cadence.initialize: Initialize a CDEN weight vector

In CaDENCE: Conditional Density Estimation Network Construction and Evaluation

Description

Random initialization of the weight vector used during fitting of the CDEN model.

Usage

cadence.initialize(x, n.hidden, init.range, distribution)

Arguments

x	matrix with number of rows equal to the number of samples and number of columns equal to the number of predictors.
n.hidden	number of hidden nodes in the CDEN model.
init.range	range for random weights on [min(init.range), max(init.range)]
distribution	list used to specify the predictand distribution

CaDENCE documentation built on May 2, 2019, 6:05 a.m.