#include <MultipleClassifiers.hh>
Public Member Functions | |
| virtual float | getConf (const std::vector< float > &s) |
| virtual MultipleClassifiers * | getCopy () |
| void | initModels () |
| float | klDivergence (const std::vector< float > &input) |
| MultipleClassifiers (int id, int modelType, int predType, int nModels, int trainMode, int trainFreq, float featPct, float expPct, float treeThreshold, bool stoch, float featRange, Random rng) | |
| MultipleClassifiers (const MultipleClassifiers &) | |
| virtual void | testInstance (const std::vector< float > &input, std::map< float, float > *retval) |
| virtual bool | trainInstance (classPair &instance) |
| virtual bool | trainInstances (std::vector< classPair > &instances) |
| void | updateModelAccuracy (int i, const std::vector< float > &input, float out) |
| float | variance (const std::vector< float > &input) |
| ~MultipleClassifiers () | |
Public Attributes | |
| bool | ACC_DEBUG |
| bool | CONF_DEBUG |
| bool | COPYDEBUG |
| std::vector< Classifier * > | models |
| bool | PRED_DEBUG |
| bool | STDEBUG |
Private Attributes | |
| std::vector< float > | accuracy |
| const bool | addNoise |
| float | expPct |
| float | featPct |
| const float | featRange |
| const int | freq |
| const int | id |
| std::vector< std::map< float, float > > | infos |
| const int | mode |
| const int | modelType |
| const int | nModels |
| int | nsteps |
| const int | predType |
| Random | rng |
| const bool | stoch |
| const float | treeThresh |
Detailed Description
Multiple Classifiers class: uses an ensemble of classifiers, such as a set of decision trees in a random forest
Definition at line 22 of file MultipleClassifiers.hh.
Constructor & Destructor Documentation
| MultipleClassifiers::MultipleClassifiers | ( | int | id, |
| int | modelType, | ||
| int | predType, | ||
| int | nModels, | ||
| int | trainMode, | ||
| int | trainFreq, | ||
| float | featPct, | ||
| float | expPct, | ||
| float | treeThreshold, | ||
| bool | stoch, | ||
| float | featRange, | ||
| Random | rng | ||
| ) |
Default Constructor
- Parameters:
-
id identify the model modelType identifies which type of model to use predType identifies how to combine multiple models nModels # of models to use for ensemble models (i.e. random forests) trainMode build every step? only on errors? every freq steps? trainFreq frequency of model building if using latter mode featPct pct of features to remove from set used for each tree split expPct pct of experiences to give to each model treeThreshold determines the amount of error to be tolerated in the tree (prevents over-fitting with larger and larger trees) stoch if the domain is stochastic or deterministic rng Random Number Generator
Definition at line 10 of file MultipleClassifiers.cc.
Copy constructor
Definition at line 41 of file MultipleClassifiers.cc.
Definition at line 77 of file MultipleClassifiers.cc.
Member Function Documentation
| float MultipleClassifiers::getConf | ( | const std::vector< float > & | s | ) | [virtual] |
Implements Classifier.
Definition at line 290 of file MultipleClassifiers.cc.
| MultipleClassifiers * MultipleClassifiers::getCopy | ( | ) | [virtual] |
Implements Classifier.
Definition at line 70 of file MultipleClassifiers.cc.
| void MultipleClassifiers::initModels | ( | ) |
Initialize models
Definition at line 406 of file MultipleClassifiers.cc.
| float MultipleClassifiers::klDivergence | ( | const std::vector< float > & | input | ) |
Calculate kl divergence of the model's predicted probability distributions
Definition at line 329 of file MultipleClassifiers.cc.
| void MultipleClassifiers::testInstance | ( | const std::vector< float > & | input, |
| std::map< float, float > * | retval | ||
| ) | [virtual] |
Implements Classifier.
Definition at line 186 of file MultipleClassifiers.cc.
| bool MultipleClassifiers::trainInstance | ( | classPair & | instance | ) | [virtual] |
Implements Classifier.
Definition at line 145 of file MultipleClassifiers.cc.
| bool MultipleClassifiers::trainInstances | ( | std::vector< classPair > & | instances | ) | [virtual] |
Implements Classifier.
Definition at line 87 of file MultipleClassifiers.cc.
| void MultipleClassifiers::updateModelAccuracy | ( | int | i, |
| const std::vector< float > & | input, | ||
| float | out | ||
| ) |
Update measure of accuracy for model if we're using best model only
Definition at line 455 of file MultipleClassifiers.cc.
| float MultipleClassifiers::variance | ( | const std::vector< float > & | input | ) |
Calculate the variance of the model's predictions of continuous values
Definition at line 385 of file MultipleClassifiers.cc.
Member Data Documentation
Definition at line 69 of file MultipleClassifiers.hh.
std::vector<float> MultipleClassifiers::accuracy [private] |
Definition at line 93 of file MultipleClassifiers.hh.
const bool MultipleClassifiers::addNoise [private] |
Definition at line 88 of file MultipleClassifiers.hh.
Definition at line 70 of file MultipleClassifiers.hh.
Definition at line 71 of file MultipleClassifiers.hh.
float MultipleClassifiers::expPct [private] |
Definition at line 85 of file MultipleClassifiers.hh.
float MultipleClassifiers::featPct [private] |
Definition at line 84 of file MultipleClassifiers.hh.
const float MultipleClassifiers::featRange [private] |
Definition at line 89 of file MultipleClassifiers.hh.
const int MultipleClassifiers::freq [private] |
Definition at line 83 of file MultipleClassifiers.hh.
const int MultipleClassifiers::id [private] |
Definition at line 78 of file MultipleClassifiers.hh.
std::vector<std::map<float, float> > MultipleClassifiers::infos [private] |
Definition at line 95 of file MultipleClassifiers.hh.
const int MultipleClassifiers::mode [private] |
Definition at line 82 of file MultipleClassifiers.hh.
| std::vector<Classifier*> MultipleClassifiers::models |
The ensemble of Classifier Models used.
Definition at line 74 of file MultipleClassifiers.hh.
const int MultipleClassifiers::modelType [private] |
Definition at line 79 of file MultipleClassifiers.hh.
const int MultipleClassifiers::nModels [private] |
Definition at line 81 of file MultipleClassifiers.hh.
int MultipleClassifiers::nsteps [private] |
Definition at line 94 of file MultipleClassifiers.hh.
Definition at line 68 of file MultipleClassifiers.hh.
const int MultipleClassifiers::predType [private] |
Definition at line 80 of file MultipleClassifiers.hh.
Random MultipleClassifiers::rng [private] |
Definition at line 91 of file MultipleClassifiers.hh.
Definition at line 67 of file MultipleClassifiers.hh.
const bool MultipleClassifiers::stoch [private] |
Definition at line 87 of file MultipleClassifiers.hh.
const float MultipleClassifiers::treeThresh [private] |
Definition at line 86 of file MultipleClassifiers.hh.
The documentation for this class was generated from the following files: