Metadata-Version: 2.1
Name: haferml
Version: 0.0.13
Summary: HAFER ML, the homemade framework for machine learning.
Home-page: https://github.com/emptymalei/haferml
Author: L Ma
Author-email: hi@leima.is
License: MIT
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.
        
        ## Install
        
        ```
        pip install haferml
        ```
        
        This will leave out many dependencies. To install all,
        
        ```
        pip install "haferml[all]"
        ```
        
        The extras options:
        
        - `all`: everything
        - `aws`: required if one needs AWS
        - `docs`: required to build the docs
        
        
        ## The Idea
        
        The Hafer ML frameworks is designed to be a minimal framework for data scientists. Hafer ML uses config files and saves the artifacts at every step for reproducibility.
        
        ![](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)
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
Provides-Extra: tests
Provides-Extra: nose
Provides-Extra: docs
Provides-Extra: mkdocstrings
Provides-Extra: mkdocs-material
Provides-Extra: mkdocs-autorefs
Provides-Extra: aws
Provides-Extra: awscli
Provides-Extra: boto3
Provides-Extra: all
