pyoselm.layer¶

Module to provide random layers for ELM and OS-ELM models

`pyoselm.layer.RandomLayer`	RandomLayer is a transformer that creates a feature mapping of the inputs that corresponds to a layer of hidden units with randomly generated components.
`pyoselm.layer.MLPRandomLayer`	Wrapper for RandomLayer with alpha (mixing coefficient) set to 1.0 for MLP activations only
`pyoselm.layer.RBFRandomLayer`	Wrapper for RandomLayer with alpha (mixing coefficient) set to 0.0 for RBF activations only
`pyoselm.layer.GRBFRandomLayer`	Random Generalized RBF Hidden Layer transformer