Project description

gpu-pairwise-jaccard

numba.cuda implementation of various pairwise distance metrics

These details have not been verified by PyPI

This version

0.0.3

Mar 25, 2021

0.0.2

Mar 23, 2021

0.0.1

Mar 16, 2021

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Mar 25, 2021 Source

Uploaded Mar 25, 2021 Python 3

Details for the file gpu-pairwise-0.0.3.tar.gz.

Download URL: gpu-pairwise-0.0.3.tar.gz
Upload date: Mar 25, 2021
Size: 3.9 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.0 importlib_metadata/3.7.3 packaging/20.4 pkginfo/1.7.0 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.1

Hashes for gpu-pairwise-0.0.3.tar.gz
Algorithm	Hash digest
SHA256	`4956badfe3b108eb306579b03d8e9f2113278543a570f2197428a2cf8f7e1978`
MD5	`a2ebc1af67941ba54ca04e3ae9aedae6`
BLAKE2b-256	`032a6619eda06c57086d8366caf2bb671cd41f41c72aeaafa7de134ebb221069`

Details for the file gpu_pairwise-0.0.3-py3-none-any.whl.

Download URL: gpu_pairwise-0.0.3-py3-none-any.whl
Upload date: Mar 25, 2021
Size: 4.8 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.0 importlib_metadata/3.7.3 packaging/20.4 pkginfo/1.7.0 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.1