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# neural-forecast
s
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c
Hi @rahul bahadur! Yes, you can use the
save
and
load
functionality to simply load a previously trained model. Every time you have more data you can call the
fit
method on the updated data to continue the training.
Two considerations: 1. It wont be trained only on the new data, but rather sample random timestamps on the whole history. You can drop the oldest history to focus the model on the latest data. 2. You probably dont need to update the model every time you have a new single data point, it will be expensive/time consuming and the model wont change a lot.
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