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"prediction"
plots for classification and regression learners."incumbent"
plot for OptimInstanceSingleCrit
.binwidth
argument to histogram plots."performance"
plot always connected the maximum performance values. Now the minimum values are connected when the measure is minimized.theme
option to autoplot()
functions to supply a ggplot2::theme()
. The default is ggplot2::theme_minimal()
.theme_mlr3()
.geom_
functions via ...
. This behavior was not consistent across the autoplot()
functions.PredictionClassif
.LearnerClustHclust
.TuningInstanceSingleCrit
from package mlr3tuning
.BenchmarkResult
(#63, #65).PredictionClust
(#67).PredictionSurv
.glmnet
via ggfortify
."holdout"
(#54).TaskDens
(#57).autoplot.*()
functions now also have a generic S3 plot()
sibling (#51).mlr3cluster
.BenchmarkResult
.mlr3
>= 0.6.0.TaskDens
and TaskSurv
from package mlr3proba
.PredictionRegr
(#23)autoplot.BenchmarkResult()
: Support for learners with identical IDs (#19)plot_learner_prediction()
(#47)ResampleResult
. Additionally, the helper function plot_learner_prediction()
first performs a resample()
and then plots the result.PredictionRegr
.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.