Hello all, I have two questions about dttrain. I am using dltrain to predict time series using LSTM. There are two options for which I would like to have more information: - stagnation - nthreads Stagnation: SAS help says the following: "specifies the number of iterations completed without improvement before stopping the optimization early. When the validTable parameter is specified, the validation scores are monitored for stagnation." Does iterations mean epochs? If not, what are iterations? What exactly is meant by validation scores? Loss or error or both together? I have tried a few settings, including stagnation = 1. However, even with an increase in validation errors, the training (including validation table) did not stop before the end of the specified maxEpochs. nthreads: Can the runtime of the training be reduced by specifying threads? What is a reasonable number of threads and how can I determine it for my system? Thanks a lot! Many greetings Torben
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