Error while calling as.data.table(mlr_tasks) and as.data.table(mlr_resamplings)

[FlyImagi]

I am using mlr3, and still learning the ease of use

I am having an issue by making mlr objects which is mlr_resamplings and mlr_tasks to convert it as data table, error popups shows like:

I am following the 2.2 Tasking basic for this to happen

as.data.table(mlr_tasks)
Error in (function (rhs)  : 
  Assertion on 'names of col_roles' failed: Must be a permutation of set {feature,target,label,order,group,weight,coordinates,target_ordinal}.

And I am following the 2.5 Resampling basic for this to happen

as.data.table(mlr_resamplings)
Error in (function (task_id = NULL, cache = getOption("mlr3oml.cache",  : 
  Argument 'task_id' must be provided

Can I be enlighten with this? how should i do?

[pat-s]

Hi,

this repo is only for the old {mlr} package and not for {mlr3} related things.

Looks like you do not have the latest versions of all packages or the order of package loading is causing troubles. Please provide areproducible example, preferably using the reprex package.

[FlyImagi]

well, I dont know, I load everything mlr3 related, this is what I try from beginning:

library(mlr3)
library(mlr3db)
library(mlr3data)
library(mlr3oml)
library(mlr3misc)
library(mlr3measures)
library(bbotk)
library(mlr3forecasting)
library(mlr3spatiotempcv)
library(mlr3proba)
library(mlr3ordinal)
library(mlr3cluster)
library(paradox)
library(mlr3tuning)
library(mlr3hyperband)
library(mlr3mbo)
library(mlr3fselect)
library(mlr3filters)
library(mlr3keras)
library(mlr3learners)
library(mlr3pipelines)
library(mlr3viz)

data("mtcars", package = "datasets")
data = mtcars[, 1:3]
str(data)

library("mlr3")
task_mtcars = TaskRegr$new(id = "cars", backend = data, target = "mpg")
print(task_mtcars)

library("mlr3viz")
autoplot(task_mtcars, type = "pairs")
library("data.table")
as.data.table(mlr_tasks)

I installed those packages a week ago

As for resampling, I do these for start:

task = tsk("iris")
learner = lrn("classif.rpart")
as.data.table(mlr_resamplings)

[mllg]

This is actually a bug triggered by loading the mlr3oml package. I'll fix it over there.

Also note that it is probably not a good idea to load all those mlr3 packages which are not released yet (hyperband, ordinal, ...).