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This R package provides visualizations for mlr3 objects such as tasks, predictions, resample results or benchmark results via the autoplot() generic of ggplot2.

Installation

Install the last release from CRAN:

Install the development version from GitHub:

remotes::install_github("mlr-org/mlr3viz")

Short Demo

library(mlr3)
library(mlr3viz)

task = tsk("pima")$select(c("age", "glucose", "insulin"))
learner = lrn("classif.rpart", predict_type = "prob")
rr = resample(task, learner, rsmp("cv", folds = 10))

# Default plot for task
autoplot(task)

# Pairs plot from GGally
autoplot(task, type = "pairs")

# ROC curve for the ResampleResult
autoplot(rr, type = "roc")