nn.predict: Predict new samples by Trainded NN

In deepnet: Deep Learning Toolkit in R

Predict new samples by Trainded NN

Description

Predict new samples by Trainded NN

Usage

nn.predict(nn, x)

Arguments

nn	nerual network trained by function nn.train
x	new samples to predict

Value

return raw output value of neural network.For classification task,return the probability of a class

Author(s)

Xiao Rong

Examples

Var1 <- c(rnorm(50, 1, 0.5), rnorm(50, -0.6, 0.2))
Var2 <- c(rnorm(50, -0.8, 0.2), rnorm(50, 2, 1))
x <- matrix(c(Var1, Var2), nrow = 100, ncol = 2)
y <- c(rep(1, 50), rep(0, 50))
nn <- nn.train(x, y, hidden = c(5))
## predict by nn
test_Var1 <- c(rnorm(50, 1, 0.5), rnorm(50, -0.6, 0.2))
test_Var2 <- c(rnorm(50, -0.8, 0.2), rnorm(50, 2, 1))
test_x <- matrix(c(test_Var1, test_Var2), nrow = 100, ncol = 2)
yy <- nn.predict(nn, test_x)

deepnet documentation built on June 24, 2022, 5:06 p.m.