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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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Hi guys, awesome work!
I was exploring it and couldn't figure out how to use multivariate time series data as also told in your paper. Looking forward to the instructions.
nik13 updated
1 month ago
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Let's look at the following model:
```julia
function dot end
@model function foo(x, y)
local w
for i in 1:length(i)
w[i] ~ Normal(0, 1)
x[i] ~ Normal(0, 1)
end
…
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**Submitting author:** @bastien-mva (Bastien Batardiere)
**Repository:** https://github.com/PLN-team/pyPLNmodels.git
**Branch with paper.md** (empty if default branch): joss
**Version:** 0.0.78
**Edit…
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Hello,
I am currently working on constructing an MMM model, but the media data involved is multivariate in nature. To provide some context, the media features encompass not only costs but also includ…
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Hey,
How can i predict multivariate with multivariate? Where do i have to add the Targetfeatures in which format?
The reason im asking is the flag --target. In the description it says: "target f…
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### Issue description
I have a question regarding using PyPOTS (SAITS or other DL Models) for my own multivariate time series. On the GitHub homepage example the entire dataset was used with 10% miss…