Functions
def	normal (shape, name=None)

Variables
	data = TFile.Open('tmva_reg_example.root')

	dataloader = TMVA.DataLoader('dataset')

	factory

	loss

	model = Sequential()

	name = branch.GetName()

	optimizer

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

	tree = data.Get('TreeR')

Function Documentation

◆ normal()

def RegressionKeras.normal	(	shape,
		name = `None`
	)

Definition at line 42 of file RegressionKeras.py.

Variable Documentation

◆ data

RegressionKeras.data = TFile.Open('tmva_reg_example.root')

Definition at line 25 of file RegressionKeras.py.

◆ dataloader

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

Definition at line 28 of file RegressionKeras.py.

◆ factory

RegressionKeras.factory

Initial value:

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

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

TMVA::Factory

This is the main MVA steering class.

Definition: Factory.h:81

Definition at line 18 of file RegressionKeras.py.

◆ loss

RegressionKeras.loss

Definition at line 52 of file RegressionKeras.py.

◆ model

RegressionKeras.model = Sequential()

Definition at line 46 of file RegressionKeras.py.

◆ name

RegressionKeras.name = branch.GetName()

Definition at line 30 of file RegressionKeras.py.

◆ optimizer

RegressionKeras.optimizer

Definition at line 52 of file RegressionKeras.py.

◆ output

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

Definition at line 17 of file RegressionKeras.py.

◆ tree

RegressionKeras.tree = data.Get('TreeR')

Definition at line 26 of file RegressionKeras.py.

Functions

Variables