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After reading the excellent paper(A Transformer-Based Framework for Multi-variate Time Series representation learning)，I'm interested in replicating the classification of HeartBeat(Dataset), especia…
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## Current Setup
If the data frame fed into the mechanistic estimation fn has several columns starting with *Pred_*, and *pred.label* is not
explicitly given as an input, it will take the first o…
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The current framework is too much oriented towards Computer Vision problems where there is already lots of available resources. It would be great if you can also focus on multivariate time series wher…
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@braverock suggested adding multivariate support for `mcsim()` which makes sense as the simulations are done using `tsboot()` from the `boot` package which is able to take univariate or multivariate t…
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This seems to be a single-variable prediction, which only uses the sequence information of the own variables of the time signal, does not use other features
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Right now we're restricted to comparing complexities of one variable, and that variable must be the same.
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# 5. CNN-LSTM — PseudoLab Tutorial Book
[https://pseudo-lab.github.io/Tutorial-Book/chapters/time-series/Ch5-CNN-LSTM.html](https://pseudo-lab.github.io/Tutorial-Book/chapters/time-series/Ch5-CNN-L…
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Hello everyone, I am new to GluonTS.
I saw in the documentation that an object "gluonts.model.forecast" has a function (copy_aggregate(agg_fun:Callable)) which aggregates and returns a new Forecast…
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The Spaceship-Titanic Dataset contains Multiple variables in both Train and test datasets which are Categorical in nature such as HomePlanet, CryoSleep, etc. Therefore, This issue is created to assign…
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I get this error while running the generate_alstmfcn function.
Please help.
x = AttentionLSTM(NUM_CELLS)(ip)