Skip to main content

HAFER ML, the homemade framework for machine learning.

Project description

# Hafer ML

The HomemAde FramEwoRk for Machine Learning (HAFER ML) is a minimal and unambitious framework for your machine learning projects, with reproducibility in mind.

> Hafer is oat in German.

## The Idea

The Hafer ML frameworks is very simple. It is a minimal framework that I have been applying to small projects. Hafer ML save the artifacts at every step to make it easy to reproduce. The tool we choose to make it reproducible is Docker.

![](https://datumorphism.leima.is/blog/data-science/assets/a-simple-machine-learning-framework/simple_framework_ml_projects.png) > [on whimsical](https://whimsical.com/hafer-ml-WMGCWpDixJG9S3PAFWey1i)

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

haferml-0.0.1.tar.gz (13.7 kB view hashes)

Uploaded Source

Built Distributions

haferml-0.0.1-py3.7.egg (70.8 kB view hashes)

Uploaded Source

haferml-0.0.1-py3-none-any.whl (34.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page