#neural-forecast

Title

m

marah othman

09/05/2023, 8:31 AMI have a question about RNN Models do these models in the training stage predict one by one or all the sequences at once?

c

Cristian (Nixtla)

09/05/2023, 5:35 PMHi **@marah othman**! The step size is one, so they make predictions one by one (not the entire sequence at once). However, each prediction will consist of

`h`

future values, and those `h`

values are produced at once.So for example if

`h=3`

, at timestamp `t`

it will first produce the forecast for `t+1`

, `t+2`

, and `t+3`

simultaneously. Then it will move once, to `t+1`

, and forecast for `t+2`

, `t+3`

, and `t+4`

. And so ona

Antoine SCHWARTZ -CROIX-

09/06/2023, 10:02 AMHi **@Cristian (Nixtla)**, I know we've already had a quick chat about this, but are you planning in your short-term roadmap to add the option allowing you to dynamically recalculate lag features on the target at each step, for all recursive approaches (like in MLForecast) ?

m

marah othman

09/08/2023, 11:35 AMHi **@Cristian (Nixtla)** ,I mean by all the sequences at once I meant the whole horizon
So for example if

`h=3`

, at timestamp `t`

it will first produce the forecast for `t+1`

, `t+2`

, and `t+3`

simultaneously. Then it will move once, to `t+1`

, and forecast for `t+2`

, `t+3`

, and `t+4`

. And so on
like what you explain hereI mean (and those

`h`

values are produced at once.) that is what I am asking if at once or one by one.2 Views