[mlpack-svn] r10381 - mlpack/trunk/src/mlpack/tests

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

Author: rcurtin
Date: 2011-11-23 21:43:49 -0500 (Wed, 23 Nov 2011)
New Revision: 10381

Removed:
   mlpack/trunk/src/mlpack/tests/ridge_regression_test.cpp
Modified:
   mlpack/trunk/src/mlpack/tests/CMakeLists.txt
Log:
Remove RidgeRegression test since we aren't using that implementation anymore.


Modified: mlpack/trunk/src/mlpack/tests/CMakeLists.txt
===================================================================
--- mlpack/trunk/src/mlpack/tests/CMakeLists.txt	2011-11-24 02:43:31 UTC (rev 10380)
+++ mlpack/trunk/src/mlpack/tests/CMakeLists.txt	2011-11-24 02:43:49 UTC (rev 10381)
@@ -28,7 +28,6 @@
   nbc_test.cpp
   nca_test.cpp
   nnsvm_test.cpp
-  ridge_regression_test.cpp
   save_restore_utility_test.cpp
   sort_policy_test.cpp
   svm_test.cpp

Deleted: mlpack/trunk/src/mlpack/tests/ridge_regression_test.cpp
===================================================================
--- mlpack/trunk/src/mlpack/tests/ridge_regression_test.cpp	2011-11-24 02:43:31 UTC (rev 10380)
+++ mlpack/trunk/src/mlpack/tests/ridge_regression_test.cpp	2011-11-24 02:43:49 UTC (rev 10381)
@@ -1,81 +0,0 @@
-/**
- * @file ridge_regression_test.cpp
- *
- * Test for ridge regression.
- */
-#include <mlpack/core.h>
-#include <mlpack/methods/regression/ridge_regression.h>
-#include <mlpack/methods/regression/ridge_regression_util.h>
-
-#include <iostream>
-
-#include <boost/test/unit_test.hpp>
-
-using namespace mlpack;
-using namespace mlpack::regression;
-
-BOOST_AUTO_TEST_SUITE(RidgeRegressionTest);
-
-/*
-BOOST_AUTO_TEST_CASE(TestSVDNormalEquationRegressVersusSVDRegress)
-{
-  arma::mat predictors_ = "1.2 4.2 2.1 0.3 4.2;"
-                          "3.1 1.1 4.7 1.8 0.4;"
-                          "2.5 3.3 9.1 7.4 0.1";
-  arma::mat predictions_ = "0.4 0.33 0.8 1.4 3.3";
-  arma::mat true_factors_ = "0; 0; 0";
-
-  RidgeRegression engine_(predictors_, predictions_, true);
-  engine_.SVDRegress(0);
-  RidgeRegression svd_engine(predictors_, predictions_, false);
-  svd_engine.SVDRegress(0);
-  arma::mat factors, svd_factors;
-
-  engine_.factors(&factors);
-  svd_engine.factors(&svd_factors);
-
-  for(size_t i=0; i<factors.n_rows; i++)
-    BOOST_REQUIRE_CLOSE(factors(i, 0), svd_factors(i, 0), 1e-5);
-}
- */
-
-BOOST_AUTO_TEST_CASE(TestVIFBasedFeatureSelection)
-{
-  // Craft a synthetic dataset in which the third dimension is
-  // completely dependent on the first and the second.
-  arma::mat synthetic_data;
-  arma::mat synthetic_data_target_training_values;
-  synthetic_data.zeros(4, 5);
-  synthetic_data_target_training_values.zeros(1, 5);
-
-  for(size_t i = 0; i < 5; i++)
-  {
-    synthetic_data(0, i) = i;
-    synthetic_data(1, i) = 3 * i + 1;
-    synthetic_data(2, i) = 4;
-    synthetic_data(3, i) = 5;
-    synthetic_data_target_training_values(0, i) = i;
-  }
-
-  arma::Col<size_t> predictor_indices;
-  arma::Col<size_t> prune_predictor_indices;
-  arma::Col<size_t> output_predictor_indices;
-  predictor_indices.zeros(4);
-  predictor_indices[0] = 0;
-  predictor_indices[1] = 1;
-  predictor_indices[2] = 2;
-  predictor_indices[3] = 3;
-  prune_predictor_indices = predictor_indices;
-  RidgeRegression engine_(synthetic_data, predictor_indices,
-      synthetic_data_target_training_values);
-  engine_.FeatureSelectedRegression(predictor_indices,
-      prune_predictor_indices,
-      synthetic_data_target_training_values,
-      &output_predictor_indices);
-  std::cout << "Output indices: ";
-  for(size_t i = 0; i < output_predictor_indices.n_elem; i++)
-    std::cout << output_predictor_indices[i] << ' ';
-  std::cout << std::endl;
-}
-
-BOOST_AUTO_TEST_SUITE_END();