.. IntelELM documentation master file, created by sphinx-quickstart on Sat May 20 16:59:33 2023. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to IntelELM's documentation! ==================================== .. image:: https://img.shields.io/badge/release-1.3.0-yellow.svg :target: https://github.com/thieu1995/intelelm/releases .. image:: https://img.shields.io/pypi/wheel/gensim.svg :target: https://pypi.python.org/pypi/intelelm .. image:: https://badge.fury.io/py/intelelm.svg :target: https://badge.fury.io/py/intelelm .. image:: https://img.shields.io/pypi/pyversions/intelelm.svg :target: https://www.python.org/ .. image:: https://img.shields.io/pypi/status/intelelm.svg :target: https://img.shields.io/pypi/status/intelelm.svg .. image:: https://img.shields.io/pypi/dm/intelelm.svg :target: https://img.shields.io/pypi/dm/intelelm.svg .. image:: https://github.com/thieu1995/intelelm/actions/workflows/publish-package.yml/badge.svg :target: https://github.com/thieu1995/intelelm/actions/workflows/publish-package.yml .. image:: https://static.pepy.tech/badge/intelelm :target: https://pepy.tech/project/intelelm .. image:: https://img.shields.io/github/release-date/thieu1995/intelelm.svg :target: https://img.shields.io/github/release-date/thieu1995/intelelm.svg .. image:: https://readthedocs.org/projects/intelelm/badge/?version=latest :target: https://intelelm.readthedocs.io/en/latest/?badge=latest .. image:: https://img.shields.io/badge/Chat-on%20Telegram-blue :target: https://t.me/+fRVCJGuGJg1mNDg1 .. image:: https://img.shields.io/github/contributors/thieu1995/intelelm.svg :target: https://img.shields.io/github/contributors/thieu1995/intelelm.svg .. image:: https://img.shields.io/badge/PR-Welcome-%23FF8300.svg? :target: https://git-scm.com/book/en/v2/GitHub-Contributing-to-a-Project .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.8249045.svg :target: https://doi.org/10.5281/zenodo.8249045 .. image:: https://img.shields.io/badge/License-GPLv3-blue.svg :target: https://www.gnu.org/licenses/gpl-3.0 **IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine** 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 * **Provided Estimator**: ElmRegressor, ElmClassifier, MhaElmRegressor, MhaElmClassifier, AutomatedMhaElmTuner, AutomatedMhaElmComparator * **Total Optimization-based ELM Regression**: > 200 Models * **Total Optimization-based ELM Classification**: > 200 Models * **Supported datasets**: 54 (47 classifications and 7 regressions) * **Supported performance metrics**: >= 67 (47 regressions and 20 classifications) * **Supported objective functions (as fitness functions or loss functions)**: >= 67 (47 regressions and 20 classifications) * **Documentation:** https://intelelm.readthedocs.io/en/latest/ * **Python versions:** >= 3.8.x * **Dependencies:** numpy, scipy, scikit-learn, pandas, mealpy, permetrics .. toctree:: :maxdepth: 4 :caption: Quick Start: pages/quick_start.rst .. toctree:: :maxdepth: 4 :caption: Models API: pages/intelelm.rst .. toctree:: :maxdepth: 4 :caption: Support: pages/support.rst Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`