Documentation / Manuel développeur
Modules disponibles
Calibration,  DataServer,  Launcher,  MetaModelOptim,  Modeler,  Optimizer,  ReLauncher,  Reliability,  ReOptimizer,  Sampler,  Sensitivity,  UncertModeler,  XmlProblem,  
Uranie / XmlProblem v4.9.0
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TBaseModel.h
Go to the documentation of this file.
void setSeed(Int_t n)
set the Seed parameter. It must be positive and 0 is default value.
Definition TBaseModel.h:326
void setOutput(TString str)
set the \bf "Output" of the model
Definition TBaseModel.h:140
void setFunctionNameExport(TString str)
set the name of the function in the code source file
Definition TBaseModel.h:205
void setNInitialization(Int_t n)
set the number of initialisation step (weights for Neural Network learning). 1 is default value.
Definition TBaseModel.h:247
Int_t getNIteration()
get the number of iteration (split of the TDs in learning and test data base)
Definition TBaseModel.h:239
TString _sfunctionNameExport
Definition TBaseModel.h:81
void setTolerance(Double_t dval)
Set the tolerance parameter. It defined the stoppig rule for the optimization algorithm....
Definition TBaseModel.h:299
Double_t getTolerance()
Get the tolerance parameter.
Definition TBaseModel.h:317
ELanguage getLanguage()
get the language of the exported code source files
Definition TBaseModel.h:164
void setHidden(TString str)
setHidden
Definition TBaseModel.h:124
TBaseModel(TString sname, TString sinput, TString shidden, TString soutput)
void printLog(Option_t *option="")
void setLanguage(ELanguage val)
Set the language of the exported code source files.
Definition TBaseModel.h:156
ENorm getNormalization()
Get the normalisation parameter.
Definition TBaseModel.h:181
TString _sfileNameExport
! The normalized for input and output
Definition TBaseModel.h:80
TBaseModel(TString sinput, TString soutput)
void setNIteration(Int_t n)
set the number of iteration (split of the TDs in learning and test data base). 1 is default.
Definition TBaseModel.h:221
TString getInput()
get the \bf "Input" of the model
Definition TBaseModel.h:116
void setNormalization(ENorm n)
set the normalisation procedure between [kNO | kCR | kMinusOneOne| kZeroOne]. kCR is the default.
Definition TBaseModel.h:172
TBaseModel()
TString getFunctionNameExport()
get the function name in the code source file
Definition TBaseModel.h:213
Double_t getLearn()
get the proportion of patterns to split the learning dataset in Learning and test databases.
Definition TBaseModel.h:291
void initExport()
Int_t getNInitialization()
get the number of initialisation step (weights for Neural Network learning)
Definition TBaseModel.h:265
TString getFileNameExport()
get the file name of the code source file
Definition TBaseModel.h:197
void setInput(TString str)
set the \bf "Input" of the model
Definition TBaseModel.h:108
void setLearn(Double_t dval)
set the proportion of patterns to split the learning dataset in Learning and test databases....
Definition TBaseModel.h:273
void setFileNameExport(TString str)
set the file name of the code source file
Definition TBaseModel.h:189
Definition TBaseModel.h:57