Blog

mlr3 package updates - q4/2022

This posts gives an overview by listing the recent release notes of mlr3 packages from the last quarter. Cover photo by Aaron Burden.
Jan 12, 2023
Sebastian Fischer

mlr3 package updates - q3/2022

This posts gives an overview by listing the recent release notes of mlr3 packages from the last quarter. Cover photo by Etienne Girardet.
Oct 18, 2022
Sebastian Fischer

mlr(3) User Survey

mlr(3) User Survey. Cover photo by Emily Morter.
Oct 5, 2022

mlr3 package updates - q1/2022

Quarterly mlr3 package updates. This posts gives an overview by listing the recent release notes of mlr3 packages from the last quarter. Cover photo by Atle Mo.
Apr 25, 2022
Sebastian Fischer

Google Summer of Code and mlr3

Our Org is currently thinking about participating in GSOC 2022 again. Cover photo by Pineapple Supply Co.
Feb 3, 2022
Florian Pfisterer

mlr3 package Updates - Q4/2021

This posts gives an overview by listing the recent release notes of mlr3 packages from the last quarter. Cover photo by Timothy Eberly.
Jan 3, 2022
Patrick Schratz

Announcing mlr3spatial

We are happy to announce that mlr3spatial has been released on CRAN in November 2021. mlr3spatial simplifies the handling of spatial objects in the mlr3 ecosystem. Before mlr3spatial, the user had to extract tabular data from spatial objects to train a model or predict spatial data. Cover photo by USGS.
Dec 1, 2021
Marc Becker, Patrick Schratz

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. Cover photo by CALIN STAN.
Oct 7, 2021
Patrick Schratz

mlr3 Package Updates - Q3/2021

This posts gives an overview by listing the recent release notes of mlr3 packages from the last quarter. Cover photo by ian dooley.
Sep 29, 2021
Patrick Schratz

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. Cover photo by Brett Jordan.
Dec 20, 2020
Patrick Schratz

Announcing mlr3spatiotempcv

We are happy to announce that mlr3spatial has been released on CRAN in November 2020. Cover photo by Sveta Fedarava.
Nov 12, 2020
Patrick Schratz

Introducing mlr3cluster: Cluster Analysis Package

Tired of learning to use multiple packages to access clustering algorithms? Cover photo by Drew Beamer.
Aug 26, 2020
Damir Pulatov

useR 2020 Tutorial on mlr3, mlr3tuning and mlr3pipelines

Invitation to useR tutorial on mlr3, mlr3tuning and pipelines. Cover photo by Joris Beugels.
Aug 4, 2020
Marc Becker

Webinar on mlr3pipelines

Announcing the WhyR Webinar on mlr3pipelines
May 20, 2020

Explainable machine learning with mlr3 and DALEX

New mlr3 book chapter about interpretable machine learning using DALEX
Mar 30, 2020

mlr3 tutorial on useR!2020muc

Announcing a mlr3 tutorial at userR!2020
Mar 6, 2020

mlr wins Open Source Machine Learning Software Award

mlr wins Open Source Machine Learning Project award
Dec 21, 2019

Introducing mlrPlayground

Explore mlr interactively using mlrPlayground
Aug 12, 2019

mlr-2.15.0

Summary of changes in mlr-2.15.0
Aug 6, 2019

mlr3-0.1.0

Initial release of mlr3
Jul 31, 2019

mlr + drake: Reproducible machine-learning workflow management

Using mlr and drake
May 6, 2019

mlr-2.14.0

The new mlr-2.14.0 and announcement of mlr3
Apr 18, 2019

Visualization of spatial cross-validation partitioning

Visualizing spatial cross-validation in mlr
Jul 25, 2018

Why R Conference

Summary of the mlr tutorial at WhyR in Wroclaw
Jul 5, 2018

Interpretable Machine Learning with iml and mlr

Tutorial on the iml R package
Feb 28, 2018

Training Courses for mlr: Machine Learning in R

Announcing mlr training courses
Feb 28, 2018

Stepwise Bayesian Optimization with mlrMBO

Tutorial on stepwise Bayesian Optimization with mlrMBO
Jan 10, 2018

Team Rtus wins Munich Re Datathon with mlr

Winning the RE Datathon with mlr
Dec 14, 2017

OpenML Workshop 2017

Announcing the OpenML workshop
Sep 1, 2017

Parameter tuning with mlrHyperopt

Tutorial on mlrHyperopt
Jul 19, 2017

shinyMlr

Tutorial series on how to use shinyMlr
May 16, 2017

Most Popular Learners in mlr

An attempt to asses the popularity of mlr learners
Mar 30, 2017

Multilabel Classification with mlr

Introducting to multilabel classification in mlr
Mar 28, 2017

New mlr Logo

Voting for a new mlr logo
Mar 24, 2017

Use mlrMBO to optimize via command line

Tutorial on using mlrMBO from the command line
Mar 22, 2017

First release of mlrMBO - the toolbox for Bayesian Block Box Optimization

A short description of the post.
Mar 13, 2017
Jakob Richter

Being successful on Kaggle using mlr

Tutorial on how to be successful on Kaggle using mlr
Mar 9, 2017

OpenML tutorial at useR!2017 Brussels

Announcing an OpenML presentation at useR
Mar 2, 2017

GSOC

Announcing the mlr GSOC project: preprocessing pipelines
Feb 13, 2017
Janek Thomas

mlr 2.10

Summary of the changes in the new mlr 2.10 version
Feb 13, 2017

mlr Workshop 2017

Announcing the mlr workshop
Feb 13, 2017

Paper published: mlr - Machine Learning in R

Announcing the publication of the mlr paper.
Oct 20, 2016

mlr loves OpenML

Connecting mlr with OpenML
Sep 9, 2016
Heidi Seibold

How to win a drone in 20 lines of R code

Showcasing model tuning using mlr.
Aug 23, 2016
Janek Thomas

Exploring and Understanding Hyperparameter Tuning

Hyperparameter optimization in mlr
Aug 21, 2016
Mason Gallo

Result of the mlr summer workshop in Palermo

A summary of the results of the mlr summer workshop in Palermo.
Aug 15, 2016
Janek Thomas

Exploring Learner Predictions with Partial Dependence and Functional ANOVA

Using partial dependency plots in mlr.
Aug 11, 2016
Zachary Jones

Benchmarking mlr learners on OpenML

Benchmarking mlr learners on the OpenML platform.
Aug 11, 2016
Florian Pfisterer

Visualization of predictions

Tutorial on the visualization of predictions using mlr.
Jul 28, 2015
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