kaamiki

Kaamiki is a simple machine learning framework for obvious tasks.

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

Kaamiki

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.0.0

Oct 31, 2020

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

Uploaded Oct 31, 2020 Source

Uploaded Oct 31, 2020 Python 3

Hashes for kaamiki-0.0.0.tar.gz
Algorithm	Hash digest
SHA256	`7c035eca3f89d66a0c485d60610d103956254f3ebecdfeaab3b922c9e79a23e9`
MD5	`de29c16b41c72be8deb7d8d3b41c98ae`
BLAKE2b-256	`1c5ccc49bc3f9782f73710289d35b48849cf42eb5f81594f2613caf99b63e605`

Hashes for kaamiki-0.0.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`d5a4b4dd9b19b76767f92bf43b87e9ca82e0a327003b8d196f65ffc25da53b6f`
MD5	`d1d4ac8372768dc5c1c66fd81fa50139`
BLAKE2b-256	`e40bca403fb25b99d22615e9785143d5421f9e4e9aea24399e557ee8739b14e4`