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#### Description
There is an issue with the historical_forecast method in the library when working with multi-entity datasets and models that support global training.
The method currently processes…
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Time series data can be naturally clamped at a limit - could be lower limit or upper limit.
Provide an option to the user to set this limit such that the predictions and intervals do not cross it.
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**Is your feature request related to a problem? Please describe.**
- `EnsembleForecaster` does not have`_predict_interval capabilities
**Describe the solution you'd like**
- Add a check that all …
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### What is your idea, and how did you implement it?
-Identify a Problem or Opportunity: Start by identifying a problem or opportunity you want to address with your project. Consider areas where ther…
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We have a number of providers in the grid-intensity-go project, and I recently learned that open data exists for hourly carbon intensity figures for electricity consumption, for every balancing author…
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### System Info
- `transformers` version: 4.42.3
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.10.14
- Huggingface_hub version: 0.23.4
- Safetensors version: 0.4.3
- Accelerate…
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I have trained several MixedCovariatesTorchModel families for forecasting models. Is there a way to use only the encoder to extract embeddings from past covariates during inference?
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It would be really nice to have the entity embedding model to become part of the family of algorithms
at gensim.
[Here](https://gist.github.com/shubham0704/78ffcb38756c7c0bcdf84e0d4f53baf8) is a sh…
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We need to develop (and maintain) a good base image for SDS 2.0 guest VMs, which will be used for GPU enabled VMs which AI research experts will be able access in private and be root on.
This card is…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Bayesian Optimization is a sequential model-based optimization technique that uses Bayesia…