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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…
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### Package:
https://aur.archlinux.org/pkgbase/llama.cpp-git
### Purpose:
llama.cpp is a port of Facebook's llama model in C/C++, and supports running many large language models (llms).
This pkg…
jlo62 updated
2 weeks ago
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Hello,
I'm currently working with a dataset of over 500,000 rows and facing performance issues during the prediction phase with the Lag-Llama model. The process is considerably slow, and I'm expl…
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Why repeat here? The results generated after repeat (i.e. the parameters of the distribution) should be the same, right? What is the significance of this?
https://github.com/time-series-foundation-…
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Hi all,
I have encountered the error below on while running the following line of "Lag_Llama_Fine_Tuning_Demo.ipynb",
`
predictor = estimator.train(dataset.train, cache_data=True, shuffle_b…
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Hello and thank you for the model. I'm experimenting with my dataset, and one kind of systematic error I found are charts like below, where the first prediction point is way off the latest known point…
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ataset: traffic Total train points: 12086964 Total val points: 981818
Dataset: kdd_cup_2018_without_missing Total train points: 2925624 Total val points: 307530
Dataset: saugeenday Total train point…
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Hi all,
Thank you for open-sourcing this library.
I am working on the task of anomaly detection in multivariate time series data. I would like to know how to use Lag-Llama to accomplish this. Is…
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How to pre-train the lag-llama model with multivariate time series data?
For example:
num_time_steps = 300
data = [
{
"start": pd.Timestamp("2020-01-01", freq="D"),
"targ…
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I reported in another issue that the most recent `pytorch-lightning` does not work with `lag-llama`. I also tried a few version combinations among pytorch, pytorch-lightning, and gluonts. Eventually I…