Blog
mlr3 package updates - q1/2022
Quarterly mlr3 package updates.
Google Summer of Code and mlr3
Our Org is currently thinking about participating in GSOC 2022 again.
mlr3 Package Updates - Q4/2021
This posts gives an overview by listing the recent release notes of mlr3 packages from the last quarter.
Announcing mlr3spatial
We are happy to announce that mlr3spatial has been released on CRAN in November 2021.
mlr Workshop 2021 Recap
This blog post is a recap of the mlr-org workshop 2021 which took place from the 28th of September until the 10th of October.
mlr3 Package Updates - Q3/2021
This posts gives an overview by listing the recent release notes of mlr3 packages from the last quarter.
The Cross-Validation - Train/Predict Misunderstanding
Over the past years I've seen multiple posts on Stackoverflow and our GitHub issues which suffer from a conceptual misunderstanding: cross-validation (CV) vs. train/predict.
Announcing mlr3spatiotempcv
We are happy to announce that mlr3spatial has been released on CRAN in November 2020.
Introducing mlr3cluster: Cluster Analysis Package
Tired of learning to use multiple packages to access clustering algorithms?
useR 2020 Tutorial on mlr3, mlr3tuning and mlr3pipelines
Invitation to useR tutorial on mlr3, mlr3tuning and pipelines.
Webinar on mlr3pipelines
Announcing the WhyR Webinar on mlr3pipelines
Explainable machine learning with mlr3 and DALEX
New mlr3 book chapter about interpretable machine learning using DALEX
mlr3 tutorial on useR!2020muc
Announcing a mlr3 tutorial at userR!2020
mlr wins Open Source Machine Learning Software Award
mlr wins Open Source Machine Learning Project award
Introducing mlrPlayground
Explore mlr interactively using mlrPlayground
mlr-2.15.0
Summary of changes in mlr-2.15.0
mlr3-0.1.0
Initial release of mlr3
mlr + drake: Reproducible machine-learning workflow management
Using mlr and drake
mlr-2.14.0
The new mlr-2.14.0 and announcement of mlr3
Visualization of spatial cross-validation partitioning
Visualizing spatial cross-validation in mlr
Why R Conference
Summary of the mlr tutorial at WhyR in Wroclaw
Interpretable Machine Learning with iml and mlr
Tutorial on the iml R package
Stepwise Bayesian Optimization with mlrMBO
Tutorial on stepwise Bayesian Optimization with mlrMBO
Team Rtus wins Munich Re Datathon with mlr
Winning the RE Datathon with mlr
OpenML Workshop 2017
Announcing the OpenML workshop
Parameter tuning with mlrHyperopt
Tutorial on mlrHyperopt
shinyMlr
Tutorial series on how to use shinyMlr
Most Popular Learners in mlr
An attempt to asses the popularity of mlr learners
Multilabel Classification with mlr
Introducting to multilabel classification in mlr
New mlr Logo
Voting for a new mlr logo
Use mlrMBO to optimize via command line
Tutorial on using mlrMBO from the command line
2017-03-13-First_release_of_mlrMBO_the_toolbox_for_Bayesian_Black_Box_Optimization
A short description of the post.
Being successful on Kaggle using mlr
Tutorial on how to be successful on Kaggle using mlr
OpenML tutorial at useR!2017 Brussels
Announcing an OpenML presentation at useR
mlr 2.10
Summary of the changes in the new mlr 2.10 version
GSOC
Announcing the mlr GSOC project: preprocessing pipelines
mlr Workshop 2017
Announcing the mlr workshop
Paper published: mlr - Machine Learning in R
Announcing the publication of the mlr paper.
mlr loves OpenML
Connecting mlr with OpenML
How to win a drone in 20 lines of R code
Showcasing model tuning using mlr.
Exploring and Understanding Hyperparameter Tuning
Hyperparameter optimization in mlr
Result of the mlr summer workshop in Palermo
A summary of the results of the mlr summer workshop in Palermo.
Benchmarking mlr learners on OpenML
Benchmarking mlr learners on the OpenML platform.
Exploring Learner Predictions with Partial Dependence and Functional ANOVA
Using partial dependency plots in mlr.
Visualization of predictions
Tutorial on the visualization of predictions using mlr.