我在使用mlr绘制部分依赖图时遇到了问题。不知为何，图中显示的不是概率，而是类别标签。我怀疑在创建部分依赖数据时，目标可能丢失了。
有什么建议吗？
library(mlr)library(dplyr)library(ranger)# 选择子集iris_bin <- iris %>% filter(Species != "virginica") %>% mutate(bin_target = ifelse(Species == "setosa", TRUE, FALSE)) %>% select(-Species)# 拟合模型task_bin <- makeClassifTask(data = iris_bin, target = "bin_target")lrn_bin <- makeLearner("classif.ranger", predict.type = "prob")fit_bin <- train(lrn_bin, task_bin)# 创建部分依赖图pd <- generatePartialDependenceData(fit_bin, task_bin, "Sepal.Length")pd # 目标是否正确？#> PartialDependenceData#> Task: iris_bin#> Features: Sepal.Length#> Target: FALSE#> Derivative: FALSE#> Interaction: FALSE#> Individual: FALSE#> FALSE Sepal.Length#> 1: 0.4920347 4.3#> 2: 0.4920347 4.6#> 3: 0.4935947 4.9#> 4: 0.4945947 5.2#> 5: 0.5104600 5.5#> 6: 0.5107800 5.8#> ... (#rows: 10, #cols: 2)plotPartialDependence(pd)
这是我当前会话的详细信息，也许这能帮上忙？
Session info --------------------------------------------- setting value version R version 3.4.2 (2017-09-28) system x86_64, mingw32 ui RStudio (1.1.383) language (EN) collate German_Germany.1252 tz Europe/Berlin date 2018-03-29 Packages ---------------------------------------------------- package * version date source assertthat 0.2.0 2017-04-11 CRAN (R 3.4.3) backports 1.1.2 2017-12-13 CRAN (R 3.4.3) base * 3.4.2 2017-09-28 local BBmisc 1.11 2017-03-10 CRAN (R 3.4.3) bindr 0.1.1 2018-03-13 CRAN (R 3.4.2) bindrcpp * 0.2 2017-06-17 CRAN (R 3.4.3) checkmate 1.8.5 2017-10-24 CRAN (R 3.4.3) colorspace 1.3-2 2016-12-14 CRAN (R 3.4.3) compiler 3.4.2 2017-09-28 local data.table 1.10.4-3 2017-10-27 CRAN (R 3.4.3) datasets * 3.4.2 2017-09-28 local devtools 1.13.5 2018-02-18 CRAN (R 3.4.3) digest 0.6.15 2018-01-28 CRAN (R 3.4.3) dplyr * 0.7.4 2017-09-28 CRAN (R 3.4.3) ggplot2 2.2.1.9000 2018-03-26 Github (tidyverse/ggplot2@3c9c504) glue 1.2.0 2017-10-29 CRAN (R 3.4.3) graphics * 3.4.2 2017-09-28 local grDevices * 3.4.2 2017-09-28 local grid 3.4.2 2017-09-28 local gtable 0.2.0 2016-02-26 CRAN (R 3.4.3) labeling 0.3 2014-08-23 CRAN (R 3.4.1) lattice 0.20-35 2017-03-25 CRAN (R 3.4.2) lazyeval 0.2.1 2017-10-29 CRAN (R 3.4.3) magrittr 1.5 2014-11-22 CRAN (R 3.4.3) Matrix 1.2-11 2017-08-21 CRAN (R 3.4.2) memoise 1.1.0 2017-04-21 CRAN (R 3.4.3) methods * 3.4.2 2017-09-28 local mlr * 2.13 2018-03-28 Github (mlr-org/mlr@a9036e3) mmpf * 0.0.4 2017-12-05 CRAN (R 3.4.4) munsell 0.4.3 2016-02-13 CRAN (R 3.4.3) parallel 3.4.2 2017-09-28 local parallelMap 1.3 2015-06-10 CRAN (R 3.4.3) ParamHelpers * 1.11 2018-02-19 Github (berndbischl/ParamHelpers@59c649e) pillar 1.2.1 2018-02-27 CRAN (R 3.4.3) pkgconfig 2.0.1 2017-03-21 CRAN (R 3.4.3) plyr 1.8.4 2016-06-08 CRAN (R 3.4.3) R6 2.2.2 2017-06-17 CRAN (R 3.4.3) ranger * 0.9.0 2018-01-09 CRAN (R 3.4.3) Rcpp 0.12.16 2018-03-13 CRAN (R 3.4.2) rlang 0.2.0.9001 2018-03-26 Github (r-lib/rlang@49d7a34) rstudioapi 0.7 2017-09-07 CRAN (R 3.4.3) scales 0.5.0 2017-08-24 CRAN (R 3.4.4) splines 3.4.2 2017-09-28 local stats * 3.4.2 2017-09-28 local stringi 1.1.7 2018-03-12 CRAN (R 3.4.2) survival 2.41-3 2017-04-04 CRAN (R 3.4.2) tibble 1.4.2 2018-01-22 CRAN (R 3.4.3) tools 3.4.2 2017-09-28 local utils * 3.4.2 2017-09-28 local withr 2.1.2 2018-03-26 Github (jimhester/withr@79d7b0d) XML 3.98-1.10 2018-02-19 CRAN (R 3.4.3) yaml 2.1.18 2018-03-08 CRAN (R 3.4.3)回答：
