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What to do if I want to forecast multivariate time series?
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### Description
I have a very large dataset, around 500 gigabytes, which contains various folders and subfolders with multiple Excel files. Due to limited RAM, it is not possible to use these files…
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**Describe the bug**
I am currently using Darts TFT implementation for time-series prediction where the input is a multivariate time-series and the output is a univariate time-series. I successfully …
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Hi, I am trying to do a Multivariate Time Series Classification with PatchTST. Can someone provide me with an example?
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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
3 months ago
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Newer patterns to handle unequal length and multivariate data should be added to the classification tutorial.
* handling multivariate data using the "sum of independent distances" approach and arit…
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Hello!
I'm trying to use SHAP in time series forecast, let's say I have a multivariete time series with various exogenous time series, and I want to predict a univariete time series.
I want to u…
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Hi!Thank you for your excellent work! I've been working on an MTSC task recently, and is TimeMachine suitable for this kind of task?
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hi,
Cool library.
Is there a multivariate time series example.
Best,
Andrew