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Uranie / XmlProblem
v4.10.0
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TBaseModel.h
Go to the documentation of this file.
252 Form("TBaseModel::setNInitialization Error\n The number of initialization must be positive [%d].", n));
278 Form("TBaseModel::setLearn Error\n The proportion must be in [0.0, 1.0], and we set to [%f].", dval));
Definition: TBaseModel.h:56
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 _sfunctionNameExport
Definition: TBaseModel.h:81
Definition: TBaseModel.h:65
void setLearn(Double_t dval)
set the proportion of patterns to split the learning dataset in Learning and test databases...
Definition: TBaseModel.h:273
Definition: TBaseModel.h:69
Double_t getTolerance()
Get the tolerance parameter.
Definition: TBaseModel.h:317
void printLog(Option_t *option="")
Definition: TBaseModel.h:65
TBaseModel()
void initExport()
TString _sfileNameExport
! The normalized for input and output
Definition: TBaseModel.h:80
void setTolerance(Double_t dval)
Set the tolerance parameter. It defined the stoppig rule for the optimization algorithm. It must be possitive and 1.e-4 is default value.
Definition: TBaseModel.h:299
void setSeed(Int_t n)
set the Seed parameter. It must be positive and 0 is default value.
Definition: TBaseModel.h:326
void setHidden(TString str)
setHidden
Definition: TBaseModel.h:124
Definition: TBaseModel.h:69
Definition: TBaseModel.h:69
void setInput(TString str)
set the "Input" of the model
Definition: TBaseModel.h:108
void setNormalization(ENorm n)
set the normalisation procedure between [kNO | kCR | kMinusOneOne| kZeroOne]. kCR is the default...
Definition: TBaseModel.h:172
Definition: TBaseModel.h:69
void setFunctionNameExport(TString str)
set the name of the function in the code source file
Definition: TBaseModel.h:205
void setLanguage(ELanguage val)
Set the language of the exported code source files.
Definition: TBaseModel.h:156
void setNInitialization(Int_t n)
set the number of initialisation step (weights for Neural Network learning). 1 is default value...
Definition: TBaseModel.h:247
TString getFunctionNameExport()
get the function name in the code source file
Definition: TBaseModel.h:213
TString getInput()
get the "Input" of the model
Definition: TBaseModel.h:116
Int_t getNInitialization()
get the number of initialisation step (weights for Neural Network learning)
Definition: TBaseModel.h:265
Definition: TBaseModel.h:65
Definition: TBaseModel.h:65
void setFileNameExport(TString str)
set the file name of the code source file
Definition: TBaseModel.h:189
void setOutput(TString str)
set the "Output" of the model
Definition: TBaseModel.h:140
Definition: TBaseModel.h:65
ENorm getNormalization()
Get the normalisation parameter.
Definition: TBaseModel.h:181
Int_t getNIteration()
get the number of iteration (split of the TDs in learning and test data base)
Definition: TBaseModel.h:239
TString getFileNameExport()
get the file name of the code source file
Definition: TBaseModel.h:197
Double_t getLearn()
get the proportion of patterns to split the learning dataset in Learning and test databases...
Definition: TBaseModel.h:291
Definition: TBaseModel.h:65
ELanguage getLanguage()
get the language of the exported code source files
Definition: TBaseModel.h:164