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I think it would be good to add time measurement to each step in runPlp and the total time. I already did so in the arrow branch when I was comparing the old and new performance. See example here in createStudyPopulation .
This requires putting the following as he first thing the function executes:
startTime<- Sys.time()
And at the end of the function as the last thing it executes:
delta<- Sys.time() -startTimeParallelLogger::logInfo("Creating study population took ", signif(delta, 3), "", attr(delta, "units"))
Replacing the text in logInfo with what is appropriate for the function.
Functions which I believe would be useful to add timings to:
createStudyPopulation
splitData
sampleData
featureEngineer
preprocessData (there might be one already in tidyCovariates, in that case it can be skipped here)
fitPlp
predictPlp
evaluatePlp
covariateSummary
runPlp
The text was updated successfully, but these errors were encountered:
I think it would be good to add time measurement to each step in runPlp and the total time. I already did so in the arrow branch when I was comparing the old and new performance. See example here in
createStudyPopulation
.This requires putting the following as he first thing the function executes:
And at the end of the function as the last thing it executes:
Replacing the text in
logInfo
with what is appropriate for the function.Functions which I believe would be useful to add timings to:
createStudyPopulation
splitData
sampleData
featureEngineer
preprocessData
(there might be one already intidyCovariates
, in that case it can be skipped here)fitPlp
predictPlp
evaluatePlp
covariateSummary
runPlp
The text was updated successfully, but these errors were encountered: