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ATM we use NearestNeighbors with the l2 distance.
if we could choose the distance to use, then using MinHash as the text encoder and "hamming" as the distance would be an approximation of 1 - Jaccard similarity, which I believed is a common choice for fuzzy joining
Feature Description
the Joiner would have a "metric" or "distance" parameter that would be forwarded to NearestNeighbors metric
Alternative Solutions
No response
Additional Context
No response
The text was updated successfully, but these errors were encountered:
if we could choose the distance to use, then using MinHash as the text encoder and "hamming" as the distance would be an approximation of 1 - Jaccard similarity, which I believed is a common choice for fuzzy joining
Let's first benchmark whether it is actually useful before implementing this
Problem Description
ATM we use NearestNeighbors with the l2 distance.
if we could choose the distance to use, then using MinHash as the text encoder and "hamming" as the distance would be an approximation of 1 - Jaccard similarity, which I believed is a common choice for fuzzy joining
Feature Description
the Joiner would have a "metric" or "distance" parameter that would be forwarded to NearestNeighbors metric
Alternative Solutions
No response
Additional Context
No response
The text was updated successfully, but these errors were encountered: