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How to encode categorical data for a convolutional model?

It is a common practice to encode categorical data using embedding layers. In your case, it seems like you have a stream of discrete (categorical) input and you want to use a 1d convolution (you could ...
ereisr's user avatar
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Multi-Variate Time-Series forecasting with XGBoost

You should predict those features with a simpler model, like an ARIMA model.
HEH's user avatar
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1 vote

How do I prepare a multi group time series dataset into a supervised learning one?

For your first question, more details about your task would be helpful to effectively answer it, but, from what I can gather, I think the best way is for your input to the LSTM to be all of the ...
Jayson Meribe's user avatar

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