- AStack:Load show mean and stddev

source/matutils.hpp

@@ -20,6 +20,7 @@
 
 namespace Matutils
 {
+	const size_t NORMALIZING_DIM = 1;
 	inline void uniform(arma::mat& srcDst, double stdDev=1.0, double mu=0.5)
 	{
 	#if 0
@@ -68,14 +69,13 @@ namespace Matutils
 		// Dim = 0: Normalize over training all training pattern
 		// Dim = 1: Normalize over single training pattern
 		double k = 1;
-		size_t dim = 1;
-		arma::mat mean = arma::mean(src, dim);
-		arma::mat stddev = arma::stddev(src, 0, dim);
+		arma::mat mean = arma::mean(src, NORMALIZING_DIM);
+		arma::mat stddev = arma::stddev(src, 0, NORMALIZING_DIM);
 
 		arma::mat mean_mat;
 		arma::mat std_mat;
 
-		if (dim==0)
+		if (NORMALIZING_DIM==0)
 		{
 			mean_mat = arma::repmat(mean, src.n_rows, 1);
 			std_mat = arma::repmat(stddev, src.n_rows, 1);
@@ -88,11 +88,19 @@ namespace Matutils
 
 		arma::mat xn = src - mean_mat;
 		arma::mat y = xn/(std_mat + 1e-9);
-		std::cout << "mean" << "  : " << std::endl << arma::mean(y, dim) << std::endl;
-		std::cout << "stddev" << ": " << std::endl << arma::stddev(y, 0, dim) << std::endl;
 		return y;
 	}
 
+	inline arma::mat mean(const arma::mat& src)
+	{
+		return arma::mean(src, NORMALIZING_DIM);
+	}
+
+	inline arma::mat stddev(const arma::mat& src)
+	{
+		return arma::stddev(src, 0, NORMALIZING_DIM);
+	}
+
 	inline arma::mat char2vec(char c, size_t len)
 	{
 		arma::mat result = arma::zeros(1, len);