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Eval result dataframe is missing confidence scores of model predictions #3887

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Timoeller opened this issue Jan 18, 2023 · 0 comments
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1.x P2 Medium priority, add to the next sprint if no P1 available topic:eval topic:pipeline topic:retriever type:feature New feature or request wontfix This will not be worked on

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@Timoeller
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Is your feature request related to a problem? Please describe.
When evaluating I want to see scores (confidence scores) associated with each model prediction.
With these scores, you can determine thresholds for only showing good model predictions. This is useful if you configure a search system for non technical endusers and want to filter predictions below a certain threshold.

Unfortunately, pipeline.eval results do not contain those scores.

Describe the solution you'd like
Please add the model prediction scores to the pipeline.eval results.
Tagging @sjrl since he experienced the same issue, as well as @tstadel because he might know a quick fix for this. :D

@masci masci added the P2 Medium priority, add to the next sprint if no P1 available label Jan 25, 2023
@sjrl sjrl self-assigned this May 4, 2023
@masci masci unassigned sjrl Sep 26, 2023
@masci masci added the wontfix This will not be worked on label Dec 18, 2023
@masci masci closed this as completed Dec 18, 2023
@masci masci added the 1.x label Dec 18, 2023
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Labels
1.x P2 Medium priority, add to the next sprint if no P1 available topic:eval topic:pipeline topic:retriever type:feature New feature or request wontfix This will not be worked on
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