Probabilistic Supervised Learning for 'mlr3'

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.


Reference manual

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0.1.5 by Raphael Sonabend, a month ago,

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Authors: Raphael Sonabend [aut, cre] , Franz Kiraly [aut] , Michel Lang [aut] , Nurul Ain Toha [ctb] , Andreas Bender [ctb]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports checkmate, data.table, distr6, mlr3, mlr3misc, mlr3pipelines, paradox, R6, survival

Suggests bibtex, CoxBoost, flexsurv, gbm, ggplot2, glmnet, gss, kerdiest, knitr, ks, lgr, logspline, locfit, Matrix, mboost, mlr3tuning, np, obliqueRSF, pec, penalized, pendensity, plugdensity, randomForestSRC, ranger, riskRegression, rpart, set6, simsurv, sm, survAUC, survivalsvm, testthat, xgboost

Suggested by mlr3viz.

See at CRAN