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https://github.com/koaning/scikit-lego
Extra blocks for scikit-learn pipelines.
https://github.com/koaning/scikit-lego
common-sense machine-learning scikit-learn
Last synced: about 2 months ago
JSON representation
Extra blocks for scikit-learn pipelines.
- Host: GitHub
- URL: https://github.com/koaning/scikit-lego
- Owner: koaning
- License: mit
- Created: 2019-01-21T15:30:15.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-07-28T20:54:19.000Z (about 2 months ago)
- Last Synced: 2024-07-28T21:52:48.343Z (about 2 months ago)
- Topics: common-sense, machine-learning, scikit-learn
- Language: Python
- Homepage: https://koaning.github.io/scikit-lego/
- Size: 25.2 MB
- Stars: 1,220
- Watchers: 27
- Forks: 116
- Open Issues: 34
-
Metadata Files:
- Readme: docs/README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- awesome-list - scikit-lego - Extra blocks for scikit-learn pipelines. (Machine Learning Framework / General Purpose Framework)
- awesome-python-machine-learning-resources - GitHub - 9% open · ⏱️ 18.08.2022): (Sklearn实用程序)
README
# Docs readme
The docs folder contains the documentation for the scikit-lego package.
The documentation is generated using [Material for MkDocs][mkdocs-material], its extensions and a few plugins.
In particular the `mkdocstrings-python` is used for API rendering.## Render locally
To render the documentation locally, you can run the following command from the root of the repository:
```console
make docs
```Then the documentation page will be available at [localhost][localhost].
## Remark
The majority of code and code generate plots in the documentation is generated using the scripts in the `docs/_scripts` folder,
and accessed via the [pymdown snippets][pymdown-snippets] extension.To generate the plots from scratch it is enough to run the following command from the root of the repository:
```console
cd docs
make generate-all
```which will run all the scripts and save results in the `docs/_static` folder.
[mkdocs-material]: https://squidfunk.github.io/mkdocs-material/
[pymdown-snippets]: https://facelessuser.github.io/pymdown-extensions/extensions/snippets/
[localhost]: http://localhost:8000/