[R] question about nnet

[Aimin Yan]

I use neural network to predict a continuous variable( omega in training).

But I get all "1" instead of real value.

Do you know why?

Aimin

Thanks

The following is code

 > m.nn.omega <- nnet(omega~aa_three+bas+bcu+aa_ss, aata=training,size=2)
# weights:  57
initial  value 97329662.256069
final  value 96367717.444383
converged
 > pr.nn.train<-predict(m.nn.omega,training,type="raw")
 > head(pr.nn.train)
   [,1]
1    1
2    1
3    1
4    1
5    1
6    1
 > head(training)
     pr aa_three aa_one aa_ss aa_pos    aas bas   ams bms        acu 
bcu     omega       y index
1 1acx      ALA      A     C      1 127.71   0 69.99   0 
-0.2498560   0  79.91470 outward  TRUE
2 1acx      PRO      P     C      2  68.55   0 55.44   0 
-0.0949008   0  76.60380 outward  TRUE
3 1acx      ALA      A     E      3  52.72   0 47.82   0 
-0.0396550   0  52.19970 outward  TRUE
4 1acx      PHE      F     E      4  22.62   0 31.21   0  0.1270330   0 
169.52500  inward  TRUE
5 1acx      SER      S     E      5  71.32   0 52.84   0 
-0.1312380   0   7.47528 outward  TRUE
6 1acx      VAL      V     E      6  12.92   0 22.40   0  0.1728390   0 
149.09400  inward  TRUE