How to set validation for LSTM Model

Hello

I have LSTM network with database created. I have configure the network to use 70% of data for trainig and 30% for testing. Please how do I setup validation in the training option? I am stuck at this point...

for i= 1:rt-7012 %% this gets 70% of database content
    GHITrain{i,1}= Database{i,1};
end
restTrain= resultDatabase(1:rt-7012);


 options= trainingOptions('adam',...
    ExecutionEnvironment = 'auto',...
    MaxEpochs = Epoch,...
    MiniBatchSize = miniBatchSize,...
    InitialLearnRate= 1e-4,...
    Plots = 'training-progress');
 

Answer 1

[KSSV]

 options= trainingOptions('adam',...
    ExecutionEnvironment = 'auto',...
    MaxEpochs = Epoch,...
    MiniBatchSize = miniBatchSize,...
    InitialLearnRate= 1e-4,...
    'ValidationData',{inputVal, targetVal}, ...   %<----- specify here 
    Plots = 'training-progress');   

[MBUNYA NERVILLE ANYANG]

Thank you KSSV I still get an error message when I set like this.

 options= trainingOptions('adam',...
    ExecutionEnvironment = 'auto',...
    MaxEpochs = Epoch,...
    MiniBatchSize = miniBatchSize,...
    InitialLearnRate= 1e-4,...
    ValidationData = {0.8, 0.2}, ...   %<----- specify here 
    Plots = 'training-progress');   

 

Error using trainNetwork The validation sequences are of feature dimension 1 but the input layer expects sequences of feature dimension 6.

[KSSV]

The provided ValidationData is not consistent with the training data.

[MBUNYA NERVILLE ANYANG]

Hello KSSV

I get this error when I set inputVal and targetVal. Please How do I fix this