Welcome to Reflame’s documentation!¶

Reflame (REvolutionizing Functional Link Artificial neural networks by MEtaheuristic algorithms) is a Python library that implements a framework for training Functional Link Neural Network (FLNN) networks using Metaheuristic Algorithms. It provides a comparable alternative to the traditional FLNN network and is compatible with the Scikit-Learn library. With Reflame, 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: FlnnRegressor, FlnnClassifier, MhaFlnnRegressor, MhaFlnnClassifier

• Total Official Metaheuristic-based Flnn Regression: > 200 Models

• Total Official Metaheuristic-based Flnn Classification: > 200 Models

• 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://reflame.readthedocs.io

• Python versions: >= 3.8.x

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

Indices and tables¶

• Index

• Module Index

• Search Page