guess: Guess

In grnn: General regression neural network

Description

Infers the value of a new observation.

Usage

  guess(nn, X)

Arguments

nn	A trained and smoothed General regression neural network.
X	A vector describing a new observation.

See Also

grnn-package

Examples

n <- 100
set.seed(1)
x <- runif(n, -2, 2)
y0 <- x^3
epsilon <- rnorm(n, 0, .1)
y <- y0 + epsilon
grnn <- learn(data.frame(y,x))
grnn <- smooth(grnn, sigma=0.1)
guess(grnn, -2)
guess(grnn, -1)
guess(grnn, -0.2)
guess(grnn, -0.1)
guess(grnn, 0)
guess(grnn, 0.1)
guess(grnn, 0.2)
guess(grnn, 1)
guess(grnn, 2)

Example output

Attaching package: 'grnn'

The following object is masked from 'package:stats':

    smooth

[1] -7.109604
[1] -1.093138
[1] 0.01685824
[1] 0.01580777
[1] 0.02843939
[1] 0.07156214
[1] 0.0847141
[1] 1.102592
[1] 7.229495

grnn documentation built on May 1, 2019, 10:51 p.m.