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I was using `Waiter` to show a spinner before the results were calculated. But I encountered a problem that the waiter component didn't show when the data was calculated for the first time.
The ve…
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When using XGBoost with early stopping and `mlr3mbo`, I'm running into an error `Error: Learner (regr.xgboost): Configure field 'validate' to enable early stopping`. See https://github.com/mlr-org/mlr…
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mlr3fselect adds `always_include` to mlr_reflection$col_roles on package load.
This causes failures when training in with `future::plan("multisession")`, as the parallel workers don't seem to loa…
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sumny updated
2 weeks ago
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Hi survex!
Just wonder if there is any advice on building explainers from a graph learner by mlr3. This seems to be quite a silly question as graph learners are heavily used in preprocessing (as an e…
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I have some code with `Archive` that was running ok with mlr3mbo 0.2.2 (and maybe bbotk 0.8.0), for example:
```
archive$add_evals(xdt = data[, names(parameter_info), with = FALSE],
…
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I implemented two Optimizers for threshold tuning: `OptimizerNloptr` and `OptimizerGenSA`.
You can find them **[here](https://github.com/mlr-org/mlr3pipelines/blob/91273aa34e53564db5e0b0c3aafda114960…
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### Description
I'm considering replacing irace custom parameter representation with paradox. This will benefit irace since I expect your implementation to be of higher quality and it will benefit …
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Prepare for release:
* [x] `git pull`
* [x] Check [current CRAN check results](https://cran.rstudio.org/web/checks/check_results_bbotk.html)
* [x] [Polish NEWS](https://style.tidyverse.org/news.html#…
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... and puts it as some weird output under a chunk in the default settings.
R Console has incomplete output:
![image](https://user-images.githubusercontent.com/1888623/104433784-c68e6280-558a-11eb…