Expert for the TMVA Multiclass MVA method. More...

#include <TMVA.h>

Inheritance diagram for TMVAExpertMulticlass:

Collaboration diagram for TMVAExpertMulticlass:

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Public Member Functions
virtual void	load (Weightfile &weightfile) override
	Load the expert from a Weightfile. More...

virtual std::vector< float >	apply (Dataset &test_data) const override
	Apply this m_expert onto a dataset. More...

virtual std::vector< float >	apply (Dataset &test_data, const unsigned int classID) const override
	Apply this expert onto a dataset. More...

Protected Attributes
TMVAOptionsMulticlass	specific_options
	Method specific options.

std::unique_ptr< TMVA::Reader >	m_expert
	TMVA::Reader pointer.

std::vector< float >	m_input_cache
	Input Cache for TMVA::Reader: Otherwise we would have to set the branch addresses in each apply call.

std::vector< float >	m_spectators_cache
	Spectators Cache for TMVA::Reader: Otherwise we would have to set the branch addresses in each apply call.

GeneralOptions	m_general_options
	General options loaded from the weightfile.

Detailed Description

Expert for the TMVA Multiclass MVA method.

Definition at line 341 of file TMVA.h.

Member Function Documentation

virtual std::vector<float> apply ( Dataset & test_data ) const

inlineoverridevirtual

Apply this m_expert onto a dataset.

Parameters

test_data dataset

Implements Expert.

Definition at line 354 of file TMVA.h.

       {
         (void) test_data;
         return std::vector<float>();
       };

overridevirtual

Apply this expert onto a dataset.

Multi-class mode signature.

Parameters

test_data	dataset
classID	class identifier.

Reimplemented from Expert.

Definition at line 587 of file TMVA.cc.

void load ( Weightfile & weightfile )

overridevirtual

Load the expert from a Weightfile.

Parameters

weightfile containing all information necessary to build the m_expert

Reimplemented from TMVAExpert.

Definition at line 506 of file TMVA.cc.

The documentation for this class was generated from the following files: