| ELM |
Extreme Learning Machine, a single hidden-layer network with random features and analytic output solve |
| OS-ELM |
Online Sequential ELM, an ELM updated chunk by chunk |
| ReOS-ELM |
Regularized OS-ELM with covariance regularization |
| FOS-ELM |
Forgetting OS-ELM with a forgetting factor |
| OS-CELM |
Constrained OS-ELM with class-distance constraint |
| ELM-AE |
ELM autoencoder used as a learned feature map |
| ML-ELM |
Multilayer ELM using stacked ELM-AE features and a batch ridge head |
| H-OS-ELM |
Hierarchical OS-ELM using stacked ELM-AE features and an online RLS head |
| FeatureMap |
Interface for transforming input matrices into feature matrices |
| Solver |
Strategy for learning output weights from features and targets |
| Backend |
CPU or GPU execution target |
| Ridge alpha |
Positive regularization added to least-squares normal systems |
| Forgetting factor |
RLS multiplier that down-weights stale online data |
| RBF |
Radial Basis Function feature using Euclidean distance to centers |