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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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Hello,
I am currently working on time series forecasting of electricity data. After searching through your repository, I couldn't find the file electricity.csv. Additionally, I couldn't locate it i…
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A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
Description: Predict maintenance needs…
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**Is your feature request related to a problem? Please describe.**
sktime currently lacks built-in tools for model explainability, making it difficult for users to interpret and understand the pred…
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Darts has established itself as a premier time series forecasting library. Adding multi-horizon time series classification support would solidify its position and significantly benefit researchers and…
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Does this package support time series forecasting of intermittent or block demand?
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- PyTorch-Forecasting version: 1.0.0
- PyTorch version: Latest
- Python version: 3.10
- Operating System: macOS Ventura
I have experience in time series forecasting using the Darts library. No…
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It would be nice to have a clean implementation of the "official" EnbPI algorithms in `sktime` or `skpro`. While we do have conformal prediction algorithms, these are not the "originals".
Some of t…
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i already do
`finetune_forecast_trainer.evaluate(test_dataset)`
but how i use it to make inferention ?
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@sktime/core-developers, @Xinyu-Wu-0000, @fnhirwa, I think we ought to untangle terminology for "global" in the code base and especially in user facing documentation and tutorial notebooks.
Current…