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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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When running the code like below, getting an error that ends up with
"RuntimeError:
Numpy is not available"
Fixed by downgrading numpy with
pip install numpy torch.Tensor:
'''
Mult…
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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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Dear Professor Gómez-Rubio,
I am trying to implement your multivariate effects, particularly the PMCAR, for multiple likelihoods using INLA. Your book helped me figure out how to structure univaria…
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Hello, I found iTransformer really impressive and it had potentials for my own task. I have a question that, how can iTransformer be applied to mixed frequency data? That is, I hope to use multivariat…
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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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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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**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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Some requirements/features around multivariate data:
- System should support data layers that comprise of more than one data variable.
- Data variables should include common metadata (e.g. name, descr…
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### What happened + What you expected to happen
Using exogenous variables in `TimeMixer` model, whether historical or future, leads to an error message. As a result, the model can currently not be us…