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When https://github.com/mlr-org/paradox/issues/268 is fixed there ought to be a dedicated function that does that.
mb706 updated
4 years ago
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```
library(bbotk)
source("tests/testthat/helper.R")
terminator = term("evals", n_evals = 10)
inst = MAKE_INST_2D_2D(terminator)
opt = OptimizerRandomSearch$new()
opt$optimize(inst)
```
Th…
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We could remove `mlr_terminators` and `mlr_optimizers` to have a more basic package with no references to mlr3. The dictionaries are more useful in `mlr3tuning` as `mlr_terminators` and `mlr_tuners`.
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hmmm. this should be done in mlr3 tuning right?
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> Actually it would be probably a good design to set the objective function upon creation of the OptimInstance. So objective_function(x) would call the private .objective_function(self, x). This priva…
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I have been unable to reproduce the example for PipeOpDropNA in section 6.3.2.1 of the [mlr3 book](https://mlr3book.mlr-org.com/extending-pipeops.html):
```
PipeOpDropNA = R6::R6Class("PipeOpDropN…
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Hi,
I stumbled on this by chance, not sure if it can be classified as bug but I thought you should know about it.
When combined with a learner that fails occasionally stagnation terminator retu…
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it really not good for debugging and so on to do this internally
the logger can be auto-configured from the outside to achieve the same
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xss_trafoed should be added as a list of lists to the `Archive` in `add_evals` even when just one parameter is optimized.