Metadata-Version: 2.1
Name: arkas
Version: 0.0.1a11
Summary: Library to evaluate ML model performances
Home-page: https://github.com/durandtibo/arkas
License: BSD-3-Clause
Keywords: ML model,evaluation,classification,regression
Author: Thibaut Durand
Author-email: durand.tibo+gh@gmail.com
Requires-Python: >=3.9,<3.13
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Provides-Extra: all
Provides-Extra: cli
Requires-Dist: colorlog (>=6.7,<7.0) ; extra == "all" or extra == "cli"
Requires-Dist: coola (>=0.8.2,<1.0)
Requires-Dist: grizz (>=0.2.0a16,<1.0)
Requires-Dist: hya (>=0.2,<1.0) ; extra == "all" or extra == "cli"
Requires-Dist: hydra-core (>=1.3,<2.0) ; extra == "all" or extra == "cli"
Requires-Dist: iden (>=0.1,<1.0)
Requires-Dist: jinja2 (>=3.0,<4.0)
Requires-Dist: markdown (>=3.4,<4.0) ; extra == "all"
Requires-Dist: matplotlib (>=3.6,<4.0)
Requires-Dist: numpy (>=1.22,<3.0)
Requires-Dist: objectory (>=0.2,<1.0)
Requires-Dist: omegaconf (>=2.1,<3.0) ; extra == "all" or extra == "cli"
Requires-Dist: plotly (>=5.24.0,<6.0) ; extra == "all"
Requires-Dist: polars (>=1.0,<2.0)
Requires-Dist: scikit-learn (>=1.3,<2.0)
Requires-Dist: scipy (>=1.10,<2.0) ; extra == "all"
Requires-Dist: tqdm (>=4.65,<5.0) ; extra == "all"
Project-URL: Repository, https://github.com/durandtibo/arkas
Description-Content-Type: text/markdown

# arkas

<p align="center">
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</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.

