Belle II Software light-2406-ragdoll
Expert.h
1/**************************************************************************
2 * basf2 (Belle II Analysis Software Framework) *
3 * Author: The Belle II Collaboration *
4 * *
5 * See git log for contributors and copyright holders. *
6 * This file is licensed under LGPL-3.0, see LICENSE.md. *
7 **************************************************************************/
8
9#pragma once
10#ifndef INCLUDE_GUARD_BELLE2_MVA_EXPERT_HEADER
11#define INCLUDE_GUARD_BELLE2_MVA_EXPERT_HEADER
12
13#include <mva/interface/Options.h>
14#include <mva/interface/Dataset.h>
15#include <mva/interface/Weightfile.h>
16
17#include <vector>
18
19namespace Belle2 {
24 namespace MVA {
25
31 class Expert {
32 public:
36 Expert() = default;
37
42 virtual void load(Weightfile& weightfile) = 0;
43
48 virtual std::vector<float> apply(Dataset& test_data) const = 0;
49
56 virtual std::vector<std::vector<float>> applyMulticlass(Dataset& test_data) const
57 {
58
59 B2ERROR("Attempted to call applyMulticlass() of the abstract base class MVA::Expert. All methods that support multiclass classification should override this definition.");
60 (void) test_data;
61
62 return std::vector<std::vector<float>>();
63 };
64
68 virtual ~Expert() = default;
69 protected:
71 };
72
73 }
75}
76#endif
Abstract base class of all Datasets given to the MVA interface The current event can always be access...
Definition: Dataset.h:33
Abstract base class of all Expert Each MVA library has its own implementation of this class,...
Definition: Expert.h:31
virtual std::vector< float > apply(Dataset &test_data) const =0
Apply this expert onto a dataset.
GeneralOptions m_general_options
General options loaded from the weightfile.
Definition: Expert.h:70
Expert()=default
Default constructor.
virtual std::vector< std::vector< float > > applyMulticlass(Dataset &test_data) const
Apply this m_expert onto a dataset.
Definition: Expert.h:56
virtual void load(Weightfile &weightfile)=0
Load the expert from a Weightfile.
virtual ~Expert()=default
Virtual destructor.
General options which are shared by all MVA trainings.
Definition: Options.h:62
The Weightfile class serializes all information about a training into an xml tree.
Definition: Weightfile.h:38
Abstract base class for different kinds of events.
Definition: ClusterUtils.h:24