| Candidate event | Wyvern records each candidate passed into Wyvern from it’s caller. | 1. The entity id (ie product_id)
2. The entity score (from your search, OpenSearch or algolia)
3. The candidate order (from from your search) |
| Feature event | Wyvern records each feature generated for the purposes of evaluating model | 1. The entity id (ie product_id)
2. The feature identifier (ie what entity the feature corresponds to.. for example the entity’s brand, or query:product)
3. feature name
4. feature value |
| Model event | Wyvern records the model scores for each candidate. This includes the actual predictions for each model that’s evaluated, including the ensembling of multiple models | 1. The entity id
2. The model source
3. The model generated score |
| Business logic event | Wyvern records each candidate which had business logic applied to it. whether the ML model results was modified or not and what was change was) | 1. The entity id (ie product_id)
2. The business logic application source
3. The original candidate score
4. The adjusted candidate score |
| Impression event | Wyvern records the final scores for each candidate, after it has gone through Model Scoring and Business logic pipelines | 1. Impression id
2. Impression type
3. Impression order (this will be 0 for non-ranking situations)
4. Impression score |
| Custom event | Wyvern records your custom event data. See Custom Logging to see how to build a custom event log | 1. The custom entity id
2. The custom entity identifier type
3. custom data |
