Variables
	background = data.Get('TreeB')

	data = TFile.Open('tmva_class_example.root')

	dataloader = TMVA.DataLoader('dataset')

	factory

	loss

	metrics

	model = Sequential()

	optimizer

	output = TFile.Open('TMVA.root', 'RECREATE')

	signal = data.Get('TreeS')

Variable Documentation

◆ background

ClassificationKeras.background = data.Get('TreeB')

Definition at line 26 of file ClassificationKeras.py.

◆ data

ClassificationKeras.data = TFile.Open('tmva_class_example.root')

Definition at line 24 of file ClassificationKeras.py.

◆ dataloader

ClassificationKeras.dataloader = TMVA.DataLoader('dataset')

Definition at line 28 of file ClassificationKeras.py.

◆ factory

ClassificationKeras.factory

Initial value:

1= TMVA.Factory('TMVAClassification', output,

2 '!V:!Silent:Color:DrawProgressBar:Transformations=D,G:AnalysisType=Classification')

TMVA::Factory

This is the main MVA steering class.

Definition: Factory.h:81

Definition at line 17 of file ClassificationKeras.py.

◆ loss

ClassificationKeras.loss

Definition at line 45 of file ClassificationKeras.py.

◆ metrics

ClassificationKeras.metrics

Definition at line 46 of file ClassificationKeras.py.

◆ model

ClassificationKeras.model = Sequential()

Definition at line 40 of file ClassificationKeras.py.

◆ optimizer

ClassificationKeras.optimizer

Definition at line 46 of file ClassificationKeras.py.

◆ output

ClassificationKeras.output = TFile.Open('TMVA.root', 'RECREATE')

Definition at line 16 of file ClassificationKeras.py.

◆ signal

ClassificationKeras.signal = data.Get('TreeS')

Definition at line 25 of file ClassificationKeras.py.

Variables