Belle II Software  release-08-01-10
Public Member Functions | Protected Attributes | Private Attributes | List of all members
FANNExpert Class Reference

Expert for the FANN MVA method. More...

#include <FANN.h>

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Public Member Functions

virtual ~FANNExpert ()
 Destructor of FANN Expert.
 
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 expert onto a dataset. More...
 
virtual std::vector< std::vector< float > > applyMulticlass (Dataset &test_data) const
 Apply this m_expert onto a dataset. More...
 

Protected Attributes

GeneralOptions m_general_options
 General options loaded from the weightfile.
 

Private Attributes

FANNOptions m_specific_options
 Method specific options.
 
struct fann * m_ann = nullptr
 Pointer to FANN expert.
 

Detailed Description

Expert for the FANN MVA method.

Definition at line 109 of file FANN.h.

Member Function Documentation

◆ apply()

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

Apply this expert onto a dataset.

Parameters
test_datadataset

Implements Expert.

Definition at line 333 of file FANN.cc.

◆ applyMulticlass()

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

Apply this m_expert onto a dataset.

Multiclass mode. Not pure virtual, since not all derived classes to re-implement this.

Parameters
test_datadataset.
Returns
vector of size N=test_data.getNumberOfEvents() with N=m_classes.size() scores for each event in the dataset.

Reimplemented in TrivialExpert, TMVAExpertMulticlass, and PythonExpert.

Definition at line 56 of file Expert.h.

◆ load()

void load ( Weightfile &  weightfile)
overridevirtual

Load the expert from a Weightfile.

Parameters
weightfilecontaining all information necessary to build the expert

Implements Expert.

Definition at line 319 of file FANN.cc.

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