Expert Class Reference

Abstract base class of all Expert Each MVA library has its own implementation of this class, so all libraries can be accessed via this common interface. More...

#include <Expert.h>

Inheritance diagram for Expert:

Collaboration diagram for Expert:

Public Member Functions
	Expert ()=default
	Default constructor.
virtual void	load (Weightfile &weightfile)=0
	Load the expert from a Weightfile. More...
virtual std::vector< float >	apply (Dataset &test_data) const =0
	Apply this expert onto a dataset. More...
virtual std::vector< float >	apply (Dataset &test_data, const unsigned int classID) const
	Apply this expert onto a dataset. More...
virtual	~Expert ()=default
	Virtual destructor.

Protected Attributes
GeneralOptions	m_general_options
	General options loaded from the weightfile.

Detailed Description

Abstract base class of all Expert Each MVA library has its own implementation of this class, so all libraries can be accessed via this common interface.

Definition at line 33 of file Expert.h.

Member Function Documentation

apply() [1/2]

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

pure virtual

Apply this expert onto a dataset.

Parameters

test_data

dataset

Implemented in TMVAExpertRegression, TMVAExpertMulticlass, TMVAExpertClassification, RegressionExpert< BaseClassifierExpert, RegressionClassifierOptions >, FastBDTExpert, PythonExpert, FANNExpert, PDFExpert, ReweighterExpert, TrivialExpert, and CombinationExpert.

apply() [2/2]

virtual std::vector<float> apply ( Dataset &  test_data, const unsigned int  classID  ) const

inlinevirtual

Apply this expert onto a dataset.

Multi-class mode signature. Not pure virtual, since not all derived classes need to re-implement this.

Parameters

test_data	dataset
classID	class identifier.

Reimplemented in TMVAExpertMulticlass.

Definition at line 59 of file Expert.h.

load()

virtual void load ( Weightfile &  weightfile )

pure virtual

Load the expert from a Weightfile.

Parameters

weightfile

containing all information necessary to build the expert

Implemented in TMVAExpertRegression, TMVAExpertMulticlass, TMVAExpertClassification, TMVAExpert, RegressionExpert< BaseClassifierExpert, RegressionClassifierOptions >, FastBDTExpert, PythonExpert, FANNExpert, PDFExpert, ReweighterExpert, TrivialExpert, and CombinationExpert.

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

• mva/interface/include/Expert.h