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LSTM Deep Learning Forecast - Validation
Yesterday I posted here a question about a walkforward validation of forecasting model that was solved.
But @SGolbert pointed that LSTMs are becomimg very important in forecasting and because I've already start studying this subject I decided it was time to give it a try. Results are quite fair though tuning is more thorny.
I'm using this extension operators:
My question is basically if it is possible to validate the models built using this extension with, for example, sliding window validation operator.
When I try to connect mod outport with validation operator mod ports I get a error. I understand the reason of the error, but I'm stucked.
How can we backtest models build under this extension.
Enclosed mock example set and process.
Thanks for your help