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### Description
The [simple tuning example](https://github.com/mlr-org/mlr3mbo#simple-tuning-example-using-defaults) doesn't work?
### Reproducible example
``` r
set.seed(1)
library(mlr3)
…
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The original code works perfectly, but when I want to change hyperparameters such as n_evals, epoches, folds to a larger number. It will report an error as followed.
Error in if (!all(x = 0)) { :
…
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Maybe I am not invoking the explain_mlr3 properly. Hope someone can advice. I have used explain on caret models before, first time I am using with mlr3. Below is the reprex. mlr3 is from a dev tree ve…
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### Description
Shouldn't the ranks in the critical difference plot consider whether a measure is minimized (e.g. classification error) or maximized (e.g. accuracy)?
In the code below, I would expec…
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autoFSelector learners work with $train and $predict but they don't work with benchmark. This code used to work which suggests a new update may be causing this
``` r
options(warn=-1)
library(tid…
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I used BiocManager::install("curatedMetagenomicData") to install, but there are some errors.
````
BiocManager::install("curatedMetagenomicData")
````
````
'getOption("repos")' replaces Biocondu…
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Popular issue from {mlr}: https://github.com/mlr-org/mlr/issues/1398
Active issue in {mlr3}?: https://github.com/mlr-org/mlr3/issues/272
There was a [SO question](https://stackoverflow.com/quest…
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Continuing my read thru the book and examples and have some minor things :) All of this is probably best for @jannes-m.
- The task initialization syntax seems to have changed and the spatial argum…
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Hi,
I use an `AutoTuner` to train and tune a `learner` with a single optimization criterion. Compared to random search optimization, which outputs the `learner` with the hyperparameters that result…
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```
Error in predict.lgb.Booster(object = self$model, data = newdata, reshape = TRUE, :
'reshape' argument is no longer supported.
```
This error does not happen in other classif algo
```…