creating learner in mlr3: Error in sprintf(msg, ...) : too few arguments

Question

I want to create a learner in mlr3, using the distRforest package.

my code:

library(mlr3extralearners)

create_learner( pkg = "." ,
            classname = 'distRforest',
            algorithm = 'regression tree',
            type = 'regr',
            key = 'distRforest',
            package = 'distRforest',
            caller = 'rpart',
            feature_types = c("logical", "integer", "numeric","factor", "ordered"),
            predict_types = c('response'),
            properties = c("importance", "missings", "multiclass",
                           "selected_features", "twoclass", "weights"),
            references = FALSE,
            gh_name = 'CL'

)

gives the following error : Error in sprintf(msg, ...) : too few arguments

in fact, replicating the code in the tutorial https://mlr3book.mlr-org.com/extending-learners.html throws the same error.

Any ideas? Thanks a lot - c

score 1 · Accepted Answer · answered Nov 11 '20 at 20:03

1

thanks for your interest in extending the mlr3 universe! Couple of things, firstly the example in the book works fine for me, and secondly your example cannot work because you are including classif properties for a regr learner. As I am unable to reproduce your error it's hard for me to debug what's going wrong, it would be helpful if you could run the following:

reprex::reprex({
  create_learner(
    pkg = ".",
    classname = "Rpart",
    algorithm = "decision tree",
    type = "classif",
    key = "rpartddf",
    package = "rpart",
    caller = "rpart",
    feature_types = c("logical", "integer", "numeric", "factor", "ordered"),
    predict_types = c("response", "prob"),
    properties = c("importance", "missings", "multiclass", "selected_features", "twoclass", "weights"),
    references = TRUE,
    gh_name = "CL"
  )
}, si = TRUE)

If you're still getting an error and the output is too long to print here then head over to the GitHub and open an issue there.

answered Nov 11 '20 at 20:03

RaphaelS

839
4
14

Hi, thanks for the quick reply. running the code gives #> Error in sprintf(msg, ...): too few arguments – carsten Nov 11 '20 at 20:20
Please run the exact code I sent and paste the output into a new issue: https://github.com/mlr-org/mlr3extralearners/issues/new – RaphaelS Nov 11 '20 at 20:58
This is answered on GitHub: https://github.com/mlr-org/mlr3extralearners/issues/36. Please mark as answered here when satisfied. – RaphaelS Nov 12 '20 at 08:51
1

Just saw this. Thanks! – carsten Nov 13 '20 at 09:02

creating learner in mlr3: Error in sprintf(msg, ...) : too few arguments

1 Answers1