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There are a number of issues open for forecasting reducers (from forecasting to supervised regression and TSR), we should refactor and upgrade them.
All reducers (descendants of `_Reducer`) should …
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I have a question whether the pre-trained UniTS training dataset contains the test dataset. If so, then the training process of time series prediction and time series completion is essentially a self-…
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The reducers in the `forecasting.compose._reduce` module currently do not support in-sample forecasts.
For the direct forecasters, this should be easy to implement - use lagged features (and backfi…
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From our earlier discussion, I will try to summarize the "is it a reduction" question.
As you are familiar with math formalism, I will try to formulate this question using mathematical language.
…
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## Arxiv/Blog/Paper Link
[Blog](https://blog.research.google/2024/03/generative-ai-to-quantify-uncertainty.html)
[Arxiv](https://arxiv.org/pdf/2306.14066.pdf)
[Science Paper](https://www.science.…
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This is a collection of forecasters that could be made global:
* Please comment the missing one, I will extend the list in this case.
* If you would like to work on it, please write the name of t…
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For the API design proposal, see [this wiki entry](https://github.com/alan-turing-institute/sktime/wiki/Forecasting-API-proposal).
## Forecasters
### Atomic
- [x] NaiveForecaster (strategies={"l…
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### Description
`mlforecast` currently allows for recursive single-model forecasts, or direct multi-model forecasts where a single model is trained to predict a particular data point in the horizon…
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**Is your feature request related to a current problem? Please describe.**
When using a mixture of local and global models, the user needs to distinguish the model types.
Here's a list of pract…
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The summary page works great; shows the numbers correctly. But when a user tries to drill into a forecast category, it shows 0 opportunities (screenshots below). Any ideas why?
![image1](https://clou…