How to use predict(net,X) with Sequence data or data which have single dimensional input?

1 次查看（过去 30 天）
poonam
poonam 2019-1-11
评论： Greg Heath 2019-1-23
I have trained the model on input having
size(input) = [1 78852] double
and output of
size(Output) = [1 78852].
The model is trained using command
net = layrecnet(1:2,[20 20],'trainlm');.
I want to use the predict(net, X) but it is giving me error
Error using predict (line 84)
No valid system or dataset was specified.
As my input is single dimentional vector. How to use this predict function in my prgoram?

请先登录，再回答此问题。

回答（1 个）

Greg Heath
Greg Heath 2019-1-11
  1. How do you expect us to help when you do not show us your code ???
  2. Just the fact that the error involves "predict" and you show no such code is more than enough for a bald man to scratch his head.
  3. Please see the HELP and DOC files before posting a question.
Greg
  3 个评论
显示 1更早的评论
poonam
poonam 2019-1-11
编辑：poonam 2019-1-11
From help and Doc I was on conclusion that my input is single dimentional vector and in predict() function need the matrix of D-by-S matrix if data is sequential. So, I have tried the alternate way of argument in the funtion. But gettting the same resulted error.
YPred = predict(net,[Input_validation_data(1:10), 11] );
https://in.mathworks.com/help/deeplearning/ref/predict.html?s_tid=doc_ta
Greg Heath
Greg Heath 2019-1-23
You are not using the MATLAB VERSION of the definition validation.
See the Matlab definitions of train, val and test.
Greg

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by