We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Manhattan distance sometimes useful
https://github.com/google-research/google-research/tree/master/scann/scann/distance_measures/one_to_one https://github.com/ydb-platform/ydb/tree/main/library/cpp/l1_distance
Already done for bit (hamming)
The text was updated successfully, but these errors were encountered:
This might be interesting for i8 inputs and any other low-capacity integral types, and might be related to #100 for sparse distances
i8
Sorry, something went wrong.
l1 is picking momentum is many high dimensional usage where l2 distances are unstable.
It seems like L1 is still very niche and L2 & Angular distances are mostly used.
Would be great to see some more user requests before switching the attention from matrix multiplications.
No branches or pull requests
Manhattan distance sometimes useful
https://github.com/google-research/google-research/tree/master/scann/scann/distance_measures/one_to_one
https://github.com/ydb-platform/ydb/tree/main/library/cpp/l1_distance
Already done for bit (hamming)
The text was updated successfully, but these errors were encountered: