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GEGELATI
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Base class for storing all result of a policy evaluation within a LearningEnvironment. More...
#include <evaluationResult.h>
Public Member Functions | |
| EvaluationResult ()=delete | |
| Deleted default constructor. | |
| virtual | ~EvaluationResult ()=default |
| Virtual destructor for polymorphism. | |
| EvaluationResult (std::shared_ptr< Selector::SelectionMetrics > selectionMetrics, const size_t &nbEval) | |
| Construct a result from a simple double value. | |
| virtual std::shared_ptr< Selector::SelectionMetrics > | getSelectionMetrics () const |
| Virtual method to get the default double equivalent of the reward of the EvaluationResult. | |
| virtual size_t | getNbEvaluation () const |
| Virtual method to get the default number of evaluation of the EvaluationResult. | |
| virtual EvaluationResult & | operator+= (const EvaluationResult &other) |
| Polymorphic addition assignement operator for EvaluationResult. | |
Protected Attributes | |
| std::shared_ptr< Selector::SelectionMetrics > | selectionMetrics |
| size_t | nbEvaluation |
| Number of evaluation leading to this result. | |
Base class for storing all result of a policy evaluation within a LearningEnvironment.
To enable generic learning with the default LearningAgent, all policy evaluation must be convertible to a simple double value. For more complex LearningAgent behavior, like for classification purposes, specific child class can be created.
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inline |
Construct a result from a simple double value.
| [in] | selectionMetrics | metrics used for the selection. |
| [in] | nbEval | Integer value representing the number of evaluation leading to the recorded score. |
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virtual |
Virtual method to get the default double equivalent of the reward of the EvaluationResult.
Copyright or © or Copr. IETR/INSA - Rennes (2019 - 2025) :
Karol Desnos kdesn.nosp@m.os@i.nosp@m.nsa-r.nosp@m.enne.nosp@m.s.fr (2019 - 2020) Quentin Vacher qvach.nosp@m.er@i.nosp@m.nsa-r.nosp@m.enne.nosp@m.s.fr (2025)
GEGELATI is an open-source reinforcement learning framework for training artificial intelligence based on Tangled Program Graphs (TPGs).
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virtual |
Polymorphic addition assignement operator for EvaluationResult.
| std::runtime_error | in case the other EvaluationResult and this have a different typeid. |
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protected |
Selection Metrics register in the evaluation results.
1.10.0