ClassificationKeras Namespace Reference

Functions
def	normal (shape, name=None)

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')

Function Documentation

normal()

def ClassificationKeras.normal	(		shape,
			name = None
	)

Definition at line 41 of file ClassificationKeras.py.

Variable Documentation

background

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

Definition at line 27 of file ClassificationKeras.py.

data

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

Definition at line 25 of file ClassificationKeras.py.

dataloader

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

Definition at line 29 of file ClassificationKeras.py.

factory

ClassificationKeras.factory

Initial value:

=  TMVA.Factory('TMVAClassification', output,
        '!V:!Silent:Color:DrawProgressBar:Transformations=D,G:AnalysisType=Classification')

Definition at line 18 of file ClassificationKeras.py.

loss

ClassificationKeras.loss

Definition at line 51 of file ClassificationKeras.py.

metrics

ClassificationKeras.metrics

Definition at line 51 of file ClassificationKeras.py.

model

ClassificationKeras.model = Sequential()

Definition at line 45 of file ClassificationKeras.py.

optimizer

ClassificationKeras.optimizer

Definition at line 51 of file ClassificationKeras.py.

output

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

Definition at line 17 of file ClassificationKeras.py.

signal

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

Definition at line 26 of file ClassificationKeras.py.