mlr3proba 0.1.4 Unreleased

  • Density estimation has now been added to mlr3proba, see TaskDens, LearnerDens, PredictionDens, and MeasureDens.
  • Added mlr_tasks_faithful and mlr_tasks_precip for density task examples
  • Added mlr_task_generators_simdens for generating density tasks
  • Added learners for density estimation, see mlr3::mlr_learners$keys("^dens") for the full list
  • In line with mlr3 0.1.7, public methods train_internal, predict_internal, score_internal are now private methods .train,.predict,.score
  • Converted to roxygen2 R6 documentation

mlr3proba 0.1.3 2020-02-20

  • Changed lp in surv.parametric to include the intercept, which is in line with survival::survreg. Now exp(pred$lp) is equal to the predicted survival time for AFTs
  • Moved mboost to suggests
  • Added response predict type, which predicts the time until event. Currently only supported for AFT models in surv.parametric
  • Added measures for response predict type: MeasureSurvMAE, MeasureSurvMAESE, MeasureSurvMSE, MeasureSurvMSESE, MeasureSurvRMSE, MeasureSurvRMSESE

mlr3proba 0.1.2 2020-01-31

  • Fixed error in r-patched-solaris
  • Added mode option to crankcompositor
  • Fixes bug resulting from R62S3 incompatibility

mlr3proba 0.1.1 2020-01-08

  • Added method argument to integrated scores and added weighting by bin-width
  • Added notes to IGS documentation regarding default methods and comparison to other packages
  • Added method to MeasureSurvIntegrated constructor and fields
  • Fixed mistake in documentation of: TaskSurv, MeasureSurvUnoC
  • Added missing LearnerSurvRpart parameter parms and cost
  • Fixed errors in r-patched-solaris and r-devel debian-clang

mlr3proba 0.1.0 2019-12-22

  • Initial upload to CRAN.