Comments (3)
fgregg
commented on May 22, 2024
We probably don't want to do much global pre-processing, but we may want to do field specific pre-processing. Particularly, we may want to
- remove low tf/idf tokens.
- canonicalize addresses (rd -> road; w. -> west)
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derekeder
commented on May 22, 2024
Consider comparisons between accented and un-accented characters. Should we resolve them to the same alphanumeric characters? See: http://www.crummy.com/software/map/ASCII,+Dammit
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derekeder
commented on May 22, 2024
leave this up to the user. we can not make a generic decision as to characters that should be ignored. this will be covered in the documentation
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Related Issues (20)
- ValueError in `numpy.concatenate` during active labeling in Record Linkage and Gazeteer examples HOT 2
- Syntax Error in dedupe/api.py HOT 1
- Dedupe prepare_training() error for more than 5K records HOT 1
- Is incremental clustering supported? HOT 3
- memory leak
- memory leak HOT 2
- PermissionError: [WinError 32] The process cannot access the file because it is being used by another process HOT 3
- raise BlockingError( dedupe.core.BlockingError: No records have been blocked together. Is the data you are trying to match like the data you trained on? If so, try adding more training data.
- About CanopyIndex implementation HOT 1
- About Inverse Document Frequency implementation HOT 1
- Levenshtein_search GPL 3-licensed Revisited HOT 4
- Installation breaks because Levenshtein_search version 1.4.5 is no more listed on PyPi HOT 5
- Improve typing of Data
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- New Index Predicate types using Embeddings
- extend index predicates to whole model
- Doc update to add reference for cluster scoring
- Can't import 'dedupe_dataframe' because of numpy HOT 1
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