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autogluon has a higher level api that allows for covariates using regression and fine-tuning of chronos. Also, the predict method allows for multiple different "item_id" values to perform batch inference across multiple time series. https://auto.gluon.ai/stable/tutorials/timeseries/forecasting-chronos.html#incorporating-the-covariates |
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@Claire-bx this will be resolved by Chronos-2. Coming soon: #319 |
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Dear Chronos Team,
I hope this message finds you well. I have a couple of questions regarding the Chronos framework:
Does Chronos currently support multivariate time series prediction (i.e., multiple IDs simultaneously)?
I noticed that the latest ChronosX mentions the ability to use covariates as input, but I could not find guidance on how to use them. Does this mean that, at present, the models available for zero-shot or fine-tuning can only perform historical sequence → future sequence prediction and cannot incorporate covariate inputs?
Thank you very much for your time and assistance. I look forward to your guidance.
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