How do I link my data with the training and validation set indices I have created using 'dividerand' function?

I have a dataset of 200 values. I want to randomly split the data into training (70%) and validation (30%) sets. I used the 'dividerand' function to create random indices for both sets. But now I am unsure as to how to link my data with the indices in order to proceed further with my analysis.

Answer 1

[Manan Mishra]

You can pass the vectors created by "dividerand" as index to extract training and validation sets from your dataset.

For example, if "ds" is your dataset of 200 values and you use the following command to create random indices:

[trainInd,valInd,~] = dividerand(3000,0.7,0.3,0);

Then you can extract the training and validation sets as follows:

trainSet = ds(trainInd);
valSet = ds(valInd);

[LE-LE YANG]

trainSet = ds(trainInd); valSet = ds(valInd);

But how to use these datasets for train and validate? I know the train is like: net=train(net,x,t) But how to validate the net?