 +60,13 @@ int main(int argc, char* argv[])
 		{
 		//reading CSV with standard names from selected path
 			std::cout<<"Reading Xtr"<<std::endl;
-        Xtr.readCSV(std::string(argv[1]) + "/Xtr.csv");
+        Xtr.readCSV(std::string(argv[1]) + "/Xtr.txt");
 			std::cout<<"Reading ytr"<<std::endl;
-        ytr.readCSV(std::string(argv[1]) + "/Ytr.csv");
+        ytr.readCSV(std::string(argv[1]) + "/ytr.txt");
 			std::cout<<"Reading Xte"<<std::endl;
-        Xte.readCSV(std::string(argv[1]) + "/Xts.csv");
+        Xte.readCSV(std::string(argv[1]) + "/Xte.txt");
 			std::cout<<"Reading yte"<<std::endl;
-        yte.readCSV(std::string(argv[1]) + "/Yts.csv");
+        yte.readCSV(std::string(argv[1]) + "/yte.txt");
 		}
 
 		catch(gurls::gException &e)