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Consolidate R methods #3099
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enhancement
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@gmcaixeta I might be mistaken, but I think it is already available here: https://github.com/awslabs/gluonts/blob/dev/src/gluonts/ext/statsforecast.py#L159 |
@melopeo Sorry, my mistake. |
Link to more recent R test failure (log linked in OP has expired): https://github.com/awslabs/gluonts/actions/runs/9176392521/job/25231547428 |
lostella
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*Issue #, if available:* See also #3099 By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice. **Please tag this pr with at least one of these labels to make our release process faster:** BREAKING, new feature, bug fix, other change, dev setup
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*Issue #, if available:* See also awslabs#3099 By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice. **Please tag this pr with at least one of these labels to make our release process faster:** BREAKING, new feature, bug fix, other change, dev setup
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*Issue #, if available:* See also awslabs#3099 By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice. **Please tag this pr with at least one of these labels to make our release process faster:** BREAKING, new feature, bug fix, other change, dev setup
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There are currently three versions of ARIMA methods:
The latter requires special handling in the Python wrapper class, and is currently failing some test.
We should probably consolidate how features are handled, and have a single ARIMA method. For example: doing all feature preprocessing (including constructing seasonal features) in Python rather than R, and keep the R code as a very thin interface layer.
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