tmva Directory Reference

Directory dependency graph for tmva:

Directories
directory	envelope
directory	keras

Files
file	createData.C [code]
	Plot the variables.
file	TMVAClassification.C [code]
	This macro provides examples for the training and testing of the TMVA classifiers.
file	TMVAClassificationApplication.C [code]
	This macro provides a simple example on how to use the trained classifiers within an analysis module
file	TMVAClassificationCategory.C [code]
	This macro provides examples for the training and testing of the TMVA classifiers in categorisation mode.
file	TMVAClassificationCategoryApplication.C [code]
	This macro provides a simple example on how to use the trained classifiers (with categories) within an analysis module
file	TMVACrossValidation.C [code]
	This macro provides an example of how to use TMVA for k-folds cross evaluation.
file	TMVACrossValidationApplication.C [code]
	This macro provides an example of how to use TMVA for k-folds cross evaluation in application.
file	TMVACrossValidationRegression.C [code]
	This macro provides an example of how to use TMVA for k-folds cross evaluation.
file	TMVAGAexample.C [code]
	This exectutable gives an example of a very simple use of the genetic algorithm of TMVA
file	TMVAGAexample2.C [code]
	This exectutable gives an example of a very simple use of the genetic algorithm of TMVA.
file	TMVAMinimalClassification.C [code]
	Minimal self-contained example for setting up TMVA with binary classification.
file	TMVAMulticlass.C [code]
	This macro provides a simple example for the training and testing of the TMVA multiclass classification
file	TMVAMulticlassApplication.C [code]
	This macro provides a simple example on how to use the trained multiclass classifiers within an analysis module
file	TMVAMultipleBackgroundExample.C [code]
	This example shows the training of signal with three different backgrounds Then in the application a tree is created with all signal and background events where the true class ID and the three classifier outputs are added finally with the application tree, the significance is maximized with the help of the TMVA genetic algrorithm.
file	TMVARegression.C [code]
	This macro provides examples for the training and testing of the TMVA classifiers.
file	TMVARegressionApplication.C [code]
	This macro provides a simple example on how to use the trained regression MVAs within an analysis module