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Reference Guide
Functions | Variables
RegressionKeras Namespace Reference

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')
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.