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I have a new error....
````
## select holdout as the resampling strategy
resampling
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The signature for the wrapper `blackboost_train()` in the output of `translate()` does not match up with
https://github.com/tidymodels/censored/blob/master/R/boost_tree.R#L32-L36
``` r
library(c…
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engines in censored
- [x] bag_tree_ipred
- [x] boost_tree_mboost
- [x] decision_tree_party
- [ ] decision_tree_rpart
- [x] proportional_hazards_glmnet
- [x] proportional_hazards_survival
-…
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Hi Benjamin,
I am trying to use mboost to select the covariates for a logit regression. However, as shown in my attached simulation file, mboost selects only one variable X3, while the true variables…
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Currently regr.glmboost learner has a parameter family which is of factor type and has to be chosen among 7 predetermined families.
Can we introduce support to add a custom family as a parameter?
…
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Don't know if it's a bug but...
greybox seems to occupy the global namespace of function forecast() if not explicitly set. This means, if we want to use both in the same script (Hyndman's and Ivan's)…
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### Expected Behaviour
When trying to evaluate the performance of the mboost models based on IBS score, the `$aggregate(msr("surv.mboost"))` shall work to get the corresponding IBS scores.
### Act…
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### Expected Behaviour
By setting the baselearner to be "bbs", the "surv.mboost" shall be able to automatically process with the factor type variables and model the corresponding non-linear relations…
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I think an interesting integration would be to support different types of response variables or treatments, as suggested [here](https://github.com/grf-labs/grf/issues/698).
I see that at the moment…
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I was not sure if I should post here or in mlr3tuning, but I think it is a bit of a coincidence I encounter this after [https://github.com/mlr-org/mlr3extralearners/pull/64]
### Expected Behaviour
…