Classification - using both euclidean distance and cosine similarity for inference

Context
- existing label split into 3 sub labels
- labeled historical data for existing label exists, but none for the 3 new sub labels
- idea is to use sub label description to get labeled data for the 3 sub labels
- but won't be able to get a lot of labeled data (because taggers actual role isn't to do tagging)

Given a query document, inference can be done
- option 1: using binary classifier for each sub label …

classification context cosine data datascience historical data inference labels split