Welcome to IntelELM’s documentation!

Intelligent Metaheuristic-based Extreme Learning Machine: IntelELM - An Open Source Python Library

IntelELM (Intelligent Metaheuristic-based Extreme Learning Machine) is a Python library that implements a framework for training Extreme Learning Machine (ELM) networks using Metaheuristic Algorithms. It provides a comparable alternative to the traditional ELM network and is compatible with the Scikit-Learn library. With IntelELM, you can perform searches and hyperparameter tuning using the functionalities provided by the Scikit-Learn library.

• Free software: GNU General Public License (GPL) V3 license

• Total Wrapper-based (Metaheuristic Algorithms): > 200 methods

• Total datasets: 54 (47 classifications and 7 regressions)

• Total performance metrics: >= 67 (47 regressions and 20 classifications)

• Total objective functions (as fitness functions): >= 61 (45 regressions and 16 classifications)

• Documentation: https://intelelm.readthedocs.io/en/latest/

• Python versions: >= 3.7.x

• Dependencies: numpy, scipy, scikit-learn, pandas, mealpy, permetrics

Quick Start:

• Installation
• Examples

Models API:

• IntelELM Library
  • intelelm.base_elm module
  • Subpackages
    • intelelm.model package
      • intelelm.model.standard_elm module
      • intelelm.model.mha_elm module
    • intelelm.utils package
      • intelelm.utils.activation module
      • intelelm.utils.data_loader module
      • intelelm.utils.encoder module
      • intelelm.utils.evaluator module
      • intelelm.utils.validator module

Support:

• Citation Request
• Important links
• License

Indices and tables

• Index

• Module Index

• Search Page