A fast Tsetlin Machine impl, based on c++
Project description
green_tsetlin
green_tsetlin let you easily train and do inference on a Coalesced Tsetlin Machine. It is CPU based and will use AVX2 / NEON instrics in the backend if available.
The package does not provide all bells and whistles a Tsetlin Machine can have, instead it support a carefully selected subset of features. As such, once we reach version 1, then the API will be stable.
If you want the lastest research features the TMU project is the place to go. This project is intended to by tested, stable and intended more toward production.
Examples
See the examples directory for jupyter-notebook examples on how to use green_tsetlin. TODO: add the mentioned examples :P
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file green_tsetlin-0.1.4.tar.gz.
File metadata
- Download URL: green_tsetlin-0.1.4.tar.gz
- Upload date:
- Size: 288.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d1b726dc292639852d774f5914f08a655231abfc35421faa56b1489e61d2b428 |
|
| MD5 | 6a9147ef272018491b5eb78f0d75d431 |
|
| BLAKE2b-256 | d93fec5d748c97fe7b15b6d3152d18b7f3eecb0a952688a22841482f6ec61ffe |
