Comments (1)
Also reported here: Rdatatable/data.table#6392
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Related Issues (20)
- Set environment variables to disable parallelization
- remove some unneeded marshal tests
- Add FAQ on workaround to use model trained with old mlr3 version
- Add `set_internal_tuning()` helper method for configuring internal hyperparameter optimization
- Feature Request: Allow no required predict sets for a `Measure` HOT 1
- Issues with as.data.table(mlr_learners) Function HOT 2
- Measures: the whole NA handling seems overly complicated
- Should Learners that implement '$loglik()' have a "loglik" property? HOT 1
- debug learners should implement importance, selected_features, oob_error and loglik HOT 1
- Learner / measure: OOB error seems too restrictive, cannot take mlr3 measure
- BenchmarkResult object doesn't save predictions anymore
- Encapsulation should only work with a fallback learner HOT 1
- if i create a dictionary of measures, i would like to see the measure props
- Small Issue: might be good to give the featureless learner a common base class? HOT 1
- Measure$score has weird NaN producing code
- create more tests for as.data.table(BMR)
- Error with graph learner with preprocessing HOT 5
- task_check_col_roles was pretty much empty and too lenient
- we should maybe check in learner / autotest that weights_learner influences the fit / the predictions of the learner HOT 3
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