updating copyright

alexswerner · Apr 11, 2013 · 86442bf · 86442bf
1 parent 77a6852
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diff --git a/CMakeLists.txt b/CMakeLists.txt
@@ -1,5 +1,5 @@
 # Created by Manuel Blum on 2011-05-25.
-# Copyright 2011 University of Freiburg.
+# Copyright 2013 University of Freiburg.
 
 CMAKE_MINIMUM_REQUIRED(VERSION 2.8)
 

diff --git a/Sources.cmake b/Sources.cmake
@@ -6,14 +6,12 @@ SET(LIBGP_SRC
   src/cov_matern3_iso.cc
   src/cov_matern5_iso.cc
   src/cov_noise.cc
-  src/cov_rbf_cs.cc
   src/cov_rq_iso.cc
   src/cov_periodic_matern3_iso.cc
   src/cov_se_ard.cc
   src/cov_se_iso.cc
   src/cov_sum.cc
   src/gp.cc
-  #src/gp_sparse.cc
   src/gp_utils.cc
   src/sampleset.cc
   src/rprop.cc
@@ -29,14 +27,12 @@ SET(LIBGP_INTERFACES
   include/cov_matern3_iso.h
   include/cov_matern5_iso.h
   include/cov_noise.h
-  include/cov_rbf_cs.h
   include/cov_rq_iso.h
   include/cov_periodic_matern3_iso.h
   include/cov_se_ard.h
   include/cov_se_iso.h
   include/cov_sum.h
   include/gp.h
-  #include/gp_sparse.h
   include/gp_utils.h
   include/sampleset.h
   include/rprop.h

diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt
@@ -1,2 +1,6 @@
+# libgp - Gaussian process library for Machine Learning
+# Copyright (c) 2013, Manuel Blum <[email protected]>
+# All rights reserved.
+
 ADD_EXECUTABLE(gpdense gp_example_dense.cc)
 TARGET_LINK_LIBRARIES(gpdense gp)
diff --git a/examples/gp_example_dense.cc b/examples/gp_example_dense.cc
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #include "gp.h"

diff --git a/examples/gp_example_sparse.cc b/examples/gp_example_sparse.cc
diff --git a/include/cov.h b/include/cov.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_H__
@@ -86,12 +86,6 @@ namespace libgp
       /** Draw random target values from this covariance function for input X. */
       Eigen::VectorXd draw_random_sample(Eigen::MatrixXd &X);
 
-      /** Get distance threshold of this covariance function. */
-      virtual double get_threshold();
-
-      /** Set distance threshold of this covariance function. */
-      virtual void set_threshold(double threshold);
-
       bool loghyper_changed;
 
     protected:

diff --git a/include/cov_factory.h b/include/cov_factory.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_FACTORY_H__

diff --git a/include/cov_linear_ard.h b/include/cov_linear_ard.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_LINEAR_ARD_H__

diff --git a/include/cov_linear_one.h b/include/cov_linear_one.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_LINEAR_ONE__

diff --git a/include/cov_matern3_iso.h b/include/cov_matern3_iso.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_MATERN3_ISO_H__

diff --git a/include/cov_matern5_iso.h b/include/cov_matern5_iso.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_MATERN5_ISO_H__

diff --git a/include/cov_noise.h b/include/cov_noise.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_NOISE_H__

diff --git a/include/cov_periodic_matern3_iso.h b/include/cov_periodic_matern3_iso.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_PERIODIC_MATERN3_ISO_H__

diff --git a/include/cov_rbf_cs.h b/include/cov_rbf_cs.h
diff --git a/include/cov_rq_iso.h b/include/cov_rq_iso.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_RQ_ISO_H__

diff --git a/include/cov_se_ard.h b/include/cov_se_ard.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_SE_ARD_H__

diff --git a/include/cov_se_iso.h b/include/cov_se_iso.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_SE_ISO_H__

diff --git a/include/cov_sum.h b/include/cov_sum.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_SUM_H__
@@ -22,8 +22,6 @@ namespace libgp
     void grad(const Eigen::VectorXd &x1, const Eigen::VectorXd &x2, Eigen::VectorXd &grad);
     void set_loghyper(const Eigen::VectorXd &p);
     virtual std::string to_string();
-    virtual double get_threshold();
-    virtual void set_threshold(double threshold);
   private:
     size_t param_dim_first;
     size_t param_dim_second;

diff --git a/include/gp.h b/include/gp.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 /*! 

diff --git a/include/gp_utils.h b/include/gp_utils.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __GP_UTILS_H__

diff --git a/include/input_dim_filter.h b/include/input_dim_filter.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __COV_INPUT_DIM_FILTER__

diff --git a/include/rprop.h b/include/rprop.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __RPROP_H__

diff --git a/include/sampleset.h b/include/sampleset.h
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #ifndef __SAMPLESET_H__

diff --git a/src/cov.cc b/src/cov.cc
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #include "cov.h"
@@ -55,15 +55,4 @@ namespace libgp
     solver = K.llt();  
     return solver.matrixL() * y;
   }
-
-  double CovarianceFunction::get_threshold()
-  {
-    return INFINITY;
-  }
-
-  void CovarianceFunction::set_threshold(double threshold) 
-  {
-    std::cerr << "warning: thresholding is not supported for " << to_string() 
-      << " covariance function." << std::endl;
-  }
 }
diff --git a/src/cov_factory.cc b/src/cov_factory.cc
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #include <string>
@@ -12,7 +12,6 @@
 #include "cov_linear_one.h"
 #include "cov_se_ard.h"
 #include "cov_se_iso.h"
-#include "cov_rbf_cs.h"
 #include "cov_matern3_iso.h"
 #include "cov_matern5_iso.h"
 #include "cov_rq_iso.h"
@@ -28,7 +27,6 @@ namespace libgp {
     registry["CovMatern3iso"] = & create_func<CovMatern3iso>;
     registry["CovMatern5iso"] = & create_func<CovMatern5iso>;
     registry["CovNoise"] = & create_func<CovNoise>;
-    registry["CovRBFCS"] = & create_func<CovRBFCS>;
     registry["CovRQiso"] = & create_func<CovRQiso>;
     registry["CovSEard"] = & create_func<CovSEard>;
     registry["CovSEiso"] = & create_func<CovSEiso>;

diff --git a/src/cov_linear_ard.cc b/src/cov_linear_ard.cc
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #include "cov_linear_ard.h"

diff --git a/src/cov_linear_one.cc b/src/cov_linear_one.cc
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #include "cov_linear_one.h"

diff --git a/src/cov_matern3_iso.cc b/src/cov_matern3_iso.cc
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #include "cov_matern3_iso.h"
@@ -47,4 +47,4 @@ namespace libgp
     return "CovMatern3iso";
   }
 
-}
+}
diff --git a/src/cov_matern5_iso.cc b/src/cov_matern5_iso.cc
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #include "cov_matern5_iso.h"
@@ -48,4 +48,4 @@ namespace libgp
     return "CovMatern5iso";
   }
 
-}
+}
diff --git a/src/cov_noise.cc b/src/cov_noise.cc
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #include "cov_noise.h"

diff --git a/src/cov_periodic_matern3_iso.cc b/src/cov_periodic_matern3_iso.cc
@@ -1,5 +1,5 @@
 // libgp - Gaussian process library for Machine Learning
-// Copyright (c) 2011, Manuel Blum <[email protected]>
+// Copyright (c) 2013, Manuel Blum <[email protected]>
 // All rights reserved.
 
 #include "cov_periodic_matern3_iso.h"