Hi, I wrote a Scala implementation of Annoy(https://github.com/spotify/annoy) which is an ann library.
https://github.com/mskimm/annoy4s Because building tree in Annoy is done by a single node, I thought the following solution: - building tree (index file) using `toLocalIterator` of RDD on the driver, - then quering nns on executors using the `index file` which is downloaded by `sc.addFile` Anybody reviews the code and idea? I tested this implementation in Spark 1.6.2, and it seems work. The code I tested was like ``` https://github.com/mskimm/annoy4s#item-similarity-computation ``` Minseok
