Question

我正在尝试使用caret包使用Boston Housing数据构建回归模型。代码如下

library(tidyverse)
library(ggplot2)
library(lubridate)
library(broom)
library(caret)
library(xgboost)

#list.files()

options(scipen = 999)

library(MASS)

data_model <- Boston
data_model <- as.data.frame(data_model)

# based on this link https://stackoverflow.com/questions/51762536/r-xgboost-on-caret-attempts-to-perform-classification-instead-of-regression
data_model$medv <- as.double(data_model$medv)
data_model$zn <- as.double(data_model$zn)
xgb_grid_1 = expand.grid(
  nrounds = 1000,
  max_depth = c(2, 4, 6, 8, 10),
  eta=c(0.5, 0.1, 0.07),
  gamma = 0.01,
  colsample_bytree=0.5,
  min_child_weight=1,
  subsample=0.5
)

xgb_trcontrol_1 = trainControl(
  method = "cv",
  number = 5,
  allowParallel = TRUE
)


xgb_train_1 = train(
  x = data_model %>% dplyr::select(-medv) %>% as.matrix(),
  y = as.matrix(data_model$medv),
  trControl = xgb_trcontrol_1,
  tuneGrid = xgb_grid_1,
  method = "xgbTree",
  metric = 'RMSE'
)

sessionInfo()

但是当我运行train()函数时，出现错误Error: Metric RMSE not applicable for classification models。然后，我尝试按照此link的建议将变量integers更改为double。我似乎仍然遇到相同的错误。我是否错过了应该注意的额外参数？先感谢您！如果我不知道有版本冲突，我还将下面的会话信息包括在内。

R version 3.4.0 (2017-04-21)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS  10.14

Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] MASS_7.3-47        bindrcpp_0.2.2     xgboost_0.71.2     caret_6.0-81       lattice_0.20-35    broom_0.4.2        lubridate_1.6.0    dplyr_0.7.8        purrr_0.2.3       
[10] readr_1.1.1        tidyr_0.7.2        tibble_1.4.2       ggplot2_2.2.1.9000 tidyverse_1.1.1   

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.0           class_7.3-14         utf8_1.1.3           assertthat_0.2.0     ipred_0.9-6          psych_1.7.5          foreach_1.4.3        R6_2.2.2            
 [9] cellranger_1.1.0     plyr_1.8.4           stats4_3.4.0         httr_1.3.1           pillar_1.2.1         rlang_0.3.0.1        lazyeval_0.2.1       readxl_1.0.0        
[17] rstudioapi_0.7       data.table_1.10.4    rpart_4.1-11         Matrix_1.2-9         splines_3.4.0        gower_0.1.2          stringr_1.3.0        foreign_0.8-67      
[25] munsell_0.4.3        compiler_3.4.0       modelr_0.1.1         pkgconfig_2.0.1      mnormt_1.5-5         nnet_7.3-12          tidyselect_0.2.5     prodlim_2018.04.18  
[33] codetools_0.2-15     crayon_1.3.4         withr_2.1.2          recipes_0.1.4        ModelMetrics_1.1.0   grid_3.4.0           nlme_3.1-131         jsonlite_1.5        
[41] gtable_0.2.0         magrittr_1.5         waterfalls_0.1.2     scales_0.5.0.9000    cli_1.0.0            stringi_1.1.7        reshape2_1.4.3       timeDate_3012.100   
[49] xml2_1.2.0           generics_0.0.1       lava_1.6.1           iterators_1.0.8      tools_3.4.0          forcats_0.2.0        glue_1.3.0           hms_0.3             
[57] parallel_3.4.0       survival_2.41-3      colorspace_1.3-2     xgboostExplainer_0.1 rvest_0.3.2          bindr_0.1.1          haven_1.1.0

Answer 1

您已经将data_model$zn转换为double。因此，只需删除参数as.matrix

中的y = as.matrix(data_model$medv)

无法使用插入符号为XGBoost回归模型运行参数调整

1 个答案: