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Hi,
I am trying to test Lagllama on a prediction task. the dataset i feed is what i use for context. then using that context, i want it to make predictions. however, the first step of the predictions…
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GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
https://arxiv.org/abs/2410.11841
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Hi! Do you support exogeneous variables for zero-shot predictions and training from scratch? As I see gluonts supports it like static and dynamic features but not sure this works for lag-llama too
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**Topic**
Data ingress and preprocessing pipelines
**How is the topic relevant to the tric-dt themes?**
**How does it relate to the wider topic of digital twinning?**
Efficient data access, pr…
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Hi lag-llama team,
Thank you for developing this project, it's a highly valuable resource.
I wasn't able to find the lag-llama package on PyPI, which makes it a bit challenging to integrate into …
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Hello, thank you very much for providing such an excellent idea and implementation. However, the performance of my anomaly detection run has not reached the level stated in your paper. Could you pleas…
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@sktime/core-developers, @XinyuWuu, @fnhirwa, I think we ought to untangle terminology for "global" in the code base and especially in user facing documentation and tutorial notebooks.
Currently, i…
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Hi! and thankyou for your excellent contribution to the world of time series!
I am currently using lag llama for finetuning, and was wondering if you had any rules of thumb for fine tuning yet?
I …
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Hello, it's Arthur,
Thank you for your great work.
I would like to ask whether it is possible to get the specific lag indices you use during the pre-training or zero-shot phases.
In the Colab tut…