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[DOC] sort slightly disordered forecasting API reference #4815

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merged 2 commits into from Jul 9, 2023

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@fkiraly fkiraly commented Jul 3, 2023

The estimators in the forecasting API reference were slightly disordered, some estimators were sorted in the wrong category.
The mismatches were mostly statsforecast based estimators which were mistakenly added below the first such model - in the ARIMA category, even though they didn't belong there.

I made the following changes:

  • sorted the statsforecast models in the right categories, Auto-Theta, Auto-ETS and -CES need to go in the exponential smoothing category
  • split the AR/MA category into plain (V)AR(I)MAX and Auto-ARIMA models
  • added an intermittent time series category

@fkiraly fkiraly added documentation Documentation & tutorials module:forecasting forecasting module: forecasting, incl probabilistic and hierarchical forecasting labels Jul 3, 2023
@fkiraly fkiraly merged commit 0c59f9d into main Jul 9, 2023
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@fkiraly fkiraly deleted the sort-statsforecast branch July 9, 2023 18:07
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