Metadata-Version: 2.4
Name: abil
Version: 25.3.10
Summary: Aquatic Biogeochemical Interpolation Library
Project-URL: Homepage, https://github.com/nanophyto/Abil
License-Expression: MIT
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown



# Abil.py &middot; [![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/nanophyto/Abil/LICENSE) [![Build Status](https://github.com/nanophyto/Abil/actions/workflows/ci.yml/badge.svg?branch=Continuous-integration)](https://github.com/nanophyto/Abil/actions/workflows/ci.yml?query=branch%3AContinuous-integration) [![Dev Docs](https://img.shields.io/badge/docs-Dev_Docs-blue)](https://nanophyto.github.io/Abil/)

## Overview

Abil.py provides functions to interpolate distributions of biogeochemical observations using Machine Learning algorithms in Python. The library is optimized to interpolate many predictions in parallel and is thus particularly suited for distribution models of species, genes and transcripts. The library relies on [scikit-learn](https://scikit-learn.org/).

## Installation

### Prerequisites
Ensure you have the following installed on your system:
- [Python](https://www.python.org/downloads/) (>=3.7 recommended)
- [Git](https://git-scm.com/downloads)
- [pip](https://pip.pypa.io/en/stable/installation/)

### Install via pip
Run the following command to install the package directly from GitHub:
```sh
pip install abil
```

### Install via cloning (for development)
If you want to modify the package, clone the repository and install it in editable mode:
```sh
git clone https://github.com/nanophyto/Abil.git
cd Abil
pip install -e .
```

## Documentation

See the [documentation](https://nanophyto.github.io/Abil/) for instructions on how to setup and run the models.
