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TabQualityEvalAlg
Samuel Gomes edited this page Jul 5, 2024
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This class is a child of QualityEvalAlg and abstracts regression-based quality evaluation of a group. This implies using a regression method to infer a new learner state from a given interactions profile and evaluating the quality of that state.
+ TabQualityEvalAlg(playerModelBridge: PlayerModelBridge): void| Name: expected type | Default value | Description |
|---|---|---|
| playerPrefEstimates: InteractionsProfile[] | {} | Container for all learners' preference estimations (that are updated using a PreferencesEstAlg). |
# getPlayerPreferencesEstimations(): InteractionsProfile[]This method returns all learners' estimated preferences.
This class overrides isTabular(). For this algorithm, isTabular() method returns True.
Adaptation
Group Configuration Generation
- ConfigsGenAlg
- RandomConfigsGenAlg
- PureRandomSearchConfigsGenAlg
- EvolutionaryConfigsGenAlg
- ODPIPConfigsGenAlg (exact)
- CLinkConfigsGenAlg (legacy)
Preferences Estimation
Quality Evaluation Algorithms
- QualityEvalAlg
- Group-Based Quality Evaluation:
- Regression-Based Quality Evaluation:
- Tabular Quality Evaluation:
Auxiliary Structures
- InteractionsProfile
- PlayerCharacteristics
- PlayerState
- Personality (Inherent Preference):
- PlayerStatesDataFrame
Model Bridges
Player Data Trim