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
1 maintainer
Metadata
1 maintainer
Release files for icrlearn 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| icrlearn-0.0.1.tar.gz | 1.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| icrlearn-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.1 MB
Release files / icrlearn-0.0.1.tar.gz
| Download URL | icrlearn-0.0.1.tar.gz |
|---|---|
| Size | 1.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.20
|
Release files / icrlearn-0.0.1-py3-none-any.whl
| Download URL | icrlearn-0.0.1-py3-none-any.whl |
|---|---|
| Size | 17.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.20
|
