rnnStream: Setup the Input and Output for a Recurrent Neural Network

Description Usage Arguments Value Examples

Description

R command to setup the input and output for a Recurrent Neural Network. It is used in the Wiley book Statistical Learning with Big Dependent Data by Daniel Peña and Ruey S. Tsay (2021).

Usage

1
rnnStream(z, h = 25, nfore = 200)

Arguments

z

Input in integer values.

h

Number of lags used as input.

nfore

Data points in the testing subsample.

Value

A list containing:

Examples

1
output <- rnnStream(rnorm(100), h=5, nfore=20)

SLBDD documentation built on March 27, 2021, 9:07 a.m.

Related to rnnStream in SLBDD...