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

1 2 3 4 5 6 7 8 9 10 | ```
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)
``` |

DimitriF/DLC documentation built on March 21, 2018, 8:49 p.m.

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