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RegQualityEvalAlg
Samuel Gomes edited this page Jul 12, 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 predict a new learner state from a given interactions profile and evaluating the quality of that state.
RegQualityEvalAlg(playerModelBridge: PlayerModelBridge, qualityWeights: PlayerCharacteristics = {ability = 0.5, engagement = 0.5}): void| Name: expected type | Default value | Description |
|---|---|---|
| _quality_weights: PlayerCharacteristics | {ability = 0.5, engagement = 0.5} | The importance given to each characteristic when computing the quality of a state. |
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