Blog

mlr3 package updates - q1/2022

Quarterly mlr3 package updates.

Google Summer of Code and mlr3

R

Our Org is currently thinking about participating in GSOC 2022 again.

mlr3 Package Updates - Q4/2021

R
News

This posts gives an overview by listing the recent release notes of mlr3 packages from the last quarter.

Announcing mlr3spatial

R
CRAN

We are happy to announce that mlr3spatial has been released on CRAN in November 2021.

mlr Workshop 2021 Recap

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Workshop

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

R
News

This posts gives an overview by listing the recent release notes of mlr3 packages from the last quarter.

The Cross-Validation - Train/Predict Misunderstanding

R

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

R
CRAN

We are happy to announce that mlr3spatial has been released on CRAN in November 2020.

Introducing mlr3cluster: Cluster Analysis Package

R
CRAN

Tired of learning to use multiple packages to access clustering algorithms?

useR 2020 Tutorial on mlr3, mlr3tuning and mlr3pipelines

R

Invitation to useR tutorial on mlr3, mlr3tuning and pipelines.

Webinar on mlr3pipelines

R
r-bloggers

Announcing the WhyR Webinar on mlr3pipelines

Explainable machine learning with mlr3 and DALEX

R
r-bloggers

New mlr3 book chapter about interpretable machine learning using DALEX

mlr3 tutorial on useR!2020muc

R
r-bloggers

Announcing a mlr3 tutorial at userR!2020

mlr wins Open Source Machine Learning Software Award

R
r-bloggers

mlr wins Open Source Machine Learning Project award

Introducing mlrPlayground

r-bloggers

Explore mlr interactively using mlrPlayground

mlr-2.15.0

R
r-bloggers

Summary of changes in mlr-2.15.0

mlr3-0.1.0

R
r-bloggers

Initial release of mlr3

mlr + drake: Reproducible machine-learning workflow management

r-bloggers

Using mlr and drake

mlr-2.14.0

r-bloggers

The new mlr-2.14.0 and announcement of mlr3

Visualization of spatial cross-validation partitioning

R
r-bloggers

Visualizing spatial cross-validation in mlr

Why R Conference

R

Summary of the mlr tutorial at WhyR in Wroclaw

Interpretable Machine Learning with iml and mlr

R
r-bloggers

Tutorial on the iml R package

Stepwise Bayesian Optimization with mlrMBO

R
r-bloggers

Tutorial on stepwise Bayesian Optimization with mlrMBO

Team Rtus wins Munich Re Datathon with mlr

R

Winning the RE Datathon with mlr

OpenML Workshop 2017

R

Announcing the OpenML workshop

Parameter tuning with mlrHyperopt

R
r-bloggers

Tutorial on mlrHyperopt

shinyMlr

R
r-bloggers

Tutorial series on how to use shinyMlr

Most Popular Learners in mlr

R
r-bloggers

An attempt to asses the popularity of mlr learners

Multilabel Classification with mlr

R

Introducting to multilabel classification in mlr

New mlr Logo

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r-bloggers

Voting for a new mlr logo

Use mlrMBO to optimize via command line

R
r-bloggers

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

R
r-bloggers

Tutorial on how to be successful on Kaggle using mlr

OpenML tutorial at useR!2017 Brussels

R
r-bloggers

Announcing an OpenML presentation at useR

mlr 2.10

R

Summary of the changes in the new mlr 2.10 version

GSOC

Announcing the mlr GSOC project: preprocessing pipelines

mlr Workshop 2017

R

Announcing the mlr workshop

Paper published: mlr - Machine Learning in R

R
r-bloggers

Announcing the publication of the mlr paper.

mlr loves OpenML

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r-bloggers

Connecting mlr with OpenML

How to win a drone in 20 lines of R code

R
r-bloggers

Showcasing model tuning using mlr.

Exploring and Understanding Hyperparameter Tuning

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r-bloggers

Hyperparameter optimization in mlr

Result of the mlr summer workshop in Palermo

R

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

R
r-bloggers

Using partial dependency plots in mlr.

Visualization of predictions

R
r-bloggers

Tutorial on the visualization of predictions using mlr.

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Blog

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