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: 4 days ago
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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 (almost 6 years ago)
• Default Branch: main
• Last Pushed: 2024-12-30T11:26:00.000Z (12 days ago)
• Last Synced: 2024-12-31T14:07:11.383Z (11 days ago)
• Topics: common-sense, machine-learning, scikit-learn
• Language: Python
• Homepage: https://koaning.github.io/scikit-lego/
• Size: 28.5 MB
• Stars: 1,291
• Watchers: 22
• Forks: 119
• Open Issues: 38
• 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)
• StarryDivineSky - koaning/scikit-lego - lego是一个为 scikit-learn 提供额外功能的 Python 库，它包含自定义的转换器、度量指标和模型，旨在简化机器学习工作流程。该库提供各种数据集加载器、数据处理工具、虚拟模型和线性模型，例如用于公平性约束的 DemographicParityClassifier，以及用于时间序列分析的 add_lags 函数。你可以像使用 scikit-learn 一样使用 scikit-lego 中的组件，通过 pip 或 conda 安装，并参考其文档了解更多信息。 (其他_机器学习与深度学习)

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/