Logo ROOT   6.17/01
Reference Guide
Files
TMVA tutorials

Example code which illustrates how to use the TMVA toolkit.

Files

file  createData.C
 Plot the variables.
 
file  TMVAClassification.C
  View in nbviewer Open in SWAN This macro provides examples for the training and testing of the TMVA classifiers.
 
file  TMVAClassificationApplication.C
  View in nbviewer Open in SWAN This macro provides a simple example on how to use the trained classifiers within an analysis module
 
file  TMVAClassificationCategory.C
  View in nbviewer Open in SWAN This macro provides examples for the training and testing of the TMVA classifiers in categorisation mode.
 
file  TMVAClassificationCategoryApplication.C
  View in nbviewer Open in SWAN This macro provides a simple example on how to use the trained classifiers (with categories) within an analysis module
 
file  TMVACrossValidation.C
  View in nbviewer Open in SWAN This macro provides an example of how to use TMVA for k-folds cross evaluation.
 
file  TMVACrossValidationApplication.C
  View in nbviewer Open in SWAN This macro provides an example of how to use TMVA for k-folds cross evaluation in application.
 
file  TMVACrossValidationRegression.C
  View in nbviewer Open in SWAN This macro provides an example of how to use TMVA for k-folds cross evaluation.
 
file  TMVAGAexample.C
  View in nbviewer Open in SWAN This exectutable gives an example of a very simple use of the genetic algorithm of TMVA
 
file  TMVAGAexample2.C
  View in nbviewer Open in SWAN This exectutable gives an example of a very simple use of the genetic algorithm of TMVA.
 
file  TMVAMinimalClassification.C
  View in nbviewer Open in SWAN Minimal self-contained example for setting up TMVA with binary classification.
 
file  TMVAMulticlass.C
  View in nbviewer Open in SWAN This macro provides a simple example for the training and testing of the TMVA multiclass classification
 
file  TMVAMulticlassApplication.C
  View in nbviewer Open in SWAN This macro provides a simple example on how to use the trained multiclass classifiers within an analysis module
 
file  TMVAMultipleBackgroundExample.C
  View in nbviewer Open in SWAN 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
  View in nbviewer Open in SWAN This macro provides examples for the training and testing of the TMVA classifiers.
 
file  TMVARegressionApplication.C
  View in nbviewer Open in SWAN This macro provides a simple example on how to use the trained regression MVAs within an analysis module