param_set attribute is not populating properly #256
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The param_set attribute does populate properly when I follow the examples in the online book. I always receive the response "Empty parameter set." This result does not change no matter which learner I use. I updated R and re-installed all the packages and am getting the same error every time. For example when I execute the code here: https://mlr3book.mlr-org.com/searchspace.html I still receive the 'Empty parameter set.' response. Code: Execution Result:
Thanks! |
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Replies: 1 comment 2 replies
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You can compare your environment with the below one. The mlr3book usually only uses the CRAN versions of the pkgs and we see no issues here. library("mlr3verse")
#> Loading required package: mlr3
task <- tsk("pima")
print(task)
#> <TaskClassif:pima> (768 x 9)
#> * Target: diabetes
#> * Properties: twoclass
#> * Features (8):
#> - dbl (8): age, glucose, insulin, mass, pedigree, pregnant, pressure,
#> triceps
task$backend # show that data is loading
#> <DataBackendDataTable> (768x10)
#> pregnant glucose pressure triceps insulin mass pedigree age diabetes ..row_id
#> 6 148 72 35 NA 33.6 0.627 50 pos 1
#> 1 85 66 29 NA 26.6 0.351 31 neg 2
#> 8 183 64 NA NA 23.3 0.672 32 pos 3
#> 1 89 66 23 94 28.1 0.167 21 neg 4
#> 0 137 40 35 168 43.1 2.288 33 pos 5
#> 5 116 74 NA NA 25.6 0.201 30 neg 6
#> [...] (762 rows omitted)
learner <- lrn("classif.rpart")
learner$param_set
#> <ParamSet>
#> id class lower upper nlevels default value
#> 1: cp ParamDbl 0 1 Inf 0.01
#> 2: keep_model ParamLgl NA NA 2 FALSE
#> 3: maxcompete ParamInt 0 Inf Inf 4
#> 4: maxdepth ParamInt 1 30 30 30
#> 5: maxsurrogate ParamInt 0 Inf Inf 5
#> 6: minbucket ParamInt 1 Inf Inf <NoDefault[3]>
#> 7: minsplit ParamInt 1 Inf Inf 20
#> 8: surrogatestyle ParamInt 0 1 2 0
#> 9: usesurrogate ParamInt 0 2 3 2
#> 10: xval ParamInt 0 Inf Inf 10 0Created on 2021-08-26 by the reprex package (v2.0.1) Session infosessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.1.1 (2021-08-10)
#> os macOS Big Sur 10.16
#> system x86_64, darwin17.0
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz Europe/Zurich
#> date 2021-08-26
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date lib
#> assertthat 0.2.1 2019-03-21 [1]
#> backports 1.2.1 2020-12-09 [1]
#> bbotk 0.3.2 2021-03-18 [1]
#> checkmate 2.0.0 2020-02-06 [1]
#> cli 3.0.1 2021-07-17 [1]
#> clue 0.3-59 2021-04-16 [1]
#> cluster 2.1.2 2021-04-17 [1]
#> clusterCrit 1.2.8 2018-07-26 [1]
#> codetools 0.2-18 2020-11-04 [2]
#> colorspace 2.0-2 2021-06-24 [1]
#> crayon 1.4.1 2021-02-08 [1]
#> data.table 1.14.0 2021-02-21 [1]
#> DBI 1.1.1 2021-01-15 [1]
#> digest 0.6.27 2020-10-24 [1]
#> distr6 1.5.6 2021-07-17 [1]
#> dplyr 1.0.7 2021-06-18 [1]
#> ellipsis 0.3.2 2021-04-29 [1]
#> evaluate 0.14 2019-05-28 [1]
#> fansi 0.5.0 2021-05-25 [1]
#> fs 1.5.0 2020-07-31 [1]
#> future 1.21.0 2020-12-10 [1]
#> generics 0.1.0 2020-10-31 [1]
#> ggplot2 3.3.5 2021-06-25 [1]
#> globals 0.14.0 2020-11-22 [1]
#> glue 1.4.2 2020-08-27 [1]
#> gtable 0.3.0 2019-03-25 [1]
#> highr 0.9 2021-04-16 [1]
#> htmltools 0.5.1.1 2021-01-22 [1]
#> knitr 1.33 2021-04-24 [1]
#> lattice 0.20-44 2021-05-02 [2]
#> lgr 0.4.2 2021-01-10 [1]
#> lifecycle 1.0.0 2021-02-15 [1]
#> listenv 0.8.0 2019-12-05 [1]
#> magrittr 2.0.1 2020-11-17 [1]
#> Matrix 1.3-4 2021-06-01 [2]
#> mlr3 * 0.12.0-9000 2021-08-26 [1]
#> mlr3cluster 0.1.1 2020-11-15 [1]
#> mlr3data 0.5.0 2021-06-29 [1]
#> mlr3extralearners 0.5.1 2021-08-10 [1]
#> mlr3filters 0.4.2 2021-07-12 [1]
#> mlr3fselect 0.5.1 2021-03-09 [1]
#> mlr3learners 0.5.0 2021-08-17 [1]
#> mlr3misc 0.9.3.9000 2021-08-23 [1]
#> mlr3pipelines 0.3.5-1 2021-08-05 [1]
#> mlr3proba 0.4.0 2021-04-18 [1]
#> mlr3tuning 0.8.0 2021-03-12 [1]
#> mlr3verse * 0.2.2 2021-08-11 [1]
#> mlr3viz 0.5.5 2021-08-12 [1]
#> munsell 0.5.0 2018-06-12 [1]
#> palmerpenguins 0.1.0 2020-07-23 [1]
#> paradox 0.7.1 2021-03-07 [1]
#> parallelly 1.27.0-9001 2021-08-10 [1]
#> pillar 1.6.2 2021-07-29 [1]
#> pkgconfig 2.0.3 2019-09-22 [1]
#> purrr 0.3.4 2020-04-17 [1]
#> R.cache 0.15.0 2021-04-30 [1]
#> R.methodsS3 1.8.1 2020-08-26 [1]
#> R.oo 1.24.0 2020-08-26 [1]
#> R.utils 2.10.1 2020-08-26 [1]
#> R6 2.5.1 2021-08-19 [1]
#> R62S3 1.4.1 2020-03-09 [1]
#> Rcpp 1.0.7 2021-07-07 [1]
#> rematch2 2.1.2 2020-05-01 [1]
#> reprex 2.0.1 2021-08-05 [1]
#> rlang 0.4.11 2021-04-30 [1]
#> rmarkdown 2.10.4 2021-08-23 [1]
#> rstudioapi 0.13 2020-11-12 [1]
#> scales 1.1.1 2020-05-11 [1]
#> sessioninfo 1.1.1 2018-11-05 [1]
#> set6 0.2.3 2021-07-25 [1]
#> stringi 1.7.3 2021-07-16 [1]
#> stringr 1.4.0 2019-02-10 [1]
#> styler 1.5.1.9001 2021-08-23 [1]
#> survival 3.2-11 2021-04-26 [2]
#> tibble 3.1.3 2021-07-23 [1]
#> tidyselect 1.1.1 2021-04-30 [1]
#> utf8 1.2.2 2021-07-24 [1]
#> uuid 0.1-4 2020-02-26 [1]
#> vctrs 0.3.8 2021-04-29 [1]
#> withr 2.4.2 2021-04-18 [1]
#> xfun 0.25 2021-08-06 [1]
#> yaml 2.2.1 2020-02-01 [1]
#> source
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> standard (@2.0.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.1)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> standard (@0.5.1.1)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.1)
#> CRAN (R 4.1.0)
#> standard (@1.0.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.1)
#> local
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> Github (mlr-org/mlr3extralearners@3655cce)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.1)
#> Github (mlr-org/mlr3misc@e02079a)
#> CRAN (R 4.1.1)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.1)
#> CRAN (R 4.1.1)
#> standard (@0.5.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> Github (HenrikBengtsson/parallelly@d050eba)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> standard (@0.3.4)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.1)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> standard (@2.1.2)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> Github (rstudio/rmarkdown@75e8f71)
#> CRAN (R 4.1.0)
#> standard (@1.1.1)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> standard (@1.4.0)
#> Github (r-lib/styler@2b1eeac)
#> CRAN (R 4.1.1)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> CRAN (R 4.1.0)
#> standard (@2.2.1)
#>
#> [1] /Users/pjs/Library/R/x86_64/4.1/library
#> [2] /Library/Frameworks/R.framework/Versions/4.1/Resources/library |
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Thanks for looking into this. I have found that regularly resetting R within RStudio seems to resolve the problem. I was able to attribute the majority of instances to having previously loaded the MLR package (library("mlr")), however, it has intermittently occurred independently as well. Based on limited testing with the R Gui, there is no evidence of it occurring spontaneously in that environment. It is probably a configuration issue with my local machine. |
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Starting in a fresh R session, especially when reprexing an issue, is always very advisable 👍 |
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You can compare your environment with the below one. The mlr3book usually only uses the CRAN versions of the pkgs and we see no issues here.