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6.07/01
Reference Guide
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#include <iostream>
#include <algorithm>
#include <float.h>
#include "TMVA/GeneticAlgorithm.h"
#include "TMVA/Interval.h"
#include "TMVA/IFitterTarget.h"
#include "TMVA/MsgLogger.h"
#include "TMVA/Types.h"
#include "RtypesCore.h"
#include "Rtypes.h"
#include "TMath.h"
Go to the source code of this file.
Namespaces | |
TMVA | |
Abstract ClassifierFactory template that handles arbitrary types. | |
Functions | |
ClassImp (TMVA::GeneticAlgorithm) TMVA | |
Constructor Parameters: int populationSize : defines the number of "Individuals" which are created and tested within one Generation (Iteration of the Evolution) std::vector<TMVA::Interval*> ranges : Interval holds the information of an interval, where the GetMin gets the low and GetMax gets the high constraint of the variable the size of "ranges" is the number of coefficients which are optimised Purpose: Creates a random population with individuals of the size ranges.size() More... | |
Variables | |
const Bool_t | TMVA::GeneticAlgorithm__DEBUG__ = kFALSE |
ClassImp | ( | TMVA::GeneticAlgorithm | ) |
Constructor Parameters: int populationSize : defines the number of "Individuals" which are created and tested within one Generation (Iteration of the Evolution) std::vector<TMVA::Interval*> ranges : Interval holds the information of an interval, where the GetMin gets the low and GetMax gets the high constraint of the variable the size of "ranges" is the number of coefficients which are optimised Purpose: Creates a random population with individuals of the size ranges.size()
Definition at line 52 of file GeneticAlgorithm.cxx.