[mlpack-svn] r17477 - mlpack/tags/mlpack-1.0.11/src/mlpack/methods/amf/init_rules

[fastlab-svn at coffeetalk-1.cc.gatech.edu]

Author: rcurtin
Date: Sun Dec  7 19:58:33 2014
New Revision: 17477

Log:
Add license.


Modified:
   mlpack/tags/mlpack-1.0.11/src/mlpack/methods/amf/init_rules/average_init.hpp

Modified: mlpack/tags/mlpack-1.0.11/src/mlpack/methods/amf/init_rules/average_init.hpp
==============================================================================
--- mlpack/tags/mlpack-1.0.11/src/mlpack/methods/amf/init_rules/average_init.hpp	(original)
+++ mlpack/tags/mlpack-1.0.11/src/mlpack/methods/amf/init_rules/average_init.hpp	Sun Dec  7 19:58:33 2014
@@ -3,6 +3,21 @@
  * @author Sumedh Ghaisas
  *
  * Intialization rule for Alternating Matrix Factorization.
+ *
+ * This file is part of MLPACK 1.0.11.
+ *
+ * MLPACK is free software: you can redistribute it and/or modify it under the
+ * terms of the GNU Lesser General Public License as published by the Free
+ * Software Foundation, either version 3 of the License, or (at your option) any
+ * later version.
+ *
+ * MLPACK is distributed in the hope that it will be useful, but WITHOUT ANY
+ * WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
+ * A PARTICULAR PURPOSE.  See the GNU Lesser General Public License for more
+ * details (LICENSE.txt).
+ *
+ * You should have received a copy of the GNU General Public License along with
+ * MLPACK.  If not, see <http://www.gnu.org/licenses/>.
  */
 #ifndef __MLPACK_METHODS_AMF_AVERAGE_INIT_HPP
 #define __MLPACK_METHODS_AMF_AVERAGE_INIT_HPP
@@ -13,12 +28,12 @@
 namespace amf {
 
 /**
- * This initialization rule initializes matrix W and H to root of average of V 
+ * This initialization rule initializes matrix W and H to root of average of V
  * with uniform noise. Uniform noise is generated by Armadillo's 'randu' function.
  * To have a better effect lower bound of the matrix is subtracted from average
- * before dividing it by the factorization rank. This computed value is added 
+ * before dividing it by the factorization rank. This computed value is added
  * with the random noise.
- */ 
+ */
 class AverageInitialization
 {
  public:
@@ -33,7 +48,7 @@
   {
     size_t n = V.n_rows;
     size_t m = V.n_cols;
-  
+
     double V_avg = 0;
     size_t count = 0;
     double min = DBL_MAX;
@@ -51,7 +66,7 @@
     // Intialize to random values.
     W.randu(n, r);
     H.randu(r, m);
-    
+
     W = W + V_avg;
     H = H + V_avg;
   }