Sebastian Fischer
Sebastian Fischer
Some of the default values in parameter sets can currently not be expressed because they contain expressions. E.g. a parameter `seed` might be an `integer()` but the default is `sample.int(100)`....
https://stackoverflow.com/questions/74462621/rewriting-paramset-ids-from-mlr3paradox?noredirect=1#comment131836530_74462621
In the cubist regr learner, there is a parameter whose default is `sample.int(4096, size = 1)` which should be displayed in the help page of the learner constructed by `rd_info`....
For parameter sets with functional parameters the parameter table contains the function source code as can be seen in the example below ``` r library(mlr3extralearners) learner = lrn("classif.C50") learner$help() ```...
I guess we can also link to: https://mlr-org.com/tuners.html cc @berndbischl
see https://stackoverflow.com/questions/77855462/error-when-performing-hpo-with-hyperband-and-mbo-with-helper-function-auto-tuner
``` r torchvision::transform_random_rotation(torch::torch_randn(3, 10, 10), degrees = 3) #> Error in if (mode == "bilinear") {: missing value where TRUE/FALSE needed ``` Created on 2023-12-01 with [reprex v2.0.2](https://reprex.tidyverse.org)