From ace57f0b6f6d935e94a44cb94218d0127183b2f5 Mon Sep 17 00:00:00 2001 From: giuseppec Date: Fri, 9 Aug 2024 04:08:17 +0000 Subject: [PATCH] Deploy from Github Actions build 10313408066 [ci skip] Build URL: https://github.com/giuseppec/iml/actions/runs/10313408066 Commit: 9c08213af03af28fe817f6e367421e9d6b6013dd --- articles/parallel.html | 14 +++++++------- pkgdown.yml | 2 +- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/articles/parallel.html b/articles/parallel.html index b158703c..52053809 100644 --- a/articles/parallel.html +++ b/articles/parallel.html @@ -147,7 +147,7 @@

Going parallel FeatureImp$new(predictor, loss = "mae") }) #> process real -#> 135.59ms 1.92s +#> 133.63ms 1.96s

A little bit of improvement, but not too impressive. Parallelization is more useful in the case where the model uses a lot of features or where the feature importance computation is repeated more often to get @@ -158,14 +158,14 @@

Going parallel FeatureImp$new(predictor, loss = "mae", n.repetitions = 10) }) #> process real -#> 3.33s 3.27s +#> 3.32s 3.27s bench::system_time({ plan("callr", workers = 2) FeatureImp$new(predictor, loss = "mae", n.repetitions = 10) }) #> process real -#> 138.01ms 2.79s +#> 137.44ms 2.79s

Interaction

@@ -184,8 +184,8 @@

Interactionplan("callr", workers = 2) Interaction$new(predictor, grid.size = 15) }) -#> process real -#> 116.3ms 4.82s

+#> process real +#> 118.53ms 4.94s

Feature Effects @@ -197,13 +197,13 @@

Feature Effects FeatureEffects$new(predictor) }) #> process real -#> 720ms 709ms +#> 720ms 708ms bench::system_time({ plan("callr", workers = 2) FeatureEffects$new(predictor) }) #> process real -#> 463.65ms 2.59s

+#> 473.62ms 2.43s diff --git a/pkgdown.yml b/pkgdown.yml index cdf8684b..b0f50549 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -4,4 +4,4 @@ pkgdown_sha: ~ articles: intro: intro.html parallel: parallel.html -last_built: 2024-08-08T04:07Z +last_built: 2024-08-09T04:07Z