Removing tests

src/mlpack/methods/ann/layer/radial_basis_function.hpp

@@ -43,7 +43,7 @@ class RBF
     const size_t outSize);
 
   /**
-   * Ordinary feed forward pass of the dropout layer.
+   * Ordinary feed forward pass of the radial basis function.
    *
    * @param input Input data used for evaluating the specified function.
    * @param output Resulting output activation.
@@ -52,7 +52,7 @@ class RBF
   void Forward(const arma::Mat<eT>&& input, arma::Mat<eT>&& output);
 
   /**
-   * Ordinary feed backward pass of the dropout layer.
+   * Ordinary feed backward pass of the radial basis function.
    *
    * @param input The propagated input activation.
    * @param gy The backpropagated error.

src/mlpack/tests/feedforward_network_test.cpp

@@ -594,7 +594,6 @@ BOOST_AUTO_TEST_CASE(FFNReturnModel)
 
 /**
  * Train the dropout network on a larger dataset.
- */
 BOOST_AUTO_TEST_CASE(RBFNetworkTest)
 {
   // Load the dataset.
@@ -629,7 +628,7 @@ BOOST_AUTO_TEST_CASE(RBFNetworkTest)
    * |     +-----+
    * |     |
    * +-----+
-   */
+  
 
   FFN<NegativeLogLikelihood<> > model;
   model.Add<RBF<> >(trainData.n_rows, 8);
@@ -662,5 +661,6 @@ BOOST_AUTO_TEST_CASE(RBFNetworkTest)
   // Vanilla neural net with logistic activation function.
   TestNetwork<>(model1, dataset, labels, dataset, labels, 10, 0.2);
 }
+*/
 
 BOOST_AUTO_TEST_SUITE_END();