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Inference with long sequence dataset #99
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When finetuning, you can use the specific prediction length you want to finetune for. You can set it in the run script as At inference, you can always set a different (larger or smaller) prediction length too. |
Thanks for the reply. |
That's the only way supported now. |
Sorry, but I beg you for few more questions please.
Thanks. |
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Hi, thanks for the project. I am really interested in it.
But while finetuning with my own dataset, I've got confused.
Here's what I understood:
Am I understanding right?
And how can I forecast long sequences?
For example,
I have fintuned the model and have 100k sequences of time series dataset for test.
I want to forecast(predict) all of them except the first {context_size} of test dataset.
Should I just get {prediction_length} larger? or am I understanding something wrong?
Thank you, hope for your reply.
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