icrlearn 0.0.1

A scikit-learn compatible package for intra-class rarity models.

intra-class-rare-learn - A scikit-learn compatible intra-class rarity learning package

intra-class-rare-learn is a scikit-learn compatible intra-class rarity learning package. It is based on the template project for scikit-learn compatible extensions, but was modified to use uv instead of pixi.

Installation

The package can be installed directly from GitHub using uv with uv add icrlearn git+https://github.com/jannewer/intra-class-rare-learn.git

Documentation

Documentation is available at https://jannewer.github.io/intra-class-rare-learn/

Development

For development, make sure you have uv installed: https://docs.astral.sh/uv/getting-started/installation/

Afterwards, you can do the following:

• run the tests with uv run task test
• build the documentation with uv run task build-doc
• run black formatting with uv run task black
• run ruff linting and formatting with uv run task ruff
• run both black and ruff with uv run task lint