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: everythingaws: required if one needs AWSdocs: 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.
1 maintainer
Metadata
1 maintainer
Release files for haferml 0.0.13
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| haferml-0.0.13.tar.gz | 17.2 kB | Without provenance | Details for haferml-0.0.13.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| haferml-0.0.13-py3-none-any.whl | Python 3 | none | any | Details for haferml-0.0.13-py3-none-any.whl |
Total release size: 41.2 kB
Release files / haferml-0.0.13.tar.gz
| Download URL | haferml-0.0.13.tar.gz |
|---|---|
| Size | 17.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/3.10.1 pkginfo/1.6.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.10
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Release files / haferml-0.0.13-py3-none-any.whl
| Download URL | haferml-0.0.13-py3-none-any.whl |
|---|---|
| Size | 24.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/3.10.1 pkginfo/1.6.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.10
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Security for haferml 0.0.13
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