MPX0222/BLS-APIs

A Modified Toolbox for Broad Learning System, with sklearn liked APIs and Codes. Now BLS, Stacked-BLS, BLS-AE are Released.

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This is a specialized toolbox for machine learning researchers and practitioners who use Broad Learning Systems (BLS) for building predictive models. It takes your raw datasets and applies various BLS architectures, outputting trained models that can perform classification, regression, or data encoding tasks. Data scientists, machine learning engineers, and academic researchers focused on efficient learning systems would find this useful.

No commits in the last 6 months.

Use this if you are actively working with Broad Learning System (BLS) models and need a robust, scikit-learn-like API for implementing and experimenting with different BLS variants such as BLS, Stacked-BLS, and BLS-AE.

Not ideal if you are new to machine learning and looking for a general-purpose, easy-to-use library for common tasks without specific interest in Broad Learning Systems.

machine-learning classification regression data-encoding neural-networks-alternatives
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 11 / 25

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Last pushed

Sep 03, 2024

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