Extreme Learning Machine classifier and regressor toolbox with
Extreme Learning Machine (ELM) is a general purpose regression and classification method with computationally efficient formulation, featuring great performance on a wide range on problems. It scales to the largets datasets or model sizes, provides a compact neural network model for inference, and easily updates a model with new data.
Scikit-ELM toolbox is compatible with an industry standard
Scikit-Learn framework, and can be a part of its analytical pipeline. It accepts data in dense, sparse formats as well as
Pandas.DataFrame. Even the largest datasets or models can be analysed with
Dask library backend, that reads multiple data files in parallel and runs out-of-memory batch computations. GPU acceleration is supported – including on Mac computers with