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Different input and output dimensions (not lengths) #4
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Guillaume, As you describe in exercise 4, how could it be possible to obtain an unique prediction signal with for example, two input signals ? I mean, introducing exogenous variables into the time series to predict it. Thanks for all. |
Shouldn't this be as easy as not tying together The |
Is it possible to use variable input sequence length, similar to what has been implemented for Machine Translation? |
@Sangeethbala Yes, you could use TensorFlow's Dynamic RNN, or some other things in eager mode for example. |
I think this issue got fixed by merging #17. |
Gillaume, thanks a lot for sharing this, I've been having a lot of fun playing with it. I just had a quick question: would it be possible to have input and output sequences of different dimensions? Like for example, using both sin waves in your example 1 to predict only one of them. I know with the sin waves it wouldn't make sense but you get the idea. Any thoughts on this? Thanks again
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