/bayescache

Save cache, Bae will love you.

Primary LanguageJupyter NotebookMIT LicenseMIT


https://badge.fury.io/py/bayescache.png https://travis-ci.org/yngtodd/bayescache.png?branch=master

BayesCache

Save cache, Bae will you love you.

This project owes a great debt to the Vel project from MillionIntegrals. I have basically been pulling apart his API to better understand it. As of right now, this API is nearly identical to that project. Things may be adapted and diverge from Vel as time goes on in order to suit specific needs.

Documentation

For references, tutorials, and examples check out our documentation.

Usage

The command line interface for BayesCache is as follows:

python -m bayescache.launch CONFIGFILE COMMAND --device PYTORCH_DEVICE -r RUN_NUMBER -s SEED

Installation

From Sources:

You can either clone the public repository:

git clone git://github.com/yngtodd/bayescache

Or download the tarball:

curl  -OL https://github.com/yngtodd/bayescache/tarball/master

Once you have a copy of the source, you can install it with:

python setup.py install