Provides extensions for probabilistic supervised learning for
'mlr3'. This includes extending the regression task to probabilistic
and interval regression, adding a survival task, and other specialized
models, predictions, and measures.
It appears you don't have a PDF plugin for this browser. You can
click here to download the reference manual.
Raphael Sonabend, a day ago
Report a bug at https://github.com/mlr-org/mlr3proba/issues
Browse source code at
Raphael Sonabend [aut, cre]
Franz Kiraly [aut]
Michel Lang [aut]
Nurul Ain Toha [ctb]
Andreas Bender [ctb]
Machine Learning & Statistical Learning,
Imports checkmate, data.table, distr6, mlr3misc, paradox, R6, Rcpp, survival
Depends on mlr3
Suggests bujar, cubature, ggplot2, knitr, lgr, mlr3pipelines, pracma, rpart, set6, simsurv, survAUC, testthat
Linking to Rcpp
mlr3learners, mlr3oml, mlr3viz.
See at CRAN