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Give user a ranked list of their samples, by priority of which to send for annotation in a way that will help improve their model the most.
Possible ways to do this:
Find dense clusters of data with no labels
If comparing train to test, find what information is "new" in test (meaning, similar data does not exist in train)
Find clusters of data with high loss in train, which could benefit from more labels
Requires design - is this a regular check, or some other feature?
The text was updated successfully, but these errors were encountered:
nirhutnik
added
feature
Feature update or code change to the package
ds
Tasks suited for Data Scientists
nlp
Affects deepchecks.nlp package
labels
Mar 7, 2023
Give user a ranked list of their samples, by priority of which to send for annotation in a way that will help improve their model the most.
Possible ways to do this:
Requires design - is this a regular check, or some other feature?
The text was updated successfully, but these errors were encountered: