Skip to content

Conversation

jianshu93
Copy link
Contributor

A beautiful Rust implementation. I have run benchmarks for various dataset with very good performance and recall. More metric distance are supported including hamming, Hellinger distance, Jensen-Shannon distance between probability distributions (f32 and f64). There is A Trait to enable the user to implement its own distances. It takes as data slices of types T satisfying T:Serialize+Clone+Send+Sync.

A beautiful Rust implementation. I have run benchmarks for various dataset with very good performance and recall. More metric distance are supported including hamming, Hellinger distance, Jensen-Shannon distance between probability distributions (f32 and f64).  There is  A Trait to enable the user to implement its own distances. It takes as data slices of types T satisfying T:Serialize+Clone+Send+Sync.
@yurymalkov yurymalkov changed the base branch from master to develop August 21, 2022 00:34
@yurymalkov yurymalkov merged commit 0fc42b0 into nmslib:develop Aug 21, 2022
@yurymalkov
Copy link
Member

Thanks!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants