Changeset 389


Ignore:
Timestamp:
Aug 15, 2005, 1:37:07 PM (16 years ago)
Author:
Peter
Message:

moved kernel to regression namespace and tried to fix some dox issues

Location:
trunk
Files:
17 edited

Legend:

Unmodified
Added
Removed
  • trunk/doc/namespaces.doxygen

    r387 r389  
    4949
    5050///
    51 /// @namespace theplu::statistics::regression Statistical modeling of
    52 /// data ...
     51/// @namespace theplu::statistics::regression
    5352///
    5453/// @brief Statistical modeling of data
  • trunk/lib/random/random.h

    r380 r389  
    1414namespace random { 
    1515
     16  ///
     17  /// @brief Random Number Generator
    1618  ///
    1719  /// The RNG class is wrapper to the GSL random number generator
     
    196198  /// @brief Exponential distribution
    197199  ///
    198   /// Class for generating a random number from a Exponential
     200  /// Class for generating a random number from an Exponential
    199201  /// distribution.
    200202  ///
  • trunk/lib/statistics/Kernel.cc

    r295 r389  
    55namespace theplu{
    66namespace statistics{
     7namespace regression{
    78
    89  Kernel::Kernel(void)
    910  {
    1011  }
    11 }} // of namespace statistics and namespace theplu
     12
     13} // of namespace regression
     14} // of namespace statistics
     15} // of namespace theplu
  • trunk/lib/statistics/Kernel.h

    r382 r389  
    66namespace theplu {
    77namespace statistics {
    8 
     8namespace regression{
    99  ///
    1010  /// Abstract Base Class for calculating the weights in a more
     
    2929  };
    3030
    31 }}  // of namespace statistics and namespace theplu
     31} // of namespace regression
     32} // of namespace statistics
     33} // of namespace theplu
    3234
    3335#endif
  • trunk/lib/statistics/KernelBox.cc

    r295 r389  
    66namespace theplu {
    77namespace statistics {
    8 
     8namespace regression {
    99  KernelBox::KernelBox(void)
    1010    : Kernel()
     
    2020  }
    2121
    22 }} // of namespace statistics and namespace theplu
     22} // of namespace regression
     23} // of namespace statistics
     24} // of namespace theplu
     25
  • trunk/lib/statistics/KernelBox.h

    r382 r389  
    99namespace theplu {
    1010namespace statistics {
     11namespace regression{
    1112
    1213  ///
     
    3334  };
    3435
    35 }}  // of namespace statistics and namespace theplu
     36} // of namespace regression
     37} // of namespace statistics
     38} // of namespace theplu
    3639
    3740#endif
  • trunk/lib/statistics/KernelTriCube.cc

    r295 r389  
    88namespace theplu {
    99namespace statistics {
     10namespace regression {
    1011
    1112  KernelTriCube::KernelTriCube(void)
     
    2223  }
    2324
    24 }} // of namespace statistics and namespace theplu
     25} // of namespace regression
     26} // of namespace statistics
     27} // of namespace theplu
     28
  • trunk/lib/statistics/KernelTriCube.h

    r382 r389  
    1010namespace theplu {
    1111namespace statistics {
     12namespace regression {
    1213
    1314  ///
     
    3435  };
    3536
    36 }}  // of namespace statistics and namespace theplu
     37} // of namespace regression
     38} // of namespace statistics
     39} // of namespace theplu
     40
    3741
    3842#endif
  • trunk/lib/statistics/Linear.h

    r385 r389  
    1414
    1515  ///
    16   /// Class for OneDimensional.   
     16  /// @brief linear regression.   
    1717  ///
    18  
     18  /// @todo document
     19  ///
    1920  class Linear : public OneDimensional
    2021  {
     
    100101    ///
    101102    /// Function returning the coefficient of determination,
    102     /// i.e. share of variance explained by the linear model.
     103    /// i.e. fraction of variance explained by the linear model.
    103104    ///
    104105    inline double r2(void) const { return r2_; }
  • trunk/lib/statistics/MultiDimensional.h

    r386 r389  
    1515
    1616  ///
    17   ///
     17  /// @brief MultiDimesional fitting.
    1818  ///
    1919  class MultiDimensional
     
    2222
    2323    ///
    24     ///
     24    /// @brief Default Constructor
    2525    ///
    2626    inline MultiDimensional(void) : chisquare_(0), work_(NULL) {}
  • trunk/lib/statistics/Naive.h

    r383 r389  
    1919
    2020  ///
    21   /// Class for OneDimensional.   
     21  /// @bief naive fitting.
     22  ///
     23  /// @todo document
    2224  ///
    2325  class Naive : public OneDimensional
  • trunk/lib/statistics/OneDimensional.h

    r383 r389  
    1515 
    1616  ///
    17   /// Virtual Class for OneDimensional.   
     17  /// Abstract Base Class for One Dimensional fitting.   
    1818  ///
    19  
     19  /// @todo document
     20  ///
    2021  class OneDimensional
    2122  {
  • trunk/lib/statistics/Polynomial.h

    r386 r389  
    1717
    1818  ///
    19   ///
     19  /// @todo document
    2020  ///
    2121  class Polynomial : public OneDimensional
  • trunk/lib/statistics/Score.h

    r295 r389  
    1010
    1111  ///
    12   /// Score is an abstract class defining the interface for the score classes.
     12  /// Abstract Base Class defining the interface for the score classes.
    1313  ///
    1414  class Score
  • trunk/lib/utility/Exception.h

    r341 r389  
    1010namespace utility {
    1111
    12 
     12  ///
     13  /// @brief Class
     14  ///
     15  /// @todo document
     16  ///
    1317  class IO_error : public std::runtime_error
    1418  {
  • trunk/lib/utility/utility.h

    r354 r389  
    55
    66///
    7 /// \file utility.h
     7/// @file utility/utility.h
    88///
    99/// Some useful functions are placed here
  • trunk/test/regression_test.cc

    r388 r389  
    1717using namespace theplu;
    1818
    19 bool Local_test(statistics::regression::OneDimensional&, statistics::Kernel&);
     19bool Local_test(statistics::regression::OneDimensional&,
     20                statistics::regression::Kernel&);
    2021
    2122
     
    6162
    6263  // testing regression::Local
    63   statistics::KernelBox kb;
     64  statistics::regression::KernelBox kb;
    6465  statistics::regression::Linear rl;
    6566  if (!Local_test(rl,kb)) {
     
    102103
    103104
    104 bool Local_test(statistics::regression::OneDimensional& r, statistics::Kernel& k)
     105bool Local_test(statistics::regression::OneDimensional& r,
     106                statistics::regression::Kernel& k)
    105107{
    106108  statistics::regression::Local rl(r,k);
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