mlr3: Machine Learning in R - next generation
-
Updated
Apr 29, 2024 - R
mlr3: Machine Learning in R - next generation
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
Dataflow Programming for Machine Learning in R
DoubleML - Double Machine Learning in R
Probabilistic Learning for mlr3
Recommended learners for mlr3
Hyperparameter optimization package of the mlr3 ecosystem
Spatiotemporal resampling methods for mlr3
Spatial objects within the mlr3 ecosystem
Deep learning for mlr3
ParamHelpers Next Generation
Flexible Bayesian Optimization in R
mlr3shiny: Machine Learning in Shiny with mlr3
Case studies using mlr3
Data Backends to let mlr3 work transparently with (remote) data bases
Filter-based feature selection for mlr3
Feature selection package of the mlr3 ecosystem.
Add a description, image, and links to the mlr3 topic page so that developers can more easily learn about it.
To associate your repository with the mlr3 topic, visit your repo's landing page and select "manage topics."