.. -- mode: rst --
|ReadTheDocs| |Codecov|
.. |Codecov| image:: https://codecov.io/gh/akusok/scikit-elm/branch/master/graph/badge.svg .. _Codecov: https://codecov.io/gh/akusok/scikit-elm
.. |ReadTheDocs| image:: https://readthedocs.org/projects/scikit-elm/badge/?version=latest .. _ReadTheDocs: https://scikit-elm.readthedocs.io/en/latest/?badge=latest
.. _scikit-learn: https://scikit-learn.org .. _dask: https://dask.org .. _plaidml: https://github.com/plaidml/plaidml/blob/master/docs/install.md#macos
scikit-elm is a scikit-learn_ compatible Extreme Learning Machine (ELM) regressor/classifier.
It features very high degree of model flexibility: dynamically added classes,
partial_fit without performance penalties, wide data format compatibility,
optimization and parameter selection without full re-training.
Big Data and out-of-core learning support through dask-powered backend. GPU acceleration support with NVidia hardware, and on macOS through plaidml.