predict.train No longer exported from caret package

[ray-p144]

As of this commit on the master branch of the caret package, the predict.train function is no longer exported causing the following error to be thrown from predict.caretList:

Error: 'predict.train' is not an exported object from 'namespace:caret'

Minimal, reproducible example:

Minimal dataset:

set.seed(1)
dat <- caret::twoClassSim(100)
X <- dat[,1:5]
y <- dat[["Class"]]

Minimal, runnable code:

library(caretEnsemble)
models <- caretList(
  X, y, 
  methodList=c('glm', 'rpart'),
  trControl=trainControl(
    method="cv", 
    number=5,
    classProbs=TRUE, 
    savePredictions="final")
)
predict(models, newdata = X)

Session Info:

>sessionInfo()
R version 3.4.3 (2017-11-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

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

other attached packages:
[1] caretEnsemble_2.0.0  caret_6.0-79         ggplot2_2.2.1.9000   lattice_0.20-35      RevoUtils_10.0.7     RevoUtilsMath_10.0.1

loaded via a namespace (and not attached):
 [1] tidyselect_0.2.3    pbapply_1.3-3       purrr_0.2.4         reshape2_1.4.3      kernlab_0.9-25      splines_3.4.3       colorspace_1.3-2   
 [8] stats4_3.4.3        yaml_2.1.16         survival_2.41-3     prodlim_1.6.1       rlang_0.2.0.9000    e1071_1.6-8         ModelMetrics_1.1.0 
[15] pillar_1.0.1        withr_2.1.1.9000    foreign_0.8-69      glue_1.2.0          bindrcpp_0.2        foreach_1.4.5       bindr_0.1          
[22] plyr_1.8.4          dimRed_0.1.0        lava_1.5.1          robustbase_0.92-8   stringr_1.2.0       timeDate_3042.101   munsell_0.4.3      
[29] gtable_0.2.0        recipes_0.1.1       codetools_0.2-15    psych_1.7.8         parallel_3.4.3      class_7.3-14        DEoptimR_1.0-8     
[36] broom_0.4.3         Rcpp_0.12.14        scales_0.5.0.9000   ipred_0.9-6         CVST_0.2-1          gridExtra_2.3       mnormt_1.5-5       
[43] digest_0.6.13       stringi_1.1.6       dplyr_0.7.4         RcppRoll_0.2.2      ddalpha_1.3.1       grid_3.4.3          tools_3.4.3        
[50] magrittr_1.5        lazyeval_0.2.1      tibble_1.4.1        randomForest_4.6-12 tidyr_0.7.2         DRR_0.0.2           pkgconfig_2.0.1    
[57] MASS_7.3-48         Matrix_1.2-12       data.table_1.10.4-3 lubridate_1.7.1     gower_0.1.2         assertthat_0.2.0    iterators_1.0.9    
[64] R6_2.2.2            rpart_4.1-11        sfsmisc_1.1-1       nnet_7.3-12         nlme_3.1-131        compiler_3.4.3