Comments (2)
dashaub
commented on July 18, 2024
Hmm, this one might be a little tricky to fix elegantly. It looks like this problem surfaced after we implemented parallelization on the the cvts() function since the parallel runners need to be sent all of the packages that are needed for a fit and forecast. The easiest fix to this would be to add an argument to the cvts() function where the user passes in a vector of strings of all of the packages that are needed. That's a little clunky, so I'll see if there is any way to automatically detect which packages are used in FUN and FCFUN.
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dashaub
commented on July 18, 2024
Usage has been updated. There were a few things going on here (one about package imports for parallelization above) and also #81 .
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Related Issues (20)
- forecastHybrid CRAN update needed HOT 1
- Using forecastHybrid with hts HOT 3
- debug cvts refactor
- unclear forecast value for R timeseries HOT 4
- ts object not recognised in hybridModel of forecastHybrid package HOT 9
- Forecast using new ts data and an existing (ie previously fit) model HOT 1
- ExtractForecasts HOT 2
- add snaive model
- Matrix of weights HOT 2
- libcudart version HOT 2
- Error with two regressors HOT 7
- Forecast reconciliation HOT 2
- Restrict to a single core HOT 4
- Adding ARFIMA models.
- Computation of residuals HOT 1
- CV of an hybrid model with xreg.
- Idea: Add Facebook's Pophet model
- CV ggplot2::economics HOT 1
- Error on extractForecasts() from a Hybrid Model with cross validation HOT 1
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