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Author: be-marc

NEWS.md

@@ -1,6 +1,16 @@
 # mlr3 1.3.0
 
 * feat: `Learner$predict()` can now add additional data to `PredictionClassif` and `PredictionRegr` objects via the `extra` field.
+* feat: `Mlr3Error` and `Mlr3Warning` classes for errors and warnings.
+* refactor: `$obs_loss` methods in `Measure`, `Prediction`, `ResampleResult`, and `BenchmarkResult`.
+* perf: Use more `lengths()` and `data.table::setattr()` in tests.
+* perf: Use `attr()` instead of `attributes()` for extracting single attributes.
+* test: Use more specialised test functions.
+* fix: `weights_measure` now work with `stratum`.
+* fix: Encapsulation loads loaded packages on the workers.
+* fix: Learners can handle new factor levels.
+* refactor: Use more implicit returns.
+* feat: Learner can pass extra data to predictions.
 
 # mlr3 1.2.0