nn.predict: Predict new samples by Trainded NN
In DimitriF/DLC: Deep Layer Chromatography

Description Usage Arguments Value Author(s) Examples

Predict new samples by Trainded NN

1	nn.predict(nn, x)

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

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

Xiao Rong

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)