contrib/mul/clsfy/clsfy_knn_builder.cxx
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00001 // This is mul/clsfy/clsfy_knn_builder.cxx
00002 // Copyright (c) 2001: British Telecommunications plc
00003 #ifdef VCL_NEEDS_PRAGMA_INTERFACE
00004 #pragma implementation
00005 #endif
00006 //:
00007 // \file
00008 // \brief Implement a knn classifier builder
00009 // \author Ian Scott
00010 // \date 2001-10-07
00011 
00012 #include "clsfy_knn_builder.h"
00013 
00014 #include <vcl_iostream.h>
00015 #include <vcl_string.h>
00016 #include <vcl_cassert.h>
00017 #include <vsl/vsl_binary_loader.h>
00018 #include <vul/vul_string.h>
00019 #include <mbl/mbl_parse_block.h>
00020 #include <mbl/mbl_read_props.h>
00021 #include <clsfy/clsfy_k_nearest_neighbour.h>
00022 
00023 //=======================================================================
00024 
00025 clsfy_knn_builder::clsfy_knn_builder():
00026 k_(1)
00027 {
00028 }
00029 
00030 
00031 //=======================================================================
00032 
00033 short clsfy_knn_builder::version_no() const
00034 {
00035   return 1;
00036 }
00037 
00038 //=======================================================================
00039 
00040 vcl_string clsfy_knn_builder::is_a() const
00041 {
00042   return vcl_string("clsfy_knn_builder");
00043 }
00044 
00045 //=======================================================================
00046 
00047 bool clsfy_knn_builder::is_class(vcl_string const& s) const
00048 {
00049   return s == clsfy_knn_builder::is_a() || clsfy_builder_base::is_class(s);
00050 }
00051 
00052 //=======================================================================
00053 
00054 clsfy_builder_base* clsfy_knn_builder::clone() const
00055 {
00056   return new clsfy_knn_builder(*this);
00057 }
00058 
00059 //=======================================================================
00060 
00061 void clsfy_knn_builder::print_summary(vcl_ostream& os) const
00062 {
00063   os << "k = " << k_;
00064 }
00065 
00066 //=======================================================================
00067 
00068 void clsfy_knn_builder::b_write(vsl_b_ostream& bfs) const
00069 {
00070   vsl_b_write(bfs, version_no());
00071   vsl_b_write(bfs, k_);
00072   vcl_cerr << "clsfy_knn_builder::b_write() NYI\n";
00073 }
00074 
00075 //=======================================================================
00076 
00077 void clsfy_knn_builder::b_read(vsl_b_istream& bfs)
00078 {
00079   if (!bfs) return;
00080 
00081   short version;
00082   vsl_b_read(bfs,version);
00083   switch (version)
00084   {
00085   case (1):
00086     vsl_b_read(bfs, k_);
00087     break;
00088   default:
00089     vcl_cerr << "I/O ERROR: vsl_b_read(vsl_b_istream&, clsfy_knn_builder&)\n"
00090              << "           Unknown version number "<< version << '\n';
00091     bfs.is().clear(vcl_ios::badbit); // Set an unrecoverable IO error on stream
00092   }
00093 }
00094 
00095 //=======================================================================
00096 
00097 //: Build model from data
00098 // return the mean error over the training set.
00099 // For many classifiers, you may use nClasses==1 to
00100 // indicate a binary classifier
00101 double clsfy_knn_builder::build(clsfy_classifier_base& model,
00102                                 mbl_data_wrapper<vnl_vector<double> >& inputs,
00103                                 unsigned /* nClasses */,
00104                                 const vcl_vector<unsigned> &outputs) const
00105 {
00106   assert(model.is_class("clsfy_k_nearest_neighbour")); // equiv to dynamic_cast<> != 0
00107   assert(inputs.size()==outputs.size());
00108 
00109   clsfy_k_nearest_neighbour &knn = (clsfy_k_nearest_neighbour&) model;
00110 
00111   vcl_vector<vnl_vector<double> > vin(inputs.size());
00112 
00113   inputs.reset();
00114   unsigned i=0;
00115   do
00116   {
00117     vin[i++] = inputs.current();
00118   } while (inputs.next());
00119 
00120   assert(i==inputs.size());
00121 
00122   knn.set(vin, outputs);
00123   knn.set_k(k_);
00124   return clsfy_test_error(model, inputs, outputs);
00125 }
00126 
00127 //=======================================================================
00128 
00129 unsigned clsfy_knn_builder::k() const
00130 {
00131   return k_;
00132 }
00133 
00134 //=======================================================================
00135 
00136 void clsfy_knn_builder::set_k(unsigned k)
00137 {
00138   k_ = k;
00139 }
00140 
00141 //=======================================================================
00142 //: Create empty classifier
00143 // Caller is responsible for deletion
00144 clsfy_classifier_base* clsfy_knn_builder::new_classifier() const
00145 {
00146   return new clsfy_k_nearest_neighbour();
00147 }
00148 
00149 //=======================================================================
00150 //: Initialise the parameters from a text stream.
00151 // The next non-ws character in the stream should be a '{'
00152 // \verbatim
00153 // {
00154 //   k: 3  (default 1)
00155 // }
00156 // \endverbatim
00157 // \throw mbl_exception_parse_error if the parse fails.
00158 void clsfy_knn_builder::config(vcl_istream &as)
00159 {
00160  vcl_string s = mbl_parse_block(as);
00161 
00162   vcl_istringstream ss(s);
00163   mbl_read_props_type props = mbl_read_props_ws(ss);
00164 
00165   {
00166     k_= vul_string_atoi(props.get_optional_property("k", "1"));
00167   }
00168 
00169   // Check for unused props
00170   mbl_read_props_look_for_unused_props(
00171     "clsfy_knn_builder::config", props, mbl_read_props_type());
00172 }