predict_seq: Run the node-forward function on a sequence of data

In reservoirnet: Reservoir Computing and Echo State Networks

Run the node-forward function on a sequence of data

Description

Run the node-forward function on a sequence of data

Usage

predict_seq(node, X, formState = NULL, stateful = TRUE, reset = FALSE)

Arguments

node	node
X	array-like of shape ([n_inputs], timesteps, input_dim) A sequence of data of shape (timesteps, features).
formState	array of shape (1, output_dim), optional Node state value to use at begining of computation.
stateful	bool, default to TRUE If True, Node state will be updated by this operation.
reset	bool, default to FALSE If True, Node state will be reset to zero before this operation.

Details

Can update the state of the node several times

Value

An object of class reservoir_predict_seq. This object is a numeric vector containing the matrix of the prediction of the reservoir. It is either the forecast of the ridge layer or the node state of the reservoir if no ridge layer is given.

Examples

if(reticulate::py_module_available("reservoirpy")){
reservoir <- reservoirnet::createNode(nodeType = "Reservoir",
                                      seed = 1,
                                      units = 100,
                                      lr = 0.7,
                                      sr = 1,
                                      input_scaling = 1)
X <- matrix(data = rnorm(100), ncol = 4)
reservoir_state_stand <- reservoirnet::predict_seq(node = reservoir, X = X)
plot(reservoir_state_stand)
summary(reservoir_state_stand)
}

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