Aisp

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| <img src='https://ais-package.github.io/assets/images/logo-7b415c6841a3ed8a760eff38ecd996b8.svg'/> | <h1 class='text-title' align=center>Artificial Immune Systems Package.</h1> | |:-------------:|:-------------:|

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Package documentation / Documentação do pacote

• Docs.

• Wiki Github.

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Summary

1. Introduction.
2. Installation.
   1. Dependencies
   2. User installation
3. Examples.

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Introduction

The AISP is a python package that implements artificial immune systems techniques, distributed under the GNU Lesser General Public License v3.0 (LGPLv3).

The package started in 2022 as a research package at the Federal Institute of Northern Minas Gerais - Salinas campus (IFNMG - Salinas).

Artificial Immune Systems (AIS) are inspired by the vertebrate immune system, creating metaphors that apply the ability to detect and catalog pathogens, among other features of this system.

Algorithms implemented

• [x] Negative Selection.
• [x] Clonal Selection Algorithms.
  • AIRS - Artificial Immune Recognition System
  • CLONALG - Clonal Selection Algorithm
• [ ] Danger Theory.
• [x] Immune Network Theory.
  • AiNet - Artificial Immune Network para Clustering and Compression

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Installation

The module requires installation of python 3.10 or higher.

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Dependencies:

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| Packages | Version | |:-------------:|:-------------:| | numpy | ≥ 1.22.4 | | scipy | ≥ 1.8.1 | | tqdm | ≥ 4.64.1 | | numba | ≥ 0.59.0 |

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User installation

The simplest way to install AISP is using pip:

pip install aisp

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Examples

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Explore the example notebooks available in the AIS-Package/aisp repository. These notebooks demonstrate how to utilize the package's functionalities in various scenarios, including applications of the RNSA, BNSA and AIRS algorithms on datasets such as Iris, Geyser, and Mushrooms.

You can run the notebooks directly in your browser without any local installation using Binder:

💡 Tip: Binder may take a few minutes to load the environment, especially on the first launch.

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