nn.predict {deepnet} | R Documentation |
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)
[Package deepnet version 0.2.1 Index]