How can I determine mean, standard deviation, minimum and maximum value of each type input and output in training, testing and validation data set, If i consider divide it randomly?
1 view (last 30 days)
Show older comments
grytan sarkar
on 12 May 2017
Commented: grytan sarkar
on 1 Jun 2017
How can I determine mean, standard deviation, minimum and maximum value of each type input and output in training, testing and validation data set, If i consider Dividerand?
0 Comments
Accepted Answer
Greg Heath
on 12 May 2017
Edited: Greg Heath
on 12 May 2017
[ net tr y e ] = train(net,x,t);
Obtain trnind, valind and tstind from tr. To see how to do this, just
type, without the ending semicolon,
tr = tr
Hope this helps,
Greg
Thank you for formally accepting my answer
Greg
5 Comments
Greg Heath
on 1 Jun 2017
Reread my instructions:
The trn/val/tst indices are in the training record tr. Therefore, use the command
tr = tr
and the rest will follow!
Greg
More Answers (0)
See Also
Categories
Find more on Sequence and Numeric Feature Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!