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Some discussion on this topic is written down in the meeting |notes for the 2024-Feb-28 meeting](https://github.com/team-sx/iwxxm-sx/wiki/Aerodrome-MET-Observation-and-Forecast-Discussion-2024-Feb-28)…
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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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### 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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**Is your feature request related to a current problem? Please describe.**
If we want to check if a model supports a feature (multivariate or static covariates), we must initialize it first before ha…
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The [Amazon Sustainabilty Data Initiative (ASDI)](https://sustainability.aboutamazon.com/environment/the-cloud/amazon-sustainability-data-initiative#data-availability) is funding work to expand the us…
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Classifiers have a `predict_proba` method that makes it possible to quantify probabilistic ally the certainty in the predictions for a given input `X_i`.
Currently most regressors in scikit-learn o…
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### Initial request
ECMWF is interested in storing verification scores in GRIB2 in a near future.
With the existing GRIB2 templates, it is not possible to properly encode verification scores. T…
sebvi updated
1 month ago
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Hi,
I am trying to make forecasts similar to examples in Structural_Time_Series_Modeling_Case_Studies_Atmospheric_CO2_and_Electricity_Demand.ipynb. One major differences is that I have multiple lists…
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## Question
For some of our practical meteorological applications we need to deal with probability distributions and probabilistic forecasts that are made via empirical distributions (so-called "en…
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