legate-raft

legate-raft is a legate-enabled version of libraft. The project is still in an experimental state and mainly contains prototype versions of naive bayes, knn, and kmeans.

Installing

Legate-raft is available as an anaconda package and can be installed using:

conda install -c legate -c rapidsai -c conda-forge legate-raft

To include development releases add the legate/label/experimental channel.

Building

The legate-raft library depends on legate-dataframe, which in turn depends on legate and cupynumeric.

In most cases, you should not have to compile these from scratch. You can create a local development environment using conda:

conda env create -f conda/environments/all_cuda-125_arch-x86_64.yaml -n legate-raft-dev
conda activate legate-raft-dev

This will install all build and test requirements.

After this, you can build and install legate-raft using:

./build.sh

note that the install is currently not an in-place build, so you need to rebuild to test Python changes.

Usage

The main exposed algorithm are currently:

• kNN via from legate_raft.knn import run_knn
• kmeans via from legate_raft.sklearn.cluster import KMeans working similar to the sklearn version.
• naive bayes via from legate_raft.sklearn.naive_bayes import MultinomialNB

All of these and especially any further functionality should be considered to be in a prototype or exploratory stage.

Contributing

Please see our our guide for contributing to legate-raft.