Tags: ttke/mlr
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mlr 2.19.0.9001 # mlr 2.19.0.9001 - Fixed `information.gain` filter calculation. Before, `chi.squared` was calculated even though `information.gain` was requested due to a glitch in the filter naming (mlr-org#2816, @jokokojote)
mlr 2.19.0
- Add filter `FSelectoRcpp::relief()`. This C++ based implementation of the RelieF filter algorithm is way faster than the Java based one from the {FSelector} package (mlr-org#2804)
- Fix S3 print method for `FilterWrapper` objects
- Make ibrier measure work with survival tasks (mlr-org#2789)
- Switch to testthat v3 (mlr-org#2796)
- Enable parallel tests (mlr-org#2796)
- Replace package PMCMR by PMCMRplus (mlr-org#2796)
- Remove CoxBoost learner due to CRAN removal
- Warning if `fix.factors.prediction = TRUE` causes the generation of NAs for new factor levels in prediction (@jakob-r, mlr-org#2794)
- Clear error message if prediction of wrapped learner has not the same length as `newdata` (@jakob-r, mlr-org#2794)
mlr 2.19.0-rc
- Add filter `FSelectoRcpp::relief()`. This C++ based implementation of the RelieF filter algorithm is way faster than the Java based one from the {FSelector} package (mlr-org#2804)
- Fix S3 print method for `FilterWrapper` objects
- Make ibrier measure work with survival tasks (mlr-org#2789)
- Switch to testthat v3 (mlr-org#2796)
- Enable parallel tests (mlr-org#2796)
- Replace package PMCMR by PMCMRplus (mlr-org#2796)
- Remove CoxBoost learner due to CRAN removal
- Warning if `fix.factors.prediction = TRUE` causes the generation of NAs for new factor levels in prediction (@jakob-r, mlr-org#2794)
- Clear error message if prediction of wrapped learner has not the same length as `newdata` (@jakob-r, mlr-org#2794)
mlr 2.19.0-rc
- Add filter `FSelectoRcpp::relief()`. This C++ based implementation of the RelieF filter algorithm is way faster than the Java based one from the {FSelector} package (mlr-org#2804)
- Fix S3 print method for `FilterWrapper` objects
- Make ibrier measure work with survival tasks (mlr-org#2789)
- Switch to testthat v3 (mlr-org#2796)
- Enable parallel tests (mlr-org#2796)
- Replace package PMCMR by PMCMRplus (mlr-org#2796)
- Remove CoxBoost learner due to CRAN removal
- Warning if `fix.factors.prediction = TRUE` causes the generation of NAs for new factor levels in prediction (@jakob-r, mlr-org#2794)
- Clear error message if prediction of wrapped learner has not the same length as `newdata` (@jakob-r, mlr-org#2794)
mlr 2.18.0.9003
- Add filter `FSelectoRcpp::relief()`. This C++ based implementation of the RelieF filter algorithm is way faster than the Java based one from the {FSelector} package (mlr-org#2804)
- Fix S3 print method for `FilterWrapper` objects
mlr 2.18.0.9002 - Switch to testthat v3 (mlr-org#2796) - Enable parallel tests (mlr-org#2796) - replace package PMCMR by PMCMRplus (mlr-org#2796) - Remove CoxBoost learner due to CRAN removal - Silence warnings in tests
mlr 2.18.0.9001 - Warning if `fix.factors.prediction = TRUE` causes the generation of NAs for new factor levels in prediction (@jakob-r, mlr-org#2794) - Clear error message if prediction of wrapped learner has not the same length as `newdata` (@jakob-r, mlr-org#2794)
mlr 2.18.0 - Many praznik filters are now also able to deal with regression tasks (mlr-org#2790, @bommert) - `praznik_MRMR`: Remove handling of survival tasks (mlr-org#2790, @bommert) - xgboost: update `objective` default from `reg:linear` (deprecated) to `reg:squarederror` - issue a warning if `blocking` was set in the Task but `blocking.cv` was not set within `makeResampleDesc() (mlr-org#2788) - Fix order of learners in `generateLearningCurveData()` (mlr-org#2768) - `getFeatureImportance()`: Account for feature importance weight of linear xgboost models - Fix learner note for learner glmnet (the default of param `s` did not match the learner note) (mlr-org#2747) - Remove dependency {hrbrthemes} used in `createSpatialResamplingPlots()`. The package caused issues on R-devel. In addition users should set custom themes by themselves. - Explicitly return value in `getNestedTuneResultsOptPathDf()` (mlr-org#2754)
mlr 2.18.0-rc - Many praznik filters are now also able to deal with regression tasks (mlr-org#2790, @bommert) - `praznik_MRMR`: Remove handling of survival tasks (mlr-org#2790, @bommert) - xgboost: update `objective` default from `reg:linear` (deprecated) to `reg:squarederror` - issue a warning if `blocking` was set in the Task but `blocking.cv` was not set within `makeResampleDesc() (mlr-org#2788) - Fix order of learners in `generateLearningCurveData()` (mlr-org#2768) - `getFeatureImportance()`: Account for feature importance weight of linear xgboost models - Fix learner note for learner glmnet (the default of param `s` did not match the learner note) (mlr-org#2747) - Remove dependency {hrbrthemes} used in `createSpatialResamplingPlots()`. The package caused issues on R-devel. In addition users should set custom themes by themselves. - Explicitly return value in `getNestedTuneResultsOptPathDf()` (mlr-org#2754)
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