reservoirR_fit: Offline fitting method of a Node

In reservoirnet: Reservoir Computing and Echo State Networks

Offline fitting method of a Node

Description

Offline fitting method of a Node

Usage

reservoirR_fit(node, X, Y, warmup = 0, stateful = FALSE, reset = FALSE)

Arguments

node	node
X	array-like of shape [n_inputs], [series], timesteps, input_dim), optional Input sequences dataset. If None, the method will try to fit the parameters of the Node using the precomputed values returned by previous call of :py:meth:partial_fit.
Y	array-like of shape ([series], timesteps, output_dim), optional Teacher signals dataset. If None, the method will try to fit the parameters of the Node using the precomputed values returned by previous call of :py:meth: partial_fit, or to fit the Node in an unsupervised way, if possible.
warmup	: int, default to 0 Number of timesteps to consider as warmup and discard at the begining of each timeseries before training.
stateful	is boolen
reset	is boolean. Should the node status be reset before fitting.

Value

A fitted reservoir of class reservoiR_fit containing the fitted model.

Examples

if(reticulate::py_module_available("reservoirpy")){
}

reservoirnet documentation built on April 4, 2023, 5:12 p.m.