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In exploration tooling, https://github.com/cmu-delphi/exploration-tooling/blob/bbcef76a822c36f78d32669ab7b0461dea7a2302/R/data_transforms.R#L38-L47, the forecasters that use epi_slide to do averaging/sd take ~5-10x as long as those that don't. It is unclear if this is specific to epi_slide or would hold for any method of doing this. Towards that end, we should do some profiling of epi_slide to make sure it isn't significantly slower than comparable methods, specifically for mean and standard deviation calculations.
The text was updated successfully, but these errors were encountered:
With the current implementation, we're unlikely to make epi_slide much faster. A fair amount of the runtime is slider setup and the actual computation (maybe 1/2-3/4 of total time), plus (lots of) low-level functions that are hard to replace.
In exploration tooling, https://github.com/cmu-delphi/exploration-tooling/blob/bbcef76a822c36f78d32669ab7b0461dea7a2302/R/data_transforms.R#L38-L47, the forecasters that use
epi_slide
to do averaging/sd take ~5-10x as long as those that don't. It is unclear if this is specific toepi_slide
or would hold for any method of doing this. Towards that end, we should do some profiling ofepi_slide
to make sure it isn't significantly slower than comparable methods, specifically for mean and standard deviation calculations.The text was updated successfully, but these errors were encountered: