JsMVA.Factory Namespace Reference

Factory module with the functions to be inserted to TMVA::Factory class and helper functions and classes. More...

Classes
class	TreeReader
	Helper class for reading decision tree from XML file. More...

Functions
def	GetMethodObject (fac, datasetName, methodName)
	Getting method object from factory. More...
def	GetDeepNetwork (xml_file)
	Reads deep neural network weights from file and returns it in JSON format. More...
def	GetNetwork (xml_file)
	Reads neural network weights from file and returns it in JSON format. More...
def	DrawROCCurve (fac, datasetName)
	Draw ROC curve. More...
def	DrawOutputDistribution (fac, datasetName, methodName)
	Draw output distributions. More...
def	DrawProbabilityDistribution (fac, datasetName, methodName)
	Draw output probability distribution. More...
def	DrawCutEfficiencies (fac, datasetName, methodName)
	Draw cut efficiencies. More...
def	DrawNeuralNetwork (fac, datasetName, methodName)
	Draw neural network. More...
def	DrawDecisionTree (fac, datasetName, methodName)
	Draw deep neural network. More...
def	ChangeTrainAllMethods (fac)
	Rewrite function for TMVA::Factory::TrainAllMethods. More...
def	ChangeCallOriginal__init__ (args, kwargs)
	Rewrite the constructor of TMVA::Factory. More...
def	ChangeCallOriginalBookMethod (args, kwargs)
	Rewrite TMVA::Factory::BookMethod. More...
def	ChangeCallOriginalEvaluateImportance (args, kwargs)
	Rewrite the constructor of TMVA::Factory::EvaluateImportance. More...
def	ChangeCallOriginalCrossValidate (args, kwargs)
	Rewrite the constructor of TMVA::Factory::CrossValidate. More...
def	BookDNN (self, loader, title="DNN")
	Graphical interface for booking DNN. More...

Detailed Description

Factory module with the functions to be inserted to TMVA::Factory class and helper functions and classes.

Authors

Attila Bagoly batti.nosp@m.la93.nosp@m.@gmai.nosp@m.l.co.nosp@m.m

Function Documentation

def JsMVA.Factory.BookDNN	(		self,
			loader,
			title = "DNN"
	)

Graphical interface for booking DNN.

Definition at line 676 of file Factory.py.

def JsMVA.Factory.ChangeCallOriginal__init__	(		args,
			kwargs
	)

Rewrite the constructor of TMVA::Factory.

Definition at line 595 of file Factory.py.

def JsMVA.Factory.ChangeCallOriginalBookMethod	(		args,
			kwargs
	)

Rewrite TMVA::Factory::BookMethod.

Definition at line 607 of file Factory.py.

def JsMVA.Factory.ChangeCallOriginalCrossValidate	(		args,
			kwargs
	)

Rewrite the constructor of TMVA::Factory::CrossValidate.

Definition at line 641 of file Factory.py.

def JsMVA.Factory.ChangeCallOriginalEvaluateImportance	(		args,
			kwargs
	)

Rewrite the constructor of TMVA::Factory::EvaluateImportance.

Definition at line 630 of file Factory.py.

def JsMVA.Factory.ChangeTrainAllMethods

(

fac

)

Rewrite function for TMVA::Factory::TrainAllMethods.

This function provides interactive training.

Parameters

fac	the factory object pointer

Definition at line 443 of file Factory.py.

def JsMVA.Factory.DrawCutEfficiencies	(		fac,
			datasetName,
			methodName
	)

Draw cut efficiencies.

Parameters

fac	the object pointer
datasetName	the dataset name
methodName	we want to see the cut efficiencies of this method

Definition at line 227 of file Factory.py.

def JsMVA.Factory.DrawDecisionTree	(		fac,
			datasetName,
			methodName
	)

Draw deep neural network.

Parameters

fac	the object pointer
datasetName	the dataset name
methodName	we want to see the deep network created by this method

Definition at line 412 of file Factory.py.

def JsMVA.Factory.DrawNeuralNetwork	(		fac,
			datasetName,
			methodName
	)

Draw neural network.

Parameters

fac	the object pointer
datasetName	the dataset name
methodName	we want to see the network created by this method

Definition at line 398 of file Factory.py.

def JsMVA.Factory.DrawOutputDistribution	(		fac,
			datasetName,
			methodName
	)

Draw output distributions.

Parameters

fac	the object pointer
datasetName	the dataset name
methodName	we want to see the output distribution of this method

Definition at line 195 of file Factory.py.

def JsMVA.Factory.DrawProbabilityDistribution	(		fac,
			datasetName,
			methodName
	)

Draw output probability distribution.

Parameters

fac	the object pointer
datasetName	the dataset name
methodName	we want to see the output probability distribution of this method

Definition at line 211 of file Factory.py.

def JsMVA.Factory.DrawROCCurve	(		fac,
			datasetName
	)

Draw ROC curve.

Parameters

fac	the object pointer
datasetName	the dataset name

Definition at line 187 of file Factory.py.

def JsMVA.Factory.GetDeepNetwork

(

xml_file

)

Reads deep neural network weights from file and returns it in JSON format.

Parameters

xml_file

path to DNN weight file

Definition at line 41 of file Factory.py.

def JsMVA.Factory.GetMethodObject	(		fac,
			datasetName,
			methodName
	)

Getting method object from factory.

Parameters

fac	the TMVA::Factory object
datasetName	selecting the dataset
methodName	which method we want to get

Definition at line 23 of file Factory.py.

def JsMVA.Factory.GetNetwork

(

xml_file

)

Reads neural network weights from file and returns it in JSON format.

Parameters

xml_file

path to weight file

Definition at line 74 of file Factory.py.