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Dear authors,
This is a very nice work! And I made it run on my laptop successfully.
There is a thing that I feel a little bit confused.
On example 14, besides the codes the authors provide, I…
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Expand forecasting using GluonTS Quantile Estimates. Ref. [Probabilistic Forecasting](https://ts.gluon.ai/examples/extended_forecasting_tutorial/extended_tutorial.html#5.2-Probabilistic-forecasting)
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### What happened + What you expected to happen
Is it possible in Nixtla to use the predict method to extend the forecasting over the whole test set length? e.g. train a NeuralForecast model to predi…
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Hi,
would you accept a PR for a DM-test version that accepts `scores_1`, `scores_2` as inputs instead of the original prices and point forecasts? That way, the DM test could as well be used for pr…
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Hello there, there are a few other approaches to this that I have seen and wondered if they are on your radar.
Bellman Conformal Inference (BCI) - optimises prediction intervals for time series …
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https://www.semafor.com/article/02/14/2024/windborne-takes-the-ai-weather-prediction-crown
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We should think about how best to resolve the partial duplications between `sktime` and `skpro` related to probability distributions and metrics, in terms of end state and transition strategy. Quickly…
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Hello,
I'm currently working with a dataset of over 500,000 rows and facing performance issues during the prediction phase with the Lag-Llama model. The process is considerably slow, and I'm expl…
hnczj updated
2 weeks ago
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Conformal predictions could be a valuable addition to darts.
It would require some brain storming/planning of how (or if) we can integrate this into our API / extend the API.
Some links:
- htt…
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Exogenous variables are supported for AutoCES in statsforecast library but the support for future covariates is missing in Darts. It would be great if you could add this feature.