train_elm: Extreme Learning Machine (ELM)

In ahaeusser/tscv: Functions and utilities for tidy time series forecasting and time series cross-validation

Extreme Learning Machine (ELM)

Description

Train an Extreme Learning Machine (ELM) model.

Usage

train_elm(.data, specials, n_seed = 42, ...)

Arguments

.data	Input data as tsibble.
specials	Specials as list defined in specials_elm.
n_seed	Integer value. The seed for the random number generator (for reproducibility).
...	Further arguments passed to nnfor::elm().

Value

An object of class ELM.

ahaeusser/tscv documentation built on Dec. 25, 2024, 10:11 a.m.