High-Performance implementation of an Extreme Learning Machine
Project description
High Performance ELM
--------
Extreme Learning Machine (ELM) with model selection and regularizations.
In-memory ELM works, check hpelm/tests folder.
MAGMA acceleration works, check hpelm/acc/setup_gpu.py.
Example usage::
>>> from hpelm import ELM
>>> elm = ELM(X.shape[1], T.shape[1])
>>> elm.add_neurons(20, "sigm")
>>> elm.add_neurons(10, "rbf_l2")
>>> elm.train(X, T, "LOO")
>>> Y = elm.predict(X)
If you use the toolbox, cite our paper that will be published in IEEE Access.
--------
Extreme Learning Machine (ELM) with model selection and regularizations.
In-memory ELM works, check hpelm/tests folder.
MAGMA acceleration works, check hpelm/acc/setup_gpu.py.
Example usage::
>>> from hpelm import ELM
>>> elm = ELM(X.shape[1], T.shape[1])
>>> elm.add_neurons(20, "sigm")
>>> elm.add_neurons(10, "rbf_l2")
>>> elm.train(X, T, "LOO")
>>> Y = elm.predict(X)
If you use the toolbox, cite our paper that will be published in IEEE Access.
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