1 files changed, 44 insertions, 45 deletions

diff --git a/src/graphClasses.h b/src/graphClasses.h
index d3c0c4a..cd80a4c 100644
--- a/src/graphClasses.h
+++ b/src/graphClasses.h
@@ -3,7 +3,6 @@
 
 #include <cstdlib>
 #include "neuralClasses.h"
-//#include <../3rdparty/Eigen/Dense>
 #include <Eigen/Dense>
 
 namespace nplm
@@ -11,50 +10,50 @@ namespace nplm
 
 template <class X>
 class Node {
-    public:
-        X * param; //what parameter is this
-        //vector <void *> children;
-        //vector <void *> parents;
-	Eigen::Matrix<double,Eigen::Dynamic,Eigen::Dynamic> fProp_matrix;
-	Eigen::Matrix<double,Eigen::Dynamic,Eigen::Dynamic> bProp_matrix;
-	int minibatch_size;
-
-    public:
-        Node() : param(NULL), minibatch_size(0) { }
-
-        Node(X *input_param, int minibatch_size)
-	  : param(input_param),
-	    minibatch_size(minibatch_size)
-        {
-	    resize(minibatch_size);
-        }
-
-	void resize(int minibatch_size)
-	{
-	    this->minibatch_size = minibatch_size;
-	    if (param->n_outputs() != -1)
-	    {
-	        fProp_matrix.setZero(param->n_outputs(), minibatch_size);
-	    }
-            if (param->n_inputs() != -1)
-            {
-	        bProp_matrix.setZero(param->n_inputs(), minibatch_size);
-            }
-	}
-
-	void resize() { resize(minibatch_size); }
-
-        /*
-        void Fprop(Matrix<double,Dynamic,Dynamic> & input,int n_cols)
-        {
-            param->fProp(input,fProp_matrix,0,0,n_cols);
-        }
-        void Fprop(Matrix<double,1,Dynamic> & input,int n_cols)
-        {
-            param->fProp(input,fProp_matrix,0,0,n_cols);
-        }
-        */
-        //for f prop, just call the fProp node of the particular parameter. 
+ public:
+  X * param; //what parameter is this
+  //vector <void *> children;
+  //vector <void *> parents;
+  Eigen::Matrix<double,Eigen::Dynamic,Eigen::Dynamic> fProp_matrix;
+  Eigen::Matrix<double,Eigen::Dynamic,Eigen::Dynamic> bProp_matrix;
+  int minibatch_size;
+
+ public:
+  Node() : param(NULL), minibatch_size(0) { }
+
+  Node(X *input_param, int minibatch_size)
+      : param(input_param),
+        minibatch_size(minibatch_size)
+  {
+    resize(minibatch_size);
+  }
+
+  void resize(int minibatch_size)
+  {
+    this->minibatch_size = minibatch_size;
+    if (param->n_outputs() != -1)
+    {
+      fProp_matrix.setZero(param->n_outputs(), minibatch_size);
+    }
+    if (param->n_inputs() != -1)
+    {
+      bProp_matrix.setZero(param->n_inputs(), minibatch_size);
+    }
+  }
+
+  void resize() { resize(minibatch_size); }
+
+  /*
+    void Fprop(Matrix<double,Dynamic,Dynamic> & input,int n_cols)
+    {
+    param->fProp(input,fProp_matrix,0,0,n_cols);
+    }
+    void Fprop(Matrix<double,1,Dynamic> & input,int n_cols)
+    {
+    param->fProp(input,fProp_matrix,0,0,n_cols);
+    }
+  */
+  //for f prop, just call the fProp node of the particular parameter.
 
 };