HAFER ML, the homemade framework for machine learning
Project description
HAFER ML, the homemade framework for machine learning, is a simple and unambitious framework for small machine learning projects, with reproducibility in mind.
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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
hafer-0.0.1-py3.7.egg
(62.3 kB
view details)
File details
Details for the file hafer-0.0.1-py3.7.egg.
File metadata
- Download URL: hafer-0.0.1-py3.7.egg
- Upload date:
- Size: 62.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bad2fc5aeae57179fe055d15e81182e8f530fd123ad29d0d719cf6f7fa805bcf |
|
| MD5 | 67608d650dc62314b8818354a222ee1a |
|
| BLAKE2b-256 | 563a7d1f3edf4cfb8d8b0ea2ce6244497384164d39cefcb8317cb89bb4938773 |
