Ignore:
Timestamp:
Feb 25, 2008, 3:32:35 PM (14 years ago)
Author:
Markus Ringnér
Message:

Refs #335, fixed for NCC, working on KNN

File:
1 edited

Legend:

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Added
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  • trunk/test/ncc_test.cc

    r1132 r1142  
    159159
    160160  //////////////////////////////////////////////////////////////////////////
     161  // A test of predictions when a centroid has nan for all variables that a
     162  // test sample has non-zero weights for.
     163  //////////////////////////////////////////////////////////////////////////
     164  *error << "test of predictions using nan centroids and weighted test data\n";
     165  *error << "... using EuclideanDistance" << std::endl;
     166  weights1(0,0)=weights1(2,0)=0;
     167  classifier::NCC<statistics::EuclideanDistance> ncc3(mlw2,target1);
     168  ncc3.train();
     169  ncc3.predict(mlw1,prediction1);
     170  if(!std::isnan(ncc3.centroids()(1,0))) {
     171    ok=false;
     172    *error << "Training failed: expected nan in centroid" << std::endl;
     173  }
     174  if(!(std::isnan(prediction1(0,0)) &&
     175       fabs(prediction1(1,0)-sqrt(3.0))<slack_bound &&
     176       fabs(prediction1(0,1)-sqrt(3.0))<slack_bound &&
     177       fabs(prediction1(1,1)-sqrt(15.0))<slack_bound &&
     178       fabs(prediction1(0,2)-sqrt(27.0))<slack_bound)) { 
     179    ok=false;
     180    *error << "Test failed: predictions incorrect" << std::endl;
     181  }
     182  *error << "... using PearsonDistance" << std::endl;;
     183  classifier::NCC<statistics::PearsonDistance> ncc4(mlw2,target1);
     184  ncc4.train();
     185  ncc4.predict(mlw1,prediction1);
     186  if(!std::isnan(ncc4.centroids()(1,0))) {
     187    ok=false;
     188    *error << "Training failed: expected nan in centroid" << std::endl;
     189  }
     190  if(!(std::isnan(prediction1(0,0)) &&
     191       std::isnan(prediction1(0,2)) &&
     192       std::isnan(prediction1(1,0)) &&
     193       fabs(prediction1(0,1))<slack_bound &&
     194       fabs(prediction1(1,2))<slack_bound &&
     195       fabs(prediction1(1,3))<slack_bound && 
     196       fabs(prediction1(0,3)-2.0)<slack_bound &&
     197       fabs(prediction1(1,1)-2.0)<slack_bound)) {
     198    ok=false;
     199    *error << "Test failed: predictions incorrect" << std::endl;
     200  }
     201
     202
     203  //////////////////////////////////////////////////////////////////////////
    161204  // A test of predictions using Sorlie data
    162205  //////////////////////////////////////////////////////////////////////////
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