sklearn-rvm

An scikit-learn style implementation of Relevance Vector Machines (RVM).

Project description

pip install sklearn-rvm

Refer to the documentation to modify the template for your own scikit-learn contribution.

This version

0.1.1

Mar 23, 2020

0.1

Jan 24, 2020

0.0.3

Jan 24, 2020

0.0.2

Nov 28, 2019

0.0.1

Nov 13, 2019

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

Uploaded Mar 23, 2020 source

Uploaded Mar 23, 2020 py3

Hashes for sklearn_rvm-0.1.1.tar.gz
Algorithm	Hash digest
SHA256	`93fb6b559ffbdec56ce2a764bddcfe1a2761393c563b3fce941a245d0af39c92`
MD5	`8b58981b3e9917d20cd2a65ce5bf9ee8`
BLAKE2-256	`69ce046b61fc00d2cd1cc88feab95c3469fa9adb1cc356874cba5e4c4f906b34`

Hashes for sklearn_rvm-0.1.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`aa286482b0936db5f56333caeb107e7cdbc2547026e19a05dcb1d34ab751c3b0`
MD5	`80e09bb96c01d068d6d0d3f47b3eb847`
BLAKE2-256	`723123767252a2e13b5fef18e6effc5bfde843e3267a24f176c15347f4ed92c7`