Error with single_prediction function: Error in UseMethod("broken") about dalex HOT 8 CLOSED

Great, thank you. I now have breakDown 1.4 and get this error when I run single_prediction() with an explainer created for a gbm model: Error in paste("Using", n.trees, "trees...\n") : argument "n.trees" is missing, with no default The same error comes up if I set n.trees inside the single_prediction function.

Hi, The new observation is a data.frame. Below I made an example using the wine data. library(gbm) library(DALEX) library(breakDown) # create a gbm model model <- gbm(quality ~ pH + residual.sugar + sulphates + alcohol, data = wine, distribution = "gaussian", n.trees = 1000, interaction.depth = 4, shrinkage = 0.01, n.minobsinnode = 10, verbose = FALSE) # make an explainer for the model explainer_gbm <- explain(model, data = wine) # create a new observation new.wine <- data.frame(citric.acid = 0.35, sulphates = 0.6, alcohol = 12.5, pH = 3.36, residual.sugar = 4.8) # single prediction explained, this gives the n.trees error exp_sgn <- single_prediction(explainer_gbm, observation = new.wine) #Error in paste("Using", n.trees, "trees...\n") : # argument "n.trees" is missing, with no default # try adding n.trees as an argument, gives same error exp_sgn <- single_prediction(explainer_gbm, observation = new.wine, n.trees = 1000) #Error in paste("Using", n.trees, "trees...\n") : # argument "n.trees" is missing, with no default Session info: sessionInfo() R version 3.4.3 (2017-11-30) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 7 x64 (build 7601) Service Pack 1 Matrix products: default locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 [3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C [5] LC_TIME=English_United States.1252 attached base packages: [1] parallel splines stats graphics grDevices utils datasets methods base other attached packages: [1] breakDown_0.1.4 DALEX_0.1 gbm_2.1.3 lattice_0.20-35 survival_2.41-3 devtools_1.13.4 loaded via a namespace (and not attached): [1] Rcpp_0.12.14 magrittr_1.5 munsell_0.4.3 colorspace_1.3-2 R6_2.2.2 rlang_0.1.6 [7] httr_1.3.1 plyr_1.8.4 tools_3.4.3 ALEPlot_1.0 grid_3.4.3 yaImpute_1.0-29 [13] gtable_0.2.0 git2r_0.21.0 withr_2.1.1 yaml_2.1.16 lazyeval_0.2.1 digest_0.6.14 [19] tibble_1.4.1 pdp_0.6.0 Matrix_1.2-12 gridExtra_2.3 ggplot2_2.2.1 curl_3.1 [25] memoise_1.1.0 pillar_1.1.0 compiler_3.4.3 scales_0.5.0 On Tue, Feb 20, 2018 at 9:32 PM, Przemysław Biecek <[email protected]> wrote: Ok, I guess that your new observation is neither a data.frame nor matrix?

​ -- -- Katherine Ransom, PhD Hydrologic Sciences, UC Davis