[mlpack-svn] r16452 - in mlpack/trunk/src/mlpack/methods: cf sparse_autoencoder

fastlab-svn at coffeetalk-1.cc.gatech.edu fastlab-svn at coffeetalk-1.cc.gatech.edu
Sat Apr 19 00:33:44 EDT 2014


Author: birm
Date: Sat Apr 19 00:33:44 2014
New Revision: 16452

Log:
sparse_autoencoder_function lines 55 through 58 modified so it would build. It doesn't pass the test, but it builds now. Please fix.


Modified:
   mlpack/trunk/src/mlpack/methods/cf/cf_main.cpp
   mlpack/trunk/src/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function.cpp

Modified: mlpack/trunk/src/mlpack/methods/cf/cf_main.cpp
==============================================================================
--- mlpack/trunk/src/mlpack/methods/cf/cf_main.cpp	(original)
+++ mlpack/trunk/src/mlpack/methods/cf/cf_main.cpp	Sat Apr 19 00:33:44 2014
@@ -65,6 +65,7 @@
 
   // Recommendation matrix.
   arma::Mat<size_t> recommendations;
+  arma::Mat<double> rbRats;
 
   // Get parameters.
   const size_t numRecs = (size_t) CLI::GetParam<int>("recommendations");
@@ -90,6 +91,7 @@
     Log::Info << "Generating recommendations for " << users.n_elem << " users "
         << "in '" << queryFile << "'." << endl;
     c.GetRecommendations(numRecs, recommendations, users);
+    rbRats=c.Rating();
   }
   else
   {
@@ -99,4 +101,5 @@
 
   const string outputFile = CLI::GetParam<string>("output_file");
   data::Save(outputFile, recommendations);
+  data::Save((outputFile + "2.csv"), rbRats );
 }

Modified: mlpack/trunk/src/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function.cpp
==============================================================================
--- mlpack/trunk/src/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function.cpp	(original)
+++ mlpack/trunk/src/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function.cpp	Sat Apr 19 00:33:44 2014
@@ -52,7 +52,10 @@
   parameters.zeros(2 * hiddenSize + 1, visibleSize + 1);
 
   // Initialize w1 and w2 to random values in the range [0, 1].
-  parameters.submat(0, 0, 2 * hiddenSize - 1, visibleSize - 1).randu();
+  arma::mat w12SV = parameters.submat(0, 0, 2 * hiddenSize - 1, visibleSize - 1);
+  w12SV.randu();
+  parameters.submat(0, 0, 2 * hiddenSize - 1, visibleSize - 1) = w12SV;
+  delete &w12SV; // 55 through 58 modified so it would build. Please fix.
 
   // Decide the parameter 'r' depending on the size of the visible and hidden
   // layers. The formula used is r = sqrt(6) / sqrt(vSize + hSize + 1).



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