regularizedrandomforest.cpp

   1 //
   2 //  regularizedrandomforest.cpp
   3 //  Mothur
   4 //
   5 //  Created by Kathryn Iverson on 11/16/12.
   6 //  Copyright (c) 2012 Schloss Lab. All rights reserved.
   7 //
   8
   9 #include "regularizedrandomforest.h"
  10
  11 RegularizedRandomForest::RegularizedRandomForest(const vector <vector<int> > dataSet,const int numDecisionTrees,
  12                            const string treeSplitCriterion = "informationGain") : Forest(dataSet, numDecisionTrees, treeSplitCriterion) {
  13     m = MothurOut::getInstance();
  14 }
  15
  16 int RegularizedRandomForest::calcForrestErrorRate() {
  17     //
  18     try {
  19         return 0;
  20     }
  21     catch(exception& e) {
  22                 m->errorOut(e, "RegularizedRandomForest", "calcForrestErrorRate");
  23                 exit(1);
  24         }
  25 }
  26
  27 int RegularizedRandomForest::calcForrestVariableImportance(string filename) {
  28     //
  29     try {
  30         return 0;
  31     }
  32     catch(exception& e) {
  33                 m->errorOut(e, "RegularizedRandomForest", "calcForrestVariableImportance");
  34                 exit(1);
  35         }
  36 }
  37
  38 int RegularizedRandomForest::populateDecisionTrees() {
  39     //
  40     try {
  41         return 0;
  42     }
  43     catch(exception& e) {
  44                 m->errorOut(e, "RegularizedRandomForest", "populateDecisionTrees");
  45                 exit(1);
  46         }
  47 }
  48
  49 int RegularizedRandomForest::updateGlobalOutOfBagEstimates(DecisionTree *decisionTree) {
  50     try {
  51         return 0;
  52     }
  53     catch(exception& e) {
  54                 m->errorOut(e, "RegularizedRandomForest", "updateGlobalOutOfBagEstimates");
  55                 exit(1);
  56         }
  57 }