Comments (2)
mlr3tuning uses the AutoTuner
class as a wrapper for automated tuning in nested resampling.
We should also implement the wrapper methods in a class AutoSelect
(or a similar name) to stay consistent.
from mlr3filters.
AFAICT all methods are implemented (not reviewed though) in mlr3fswrap. Closing here.
from mlr3filters.
Related Issues (20)
- Cross-link mlr3pipelines HOT 1
- Survival filters of MLR to be available in MLR3 HOT 5
- Filters and mlr3pipelines and filters before building graph HOT 1
- `FilterFindCorrelation` needs adjustment after latest {pillar} update HOT 2
- FilterPerformance should not have default "classif.featureless" for the learner HOT 8
- `FilterCarSurvScore` and mlr3proba CRAN removal HOT 8
- praznik filters throw errors HOT 1
- Improve handling of missing values
- mlr3filters 0.7.0 breaks mlr3spatiotempcv HOT 1
- Filter carscore integer features HOT 1
- Add 'surv' task_type in `FindCorrelation` filter HOT 1
- Implement hash / phash
- importance filter default is bad HOT 3
- Create a use case for the gallery HOT 4
- glmnet (LASSO) learners capable of determining variable importance HOT 4
- Filter request: 'insignificant' factor levels HOT 2
- Improve internals of FilterPermutation HOT 2
- Is it possible to add ks value in mlr3filters? HOT 3
- assert task type prior to calculating
- typo in FilterPermutation help
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from mlr3filters.