Description of changes:
Another simple model whose prediction is an aggregate of past values according to the seasonality. The number of seasons as well as the aggregate function can be provided. The special case num_seasons = 1 corresponds to the SeasonalNaive predictor.
Added several test cases for different aggregate functions including the following edge cases:
not enough data is available,
missing values are not imputed.
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
Issue #, if available:
Description of changes: Another simple model whose prediction is an aggregate of past values according to the seasonality. The number of seasons as well as the aggregate function can be provided. The special case
num_seasons = 1corresponds to theSeasonalNaivepredictor.Added several test cases for different aggregate functions including the following edge cases:
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