.. currentmodule:: skelm
Extreme Learning Machine is a native regression method, that also supports classification with extra features designed to support classes in targets.
Large ELM refers to a parallel implementation with Dask that takes data in a bunch of files on disk, and supports extremely large numbers of neurons - at a cost of slightly longer processing times.
Hidden layer, solvers and utilities are references to internal implementations for those interested in extending or re-using parts of Scikit-ELM.
.. autosummary:: :toctree: generated/ :template: class.rst ELMRegressor LargeELMRegressor
.. autosummary:: :toctree: generated/ :template: class.rst ELMClassifier
Hidden Layer
.. autosummary:: :toctree: generated/ :template: class.rst HiddenLayer
.. autosummary:: :toctree: generated/ BatchCholeskySolver
.. autosummary:: :toctree: generated/ utils