An scikit-learn style implementation of Relevance Vector Machines (RVM).
Project description
Sklearn-RVM
Installation
pip install sklearn-rvm
Requirements
Python (>= 3.5)
Scikit-Learn (>= 0.21)
Documentation
Refer to the documentation to modify the template for your own scikit-learn contribution.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sklearn_rvm-0.1.1.tar.gz
(16.0 kB
view hashes)
Built Distribution
Close
Hashes for sklearn_rvm-0.1.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | aa286482b0936db5f56333caeb107e7cdbc2547026e19a05dcb1d34ab751c3b0 |
|
MD5 | 80e09bb96c01d068d6d0d3f47b3eb847 |
|
BLAKE2b-256 | 723123767252a2e13b5fef18e6effc5bfde843e3267a24f176c15347f4ed92c7 |