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Tuesday, June 28 • 10:48am - 11:06am
Connecting R to the OpenML project for Open Machine Learning

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OpenML is an online machine learning platform where researchers can automatically log and share data, code, and experiments, and organize them online to work and collaborate more effectively. We present an R package to interface the OpenML platform and illustrate its usage both as a stand-alone package and in combination with the mlr machine learning package. We show how the OpenML package allows R users to easily search, download and upload machine learning datasets. Users can easily log their auto ML experiment results online, have them evaluated on the server, share them with others and download results from other researchers to build on them. Beyond ensuring reproducibility of results, it automates much of the drudge work, speeds up research, facilitates collaboration and increases user's visibility online. Currently, OpenML has 1,000+ registered users, 2,000+ unique monthly visitors, 2,000+ datasets, and 500,000+ experiments. The OpenML server currently supports client interfaces for Java, Python, .NET and R as well as specific interfaces for the WEKA, MOA, RapidMiner, scikit-learn and mlr toolboxes for machine learning.

avatar for Heather Turner

Heather Turner

Freelance consultant
I'm a freelance statistical computing consultant providing support in R to people in a range of industries, but particularly the life sciences. My interests include statistical modelling, clustering, bioinformatics, reproducible research and graphics. I am leading the R Foundation Task Force on Women in R and co-chairing the program committee for useR! 2017, so talk to me about your ideas for promoting women in the R community and suggestions for... Read More →

avatar for Joaquin Vanschoren

Joaquin Vanschoren

Assistant Professor, Eindhoven University of Technology
My research focuses on the automation and democratization of machine learning. I founded OpenML.org, a collaborative machine learning platform where scientists can automatically log and share data, code, and experiments, and which automatically learns from all this data to help people perform machine learning better and easier. As such, I'm also very active in AutoML, working on algorithms to automate the tedious and error-prone aspects of... Read More →

Tuesday June 28, 2016 10:48am - 11:06am
McCaw Hall 326 Galvez Street Stanford, CA 94305-6105

Attendees (94)