qrnn.initialize: Initialize a QRNN weight vector

In qrnn: Quantile Regression Neural Network

Initialize a QRNN weight vector

Description

Random initialization of the weight vector used during fitting of a QRNN model.

Usage

qrnn.initialize(x, y, n.hidden, init.range=c(-0.5, 0.5, -0.5, 0.5))

Arguments

x	covariate matrix with number of rows equal to the number of samples and number of columns equal to the number of variables.
y	response column matrix with number of rows equal to the number of samples.
n.hidden	number of hidden nodes in the QRNN model.
init.range	initial weight range for input-hidden and hidden-output weight matrices.

qrnn documentation built on May 29, 2024, 1:27 a.m.