Add required spaces to markdown

GRT/CoreModules/MLBase.h

@@ -462,7 +462,7 @@ class GRT_API MLBase : public GRTBase, public Observer< TrainingResult >, public
 
     @return returns the minimum change value
     */
-//    Float getMinChange() const;
+    Float getMinChange() const;
 
     /**
     Gets the current learningRate value, this is value used to update the weights at each step of a learning algorithm such as stochastic gradient descent.
@@ -538,7 +538,7 @@ class GRT_API MLBase : public GRTBase, public Observer< TrainingResult >, public
 
     @return returns true if the order of the training dataset should be randomized, false otherwise
     */
-//    bool getRandomiseTrainingOrder() const;
+    bool getRandomiseTrainingOrder() const;
 
     /**
     Gets if the model for the derived class has been succesfully trained.

build/README.md

@@ -1,10 +1,10 @@
-##Build
+## Build
 This folder contains a CMakeLists.txt that can be used to generate a makefile for building the GRT (as a shared or static library) and also for building the GRT examples.
 
-##Supported Operating Systems
+## Supported Operating Systems
 This CMakeLists file has been tested on Windows, Linux (Ubuntu 14.04), and OSX (10.9).
 
-##C++11
+## C++11
 The default build of the GRT uses C++11, you should therefore ensure you add C++11 support to any project using the GRT.
 
 If it is difficult to add C++11 to your setup, then you can still build the by disabling GRT C++11 functionality (note, this will limit the full functionality of the toolkit).
@@ -34,13 +34,13 @@ int main (int argc, const char * argv[])
 }
 ```
 
-##Build Instructions
+## Build Instructions
 
 - [Linux Build Instructions](#linux-build-instructions)
 - [OSX Build Instructions](#osx-build-instructions)
 - [Windows Build Instructions](#windows-build-instructions)
 
-##Linux Build Instructions
+## Linux Build Instructions
 
 Note, you will need to install make (http://www.gnu.org/software/make/) and cmake (http://www.cmake.org/) and a compiler that supports C++11 (such as g++ 4.7 and later).
 
@@ -93,7 +93,7 @@ $ pkg-config --cflags --libs grt
 - the GRT examples will be: build/examples 
 
 
-##OSX Build Instructions
+## OSX Build Instructions
 
 Note, you will need to install make (http://www.gnu.org/software/make/) and cmake (http://www.cmake.org/) and a compiler that supports C++11 (such as g++ 4.7 and later).
 
@@ -165,7 +165,7 @@ int main (int argc, const char * argv[])
 }
 ```
 
-##Windows Build Instructions
+## Windows Build Instructions
 
 Note, you will need to download and install the cmake Windows installer (http://www.cmake.org/) and a compiler that supports C++11 (such as VisualStudio 2015).
 
@@ -240,7 +240,7 @@ int main (int argc, const char * argv[])
 - select the 'Linker','Input', 'Additional Dependencies' and add the GRT static library (grt.lib)
 - click 'Apply', you should now be able to build your custom project and link against the GRT
 
-##Contributors
+## Contributors
 Thanks to:
 
 - Romain Guillemot for creating the original CMake file and for improving the support for Windows!

examples/ClusteringModulesExamples/ClusterTreeExample/ClusterTreeExample.cpp

@@ -56,12 +56,14 @@ int main (int argc, const char * argv[])
         return EXIT_FAILURE;
     }
 
-    if( !ctree.save(std::fstream("Model.grt")) ){
+    auto file = std::fstream("Model.grt");
+
+    if( !ctree.save( file ) ){
         log << "Failed to train model!" << endl;
         return EXIT_FAILURE;
     }
 
-    if( !ctree.load(std::fstream("Model.grt")) ){
+    if( !ctree.load( file ) ){
         log << "Failed to train model!" << endl;
         return EXIT_FAILURE;
     }

examples/ClusteringModulesExamples/GaussianMixtureModelsExample/GaussianMixtureModelsExample.cpp

@@ -58,14 +58,16 @@ int main (int argc, const char * argv[])
 
     cout << "GMM Trained in " << gmm.getNumTrainingIterationsToConverge() << " iterations.\n\n";
 
+    auto file = std::fstream("GMM.grt");
+
     //Save the model to a file
-    if( !gmm.save( std::fstream("GMM.grt") ) ){
+    if( !gmm.save( file ) ){
         cout << "Failed to save model to file!\n";
         return EXIT_FAILURE;
     }
 
     //Load the model back from a file
-    if( !gmm.load( std::fstream("GMM.grt") ) ){
+    if( !gmm.load( file ) ){
         cout << "Failed to load model from file!\n";
         return EXIT_FAILURE;
     }