arkas 0.0.1a4

Library to evaluate ML model performances

arkas

Overview

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

Installation

We highly recommend installing a virtual environment. arkas can be installed from pip using the following command:

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:

pip install arkas[all]

Please check the get started page 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*	hya*	markdown*	plotly*	scipy*	tqdm*
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

^* indicates an optional dependency

Contributing

Please check the instructions in 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. 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 file.