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mlr3viz
View on CRAN: Click
here
Download and install mlr3viz package within the R console
Install from CRAN:
install.packages("mlr3viz")
Install from Github:
library("remotes")
install_github("cran/mlr3viz")
Install by package version:
library("remotes")
install_version("mlr3viz", "0.8.0")
Attach the package and use:
library("mlr3viz")
Maintained by
Michel Lang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-08
Latest Update: 2023-01-23
Description:
Visualization package of the 'mlr3' ecosystem. It features plots
for mlr3 objects such as tasks, learners, predictions, benchmark results,
tuning instances and filters via the 'autoplot()' generic of 'ggplot2'.
The package draws plots with the 'viridis' color palette and applies the
minimal theme. Visualizations include barplots, boxplots, histograms, ROC
curves, and Precision-Recall curves.
How to cite:
Michel Lang (2020). mlr3viz: Visualizations for 'mlr3'. R package version 0.8.0, https://cran.r-project.org/web/packages/mlr3viz
Previous versions and publish date:
0.1.0 (2020-01-08 18:10), 0.1.1 (2020-02-19 13:40), 0.2.0 (2020-08-07 11:40), 0.3.0 (2020-09-25 15:40), 0.4.0 (2020-10-05 21:50), 0.5.0 (2020-11-02 12:10), 0.5.1 (2021-01-27 10:30), 0.5.2 (2021-03-08 17:12), 0.5.3 (2021-03-15 17:50), 0.5.4 (2021-07-01 22:50), 0.5.5 (2021-08-12 10:40), 0.5.6 (2021-09-14 15:00), 0.5.7 (2021-10-14 06:30), 0.5.8 (2022-04-04 17:40), 0.5.9 (2022-05-25 14:30), 0.5.10 (2022-08-15 12:50), 0.6.0 (2023-01-12 09:30), 0.6.1 (2023-01-23 15:50), 0.6.2 (2023-11-23 14:10), 0.7.0 (2023-12-21 11:00)
Other packages that cited mlr3viz R package
View mlr3viz citation profile
Other R packages that mlr3viz depends,
imports, suggests or enhances
Functions, R codes and Examples using
the mlr3viz R package
Some associated functions: as_precrec . autoplot.BenchmarkResult . autoplot.Filter . autoplot.LearnerClassif . autoplot.LearnerClassifGlmnet . autoplot.LearnerClassifRpart . autoplot.LearnerClustHierarchical . autoplot.LearnerRegr . autoplot.OptimInstanceSingleCrit . autoplot.PredictionClassif . autoplot.PredictionClust . autoplot.PredictionRegr . autoplot.ResampleResult . autoplot.TaskClassif . autoplot.TaskClust . autoplot.TaskRegr . autoplot.TuningInstanceSingleCrit . mlr3viz-package . plot_learner_prediction . predict_grid . reexports .
Some associated R codes: BenchmarkResult.R . Filter.R . LearnerClassif.R . LearnerClassifCVGlmnet.R . LearnerClassifGlmnet.R . LearnerClassifRpart.R . LearnerClustHierarchical.R . LearnerRegr.R . LearnerRegrCVGlmnet.R . LearnerRegrGlmnet.R . LearnerRegrRpart.R . OptimInstanceSingleCrit.R . Prediction.R . PredictionClassif.R . PredictionClust.R . PredictionRegr.R . ResampleResult.R . Task.R . TaskClassif.R . TaskClust.R . TaskRegr.R . TuningInstanceSingleCrit.R . as_precrec.R . bibentries.R . helper.R . plot_learner_prediction.R . reexports.R . zzz.R . Full mlr3viz package functions and examples
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