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**Is your feature request related to a problem? Please describe.**
Many real life datasets have categorical features, some of them meta data about a time series(static) and some of them varying with …
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1. [Handling Concept Drift in Global Time Series Forecasting](https://arxiv.org/pdf/2304.01512.pdf)
https://github.com/Neal-Liu-Ziyi/Concept_Drift_Handling
2. [Late Meta-learning Fusion Using Repres…
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I think the inferred frequency here is not used. Should we remove it?
https://github.com/Nixtla/neuralforecast/blob/09ce6d0075bbf287d78483d04f107dec7505fc5c/neuralforecast/data/tsdataset.py#L117
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I have read the Medium [example](https://medium.com/analytics-vidhya/forecasting-in-python-with-esrnn-model-75f7fae1d242) and executed the example. I understand from the [README](https://github.com/kd…
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Thank you for making this implementation available. Sorry if I missed It; Is there an easy way to obtain prediction intervals with your ES-RNN implementation?
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Thanks for making the model available!
Right now, as I see it, the RNN part of the model allows for one feature only. Would it be possible for you to extend the architecture to allow for an arbitra…
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Hi there,
I am working on building a forecasting ensemble pipeline that leverages a few different open source forecasting models, ESRNN, Keras, FBprophet, etc.
However, ESRNN is the only one tha…
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Hello
Getting this assertion error. There are no nans in the X_train_df and y_train_df.
Thank you in advance!
Regards
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How do you save the model if you want to use it to make predictions later?
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Hey, I am getting the following error. Do you think you can help? Thanks in advance!
model.fit(X_df, y_df)
Infered frequency: D
=============== Training ESRNN ===============
Traceback (most …