Comments (1)
Hi @garagevibes, of cause you can. What you have mentioned is one way to do it. If you think about it, all that the model cares about is the input, and it will return you the next value. If you want to get the next 2 values, the easiest way is, like you said, feed the result and predict again, like so:
[1,2,3,4] => [5]
[2,3,4,5] => [6]
Where [1,2,3,4]
is your initial values, which predicts 5
. Feed 5
into the input, [2,3,4,5]
to get the next value.
Note that, if your data is already weekly, then the next value is also weekly.
Another way is, if your work always requires a series of outputs, then that will require to build another type of model. That is called the sequence to sequence model
. For example, given a series of 50 values, predict the next 7 values.
from time-series-forecasting-tensorflowjs.
Related Issues (11)
- Ошибочный шаг HOT 1
- Sample Data format
- Feature - Save and Load model
- Predicting 51st day of stock's close price HOT 1
- Data source, SMA calculation and Y outputs offsets HOT 7
- Validate is a flat line for values unseen y HOT 3
- We are Integrating your "Experiment" into Superalgos HOT 2
- Strange results HOT 8
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from time-series-forecasting-tensorflowjs.