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When we forecast futures values, there is always uncertainty around the values that needed to be quantified. This is called risk. It would be nice if we can provide a probabilistic forecast around the…
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It would be great if one or more surface variables related to solar energy for solar power forecasting, like downward short-wave radiation flux/surface solar radiation downwards or total cloud cover, …
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There is a failure on `main` related to `evaluate` failing with quantile forecasts, specifically `test_evaluate_with_window_splitters`. Full diagnostic output can be seen here: https://github.com/skti…
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Tracking updates of www.verizonmedia.com
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MAPIE is one of the more popular "favourite algorithm" repositories in the probabilistic supervised learning space.
Their scope is more geared towards multiple tasks (incl classification, time seri…
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**Is your feature request related to a problem? Please describe.**
Plotting confidence intervalls with the current plot function `from sktime.utils.plotting import plot_series` is not well suitable i…
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Tracking updates of www.verizonmedia.com
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微博内容精选
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### What happened + What you expected to happen
1. I follow MSTL tutorial from MultipleSeasonalities notebook (`https://github.com/Nixtla/statsforecast/blob/main/nbs/docs/tutorials/MultipleSeasonal…
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### Describe the feature or idea you want to propose
Currently, you cannot use any deep learners without installing tensorflow-probability. This is not used in the deep learners and so should not b…