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capture relationships between categorical data like time series ID and other groupings. Helpful in deep learning models, not sure if helpful in standard multivariate ML models.
Create embeddings f…
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- PyTorch-Forecasting version: v.0.8.3
- PyTorch version: 1.7
- Python version: 3.7
- Operating System: Ubuntu 18.04
### Expected behavior
I executed code from the tutorial to work with the D…
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Enabling Predictive Analytics In kabaddiPy Module There is a feature where people can predict and based on historical data whether any team can win the Kabaddi match or not.
**Key Features:**
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http://www.mdpi.com/1099-4300/20/3/209
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Hey @alejandroschuler! Is it possible to create an MDN with ngboost? That is combine multiple distributions (in the most general case, from different families) to predict the output of interest?
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**Is your feature request related to a problem? Please describe.**
It is somewhat unintuitive, that the model returns a standard error in the univariate case and but not in the multivariate case (due…
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Umbrella issue for collecting, consolidating, and prioritizing roadmap items for the 2023-2024 increment.
How to contribute:
* user or developer - community suggestions appreciated in this threa…
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**Is your feature request related to a problem? Please describe.**
Some of the forecaster are only capable of doing fixed length predictions. E.g., KanForecaster most reduction based forecaster, ... …
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First of all, thanks for this amazing library! It has made my work a lot easier.
**Is your feature request related to a current problem? Please describe.**
I'm wrapping a probabilistic forecasting…
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As @benHeid pointed out, there may be some redundant code in `TransformedTargetForecaster._get_inverse_transform`, which seems to duplicate column broadcasting for transformers.
Possibly it is need…