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,
  12                                                  const int numDecisionTrees,
  13                                                  const string treeSplitCriterion = "gainratio")
  14                         // TODO: update ctor according to basic RandomForest Class
  15                       : Forest(dataSet,
  16                                numDecisionTrees,
  17                                treeSplitCriterion,
  18                                false, 0.9, true, 0.4, "log2", 0.0) {
  19     m = MothurOut::getInstance();
  20 }
  21
  22 int RegularizedRandomForest::calcForrestErrorRate() {
  23     //
  24     try {
  25         return 0;
  26     }
  27     catch(exception& e) {
  28                 m->errorOut(e, "RegularizedRandomForest", "calcForrestErrorRate");
  29                 exit(1);
  30         }
  31 }
  32
  33 int RegularizedRandomForest::calcForrestVariableImportance(string filename) {
  34     //
  35     try {
  36         return 0;
  37     }
  38     catch(exception& e) {
  39                 m->errorOut(e, "RegularizedRandomForest", "calcForrestVariableImportance");
  40                 exit(1);
  41         }
  42 }
  43
  44 int RegularizedRandomForest::populateDecisionTrees() {
  45     //
  46     try {
  47         return 0;
  48     }
  49     catch(exception& e) {
  50                 m->errorOut(e, "RegularizedRandomForest", "populateDecisionTrees");
  51                 exit(1);
  52         }
  53 }
  54
  55 int RegularizedRandomForest::updateGlobalOutOfBagEstimates(DecisionTree *decisionTree) {
  56     try {
  57         return 0;
  58     }
  59     catch(exception& e) {
  60                 m->errorOut(e, "RegularizedRandomForest", "updateGlobalOutOfBagEstimates");
  61                 exit(1);
  62         }
  63 }