arkas


Namearkas JSON
Version 0.0.1a15 PyPI version JSON
download
home_pagehttps://github.com/durandtibo/arkas
SummaryLibrary to evaluate ML model performances
upload_time2025-01-12 20:54:10
maintainerNone
docs_urlNone
authorThibaut Durand
requires_python<3.13,>=3.9
licenseBSD-3-Clause
keywords ml model evaluation classification regression
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # arkas

<p align="center">
    <a href="https://github.com/durandtibo/arkas/actions">
        <img alt="CI" src="https://github.com/durandtibo/arkas/workflows/CI/badge.svg">
    </a>
    <a href="https://github.com/durandtibo/arkas/actions">
        <img alt="Nightly Tests" src="https://github.com/durandtibo/arkas/workflows/Nightly%20Tests/badge.svg">
    </a>
    <a href="https://github.com/durandtibo/arkas/actions">
        <img alt="Nightly Package Tests" src="https://github.com/durandtibo/arkas/workflows/Nightly%20Package%20Tests/badge.svg">
    </a>
    <br/>
    <a href="https://durandtibo.github.io/arkas/">
        <img alt="Documentation" src="https://github.com/durandtibo/arkas/workflows/Documentation%20(stable)/badge.svg">
    </a>
    <a href="https://durandtibo.github.io/arkas/dev/">
        <img alt="Documentation" src="https://github.com/durandtibo/arkas/workflows/Documentation%20(unstable)/badge.svg">
    </a>
    <br/>
    <a href="https://codecov.io/gh/durandtibo/arkas">
        <img alt="Codecov" src="https://codecov.io/gh/durandtibo/arkas/branch/main/graph/badge.svg">
    </a>
    <a href="https://codeclimate.com/github/durandtibo/arkas/maintainability">
        <img src="https://api.codeclimate.com/v1/badges/bc15147bbdd318137184/maintainability" />
    </a>
    <a href="https://codeclimate.com/github/durandtibo/arkas/test_coverage">
        <img src="https://api.codeclimate.com/v1/badges/bc15147bbdd318137184/test_coverage" />
    </a>
    <br/>
    <a href="https://github.com/psf/black">
        <img  alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg">
    </a>
    <a href="https://google.github.io/styleguide/pyguide.html#s3.8-comments-and-docstrings">
        <img  alt="Doc style: google" src="https://img.shields.io/badge/%20style-google-3666d6.svg">
    </a>
    <a href="https://github.com/astral-sh/ruff">
        <img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json" alt="Ruff" style="max-width:100%;">
    </a>
    <a href="https://github.com/guilatrova/tryceratops">
        <img  alt="Doc style: google" src="https://img.shields.io/badge/try%2Fexcept%20style-tryceratops%20%F0%9F%A6%96%E2%9C%A8-black">
    </a>
    <br/>
    <a href="https://pypi.org/project/arkas/">
        <img alt="PYPI version" src="https://img.shields.io/pypi/v/arkas">
    </a>
    <a href="https://pypi.org/project/arkas/">
        <img alt="Python" src="https://img.shields.io/pypi/pyversions/arkas.svg">
    </a>
    <a href="https://opensource.org/licenses/BSD-3-Clause">
        <img alt="BSD-3-Clause" src="https://img.shields.io/pypi/l/arkas">
    </a>
    <br/>
    <a href="https://pepy.tech/project/arkas">
        <img  alt="Downloads" src="https://static.pepy.tech/badge/arkas">
    </a>
    <a href="https://pepy.tech/project/arkas">
        <img  alt="Monthly downloads" src="https://static.pepy.tech/badge/arkas/month">
    </a>
    <br/>
</p>

## Overview

`arkas` is a simple Python library to evaluate ML model performances.

## Installation

We highly recommend installing
a [virtual environment](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/).
`arkas` can be installed from pip using the following command:

```shell
pip install arkas
```

To make the package as slim as possible, only the minimal packages required to use `arkas` are
installed.
To include all the dependencies, you can use the following command:

```shell
pip install arkas[all]
```

Please check the [get started page](https://durandtibo.github.io/arkas/get_started) to see how to
install only some specific dependencies or other alternatives to install the library.
The following is the corresponding `arkas` versions and tested dependencies.

| `arkas` | `coola`        | `grizz`      | `iden`       | `matplotlib` | `numpy`       | `objectory`  | `polars`     | `scikit-learn` | `python`      |
|---------|----------------|--------------|--------------|--------------|---------------|--------------|--------------|----------------|---------------|
| `main`  | `>=0.8.2,<1.0` | `>=0.1,<1.0` | `>=0.1,<1.0` | `>=3.6,<4.0` | `>=1.22,<2.0` | `>=0.2,<1.0` | `>=1.0,<2.0` | `>=1.3,<2.0`   | `>=3.9,<3.13` |

| `arkas` | `colorlog`<sup>*</sup> | `hya`<sup>*</sup> | `markdown`<sup>*</sup> | `plotly`<sup>*</sup> | `scipy`<sup>*</sup> | `tqdm`<sup>*</sup> |
|---------|------------------------|-------------------|------------------------|----------------------|---------------------|--------------------|
| `main`  | `>=6.7,<7.0`           | `>=0.2,<1.0`      | `>=3.4,<4.0`           | `>=5.24.0,<6.0`      | `>=1.10,<2.0`       | `>=4.65,<5.0`      |

<sup>*</sup> indicates an optional dependency

## Contributing

Please check the instructions in [CONTRIBUTING.md](.github/CONTRIBUTING.md).

## Suggestions and Communication

Everyone is welcome to contribute to the community.
If you have any questions or suggestions, you can
submit [Github Issues](https://github.com/durandtibo/arkas/issues).
We will reply to you as soon as possible. Thank you very much.

## API stability

:warning: While `arkas` is in development stage, no API is guaranteed to be stable from one
release to the next.
In fact, it is very likely that the API will change multiple times before a stable 1.0.0 release.
In practice, this means that upgrading `arkas` to a new version will possibly break any code that
was using the old version of `arkas`.

## License

`arkas` is licensed under BSD 3-Clause "New" or "Revised" license available in [LICENSE](LICENSE)
file.

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/durandtibo/arkas",
    "name": "arkas",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<3.13,>=3.9",
    "maintainer_email": null,
    "keywords": "ML model, evaluation, classification, regression",
    "author": "Thibaut Durand",
    "author_email": "durand.tibo+gh@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/30/f9/1a250ae8ca981035949232d721b3e48def05d8ec9a65e453e4763b85145d/arkas-0.0.1a15.tar.gz",
    "platform": null,
    "description": "# arkas\n\n<p align=\"center\">\n    <a href=\"https://github.com/durandtibo/arkas/actions\">\n        <img alt=\"CI\" src=\"https://github.com/durandtibo/arkas/workflows/CI/badge.svg\">\n    </a>\n    <a href=\"https://github.com/durandtibo/arkas/actions\">\n        <img alt=\"Nightly Tests\" src=\"https://github.com/durandtibo/arkas/workflows/Nightly%20Tests/badge.svg\">\n    </a>\n    <a href=\"https://github.com/durandtibo/arkas/actions\">\n        <img alt=\"Nightly Package Tests\" src=\"https://github.com/durandtibo/arkas/workflows/Nightly%20Package%20Tests/badge.svg\">\n    </a>\n    <br/>\n    <a href=\"https://durandtibo.github.io/arkas/\">\n        <img alt=\"Documentation\" src=\"https://github.com/durandtibo/arkas/workflows/Documentation%20(stable)/badge.svg\">\n    </a>\n    <a href=\"https://durandtibo.github.io/arkas/dev/\">\n        <img alt=\"Documentation\" src=\"https://github.com/durandtibo/arkas/workflows/Documentation%20(unstable)/badge.svg\">\n    </a>\n    <br/>\n    <a href=\"https://codecov.io/gh/durandtibo/arkas\">\n        <img alt=\"Codecov\" src=\"https://codecov.io/gh/durandtibo/arkas/branch/main/graph/badge.svg\">\n    </a>\n    <a href=\"https://codeclimate.com/github/durandtibo/arkas/maintainability\">\n        <img src=\"https://api.codeclimate.com/v1/badges/bc15147bbdd318137184/maintainability\" />\n    </a>\n    <a href=\"https://codeclimate.com/github/durandtibo/arkas/test_coverage\">\n        <img src=\"https://api.codeclimate.com/v1/badges/bc15147bbdd318137184/test_coverage\" />\n    </a>\n    <br/>\n    <a href=\"https://github.com/psf/black\">\n        <img  alt=\"Code style: black\" src=\"https://img.shields.io/badge/code%20style-black-000000.svg\">\n    </a>\n    <a href=\"https://google.github.io/styleguide/pyguide.html#s3.8-comments-and-docstrings\">\n        <img  alt=\"Doc style: google\" src=\"https://img.shields.io/badge/%20style-google-3666d6.svg\">\n    </a>\n    <a href=\"https://github.com/astral-sh/ruff\">\n        <img src=\"https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json\" alt=\"Ruff\" style=\"max-width:100%;\">\n    </a>\n    <a href=\"https://github.com/guilatrova/tryceratops\">\n        <img  alt=\"Doc style: google\" src=\"https://img.shields.io/badge/try%2Fexcept%20style-tryceratops%20%F0%9F%A6%96%E2%9C%A8-black\">\n    </a>\n    <br/>\n    <a href=\"https://pypi.org/project/arkas/\">\n        <img alt=\"PYPI version\" src=\"https://img.shields.io/pypi/v/arkas\">\n    </a>\n    <a href=\"https://pypi.org/project/arkas/\">\n        <img alt=\"Python\" src=\"https://img.shields.io/pypi/pyversions/arkas.svg\">\n    </a>\n    <a href=\"https://opensource.org/licenses/BSD-3-Clause\">\n        <img alt=\"BSD-3-Clause\" src=\"https://img.shields.io/pypi/l/arkas\">\n    </a>\n    <br/>\n    <a href=\"https://pepy.tech/project/arkas\">\n        <img  alt=\"Downloads\" src=\"https://static.pepy.tech/badge/arkas\">\n    </a>\n    <a href=\"https://pepy.tech/project/arkas\">\n        <img  alt=\"Monthly downloads\" src=\"https://static.pepy.tech/badge/arkas/month\">\n    </a>\n    <br/>\n</p>\n\n## Overview\n\n`arkas` is a simple Python library to evaluate ML model performances.\n\n## Installation\n\nWe highly recommend installing\na [virtual environment](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/).\n`arkas` can be installed from pip using the following command:\n\n```shell\npip install arkas\n```\n\nTo make the package as slim as possible, only the minimal packages required to use `arkas` are\ninstalled.\nTo include all the dependencies, you can use the following command:\n\n```shell\npip install arkas[all]\n```\n\nPlease check the [get started page](https://durandtibo.github.io/arkas/get_started) to see how to\ninstall only some specific dependencies or other alternatives to install the library.\nThe following is the corresponding `arkas` versions and tested dependencies.\n\n| `arkas` | `coola`        | `grizz`      | `iden`       | `matplotlib` | `numpy`       | `objectory`  | `polars`     | `scikit-learn` | `python`      |\n|---------|----------------|--------------|--------------|--------------|---------------|--------------|--------------|----------------|---------------|\n| `main`  | `>=0.8.2,<1.0` | `>=0.1,<1.0` | `>=0.1,<1.0` | `>=3.6,<4.0` | `>=1.22,<2.0` | `>=0.2,<1.0` | `>=1.0,<2.0` | `>=1.3,<2.0`   | `>=3.9,<3.13` |\n\n| `arkas` | `colorlog`<sup>*</sup> | `hya`<sup>*</sup> | `markdown`<sup>*</sup> | `plotly`<sup>*</sup> | `scipy`<sup>*</sup> | `tqdm`<sup>*</sup> |\n|---------|------------------------|-------------------|------------------------|----------------------|---------------------|--------------------|\n| `main`  | `>=6.7,<7.0`           | `>=0.2,<1.0`      | `>=3.4,<4.0`           | `>=5.24.0,<6.0`      | `>=1.10,<2.0`       | `>=4.65,<5.0`      |\n\n<sup>*</sup> indicates an optional dependency\n\n## Contributing\n\nPlease check the instructions in [CONTRIBUTING.md](.github/CONTRIBUTING.md).\n\n## Suggestions and Communication\n\nEveryone is welcome to contribute to the community.\nIf you have any questions or suggestions, you can\nsubmit [Github Issues](https://github.com/durandtibo/arkas/issues).\nWe will reply to you as soon as possible. Thank you very much.\n\n## API stability\n\n:warning: While `arkas` is in development stage, no API is guaranteed to be stable from one\nrelease to the next.\nIn fact, it is very likely that the API will change multiple times before a stable 1.0.0 release.\nIn practice, this means that upgrading `arkas` to a new version will possibly break any code that\nwas using the old version of `arkas`.\n\n## License\n\n`arkas` is licensed under BSD 3-Clause \"New\" or \"Revised\" license available in [LICENSE](LICENSE)\nfile.\n",
    "bugtrack_url": null,
    "license": "BSD-3-Clause",
    "summary": "Library to evaluate ML model performances",
    "version": "0.0.1a15",
    "project_urls": {
        "Homepage": "https://github.com/durandtibo/arkas",
        "Repository": "https://github.com/durandtibo/arkas"
    },
    "split_keywords": [
        "ml model",
        " evaluation",
        " classification",
        " regression"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "4f62a464092a865b39c8b63101142822ffbfa75ddd69079fd6ca3a22e836cf61",
                "md5": "ec87e5c171178faad12737360a7fff9a",
                "sha256": "ecfc98d93caece3cf48fd4b01c7b23d599ed91199710f56a600902f526771f34"
            },
            "downloads": -1,
            "filename": "arkas-0.0.1a15-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "ec87e5c171178faad12737360a7fff9a",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<3.13,>=3.9",
            "size": 324299,
            "upload_time": "2025-01-12T20:54:08",
            "upload_time_iso_8601": "2025-01-12T20:54:08.964075Z",
            "url": "https://files.pythonhosted.org/packages/4f/62/a464092a865b39c8b63101142822ffbfa75ddd69079fd6ca3a22e836cf61/arkas-0.0.1a15-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "30f91a250ae8ca981035949232d721b3e48def05d8ec9a65e453e4763b85145d",
                "md5": "d270eaad6b68d28063ed7e2d45688410",
                "sha256": "afe12145a527ba3e1c0dce87d054cd541bff0569c452c3577c9fd28467c53d58"
            },
            "downloads": -1,
            "filename": "arkas-0.0.1a15.tar.gz",
            "has_sig": false,
            "md5_digest": "d270eaad6b68d28063ed7e2d45688410",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<3.13,>=3.9",
            "size": 116463,
            "upload_time": "2025-01-12T20:54:10",
            "upload_time_iso_8601": "2025-01-12T20:54:10.288149Z",
            "url": "https://files.pythonhosted.org/packages/30/f9/1a250ae8ca981035949232d721b3e48def05d8ec9a65e453e4763b85145d/arkas-0.0.1a15.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-01-12 20:54:10",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "durandtibo",
    "github_project": "arkas",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "arkas"
}
        
Elapsed time: 1.21130s