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tmva Directory Reference
Directory dependency graph for tmva:

Directories

 envelope
 
 keras
 
 pytorch
 

Files

 createData.C
 Plot the variables.
 
 PyTorch_Generate_CNN_Model.py
 
 tmva001_RTensor.C
  View in nbviewer Open in SWAN This tutorial illustrates the basic features of the RTensor class, RTensor is a std::vector-like container with additional shape information.
 
 tmva002_RDataFrameAsTensor.C
  View in nbviewer Open in SWAN This tutorial shows how the content of an RDataFrame can be converted to an RTensor object.
 
 tmva003_RReader.C
  View in nbviewer Open in SWAN This tutorial shows how to apply with the modern interfaces models saved in TMVA XML files.
 
 tmva004_RStandardScaler.C
  View in nbviewer Open in SWAN This tutorial illustrates the usage of the standard scaler as preprocessing method.
 
 tmva100_DataPreparation.py
  View in nbviewer Open in SWAN This tutorial illustrates how to prepare ROOT datasets to be nicely readable by most machine learning methods.
 
 tmva101_Training.py
  View in nbviewer Open in SWAN This tutorial show how you can train a machine learning model with any package reading the training data directly from ROOT files.
 
 tmva102_Testing.py
  View in nbviewer Open in SWAN This tutorial illustrates how you can test a trained BDT model using the fast tree inference engine offered by TMVA and external tools such as scikit-learn.
 
 tmva103_Application.C
  View in nbviewer Open in SWAN This tutorial illustrates how you can conveniently apply BDTs in C++ using the fast tree inference engine offered by TMVA.
 
 TMVA_CNN_Classification.C
  View in nbviewer Open in SWAN TMVA Classification Example Using a Convolutional Neural Network
 
 TMVA_Higgs_Classification.C
  View in nbviewer Open in SWAN Classification example of TMVA based on public Higgs UCI dataset
 
 TMVA_RNN_Classification.C
  View in nbviewer Open in SWAN TMVA Classification Example Using a Recurrent Neural Network
 
 TMVA_SOFIE_Keras.C
  View in nbviewer Open in SWAN This macro provides a simple example for the parsing of Keras .h5 file into RModel object and further generating the .hxx header files for inference.
 
 TMVA_SOFIE_ONNX.C
  View in nbviewer Open in SWAN This macro provides a simple example for the parsing of ONNX files into RModel object and further generating the .hxx header files for inference.
 
 TMVA_SOFIE_PyTorch.C
  View in nbviewer Open in SWAN This macro provides a simple example for the parsing of PyTorch .pt file into RModel object and further generating the .hxx header files for inference.
 
 TMVAClassification.C
  View in nbviewer Open in SWAN This macro provides examples for the training and testing of the TMVA classifiers.
 
 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
 
 TMVAClassificationCategory.C
  View in nbviewer Open in SWAN This macro provides examples for the training and testing of the TMVA classifiers in categorisation mode.
 
 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
 
 TMVACrossValidation.C
  View in nbviewer Open in SWAN This macro provides an example of how to use TMVA for k-folds cross evaluation.
 
 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.
 
 TMVACrossValidationRegression.C
  View in nbviewer Open in SWAN This macro provides an example of how to use TMVA for k-folds cross evaluation.
 
 TMVAGAexample.C
  View in nbviewer Open in SWAN This executable gives an example of a very simple use of the genetic algorithm of TMVA
 
 TMVAGAexample2.C
  View in nbviewer Open in SWAN This executable gives an example of a very simple use of the genetic algorithm of TMVA.
 
 TMVAMinimalClassification.C
  View in nbviewer Open in SWAN Minimal self-contained example for setting up TMVA with binary classification.
 
 TMVAMulticlass.C
  View in nbviewer Open in SWAN This macro provides a simple example for the training and testing of the TMVA multiclass classification
 
 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
 
 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 algorithm.
 
 TMVARegression.C
  View in nbviewer Open in SWAN This macro provides examples for the training and testing of the TMVA classifiers.
 
 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