Blog Archives

Most Popular Learners in mlr

March 29, 2017
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For the development of mlr as well as for an “machine learning expert” it can be handy to know what are the most popular learners used. Not necessarily to see, what are the top notch performing methods but to see what is used “out there” in the real world. Thanks to the nice little package cranlogs from

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Use mlrMBO to optimize via command line

March 21, 2017
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Many people who want to apply Bayesian optimization want to use it to optimize an algorithm that is not implemented in R but runs on the command line as a shell script or an executable. We recently published mlrMBO on CRAN. As a normal package it normally operates inside of R, but with this post I want to demonstrate how...

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First release of mlrMBO – the toolbox for (Bayesian) Black-Box Optimization

March 12, 2017
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First release of mlrMBO – the toolbox for (Bayesian) Black-Box Optimization

We are happy to finally announce the first release of mlrMBO on cran after a quite long development time. For the theoretical background and a nearly complete overview of mlrMBOs capabilities you can check our paper on mlrMBO that we presubmitted to arxiv. The key features of mlrMBO are: Global optimization of expensive Black-Box functions. Mulit-Criteria Optimization. Parallelization...

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Paper published: mlr – Machine Learning in R

October 19, 2016
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Paper published: mlr – Machine Learning in R

We are happy to announce that we can finally answer the question on how to cite mlr properly in publications. Our paper on mlr has been published in the open-access Journal of Machine Learning Research (JMLR) and can be downloaded on the journal home page.

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Visualization of predictions

July 27, 2015
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Visualization of predictions

In this post I want to shortly introduce you to the great visualization possibilities of mlr. Within the last months a lot of work has been put into that field. This post is not a tutorial but more a demonstration of how little code you have to write with mlr to get some nice plots showing the prediction...

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