Gaussian Process Models with Low-Rank Correlation Matrices for Both Continuous and Categorical Inputs

no code implementations • 6 Oct 2020 • Dominik Kirchhoff, Sonja Kuhnt

Furthermore, we present a systematic approach of defining test functions that can be used for assessing the accuracy of models or optimization methods that are concerned with both continuous and categorical inputs.

OpenML: An R Package to Connect to the Machine Learning Platform OpenML

1 code implementation • 5 Jan 2017 • Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl

We show how the OpenML package allows R users to easily search, download and upload data sets and machine learning tasks.

BIG-bench Machine Learning

mlr Tutorial

no code implementations • 18 Sep 2016 • Julia Schiffner, Bernd Bischl, Michel Lang, Jakob Richter, Zachary M. Jones, Philipp Probst, Florian Pfisterer, Mason Gallo, Dominik Kirchhoff, Tobias Kühn, Janek Thomas, Lars Kotthoff

This document provides and in-depth introduction to the mlr framework for machine learning experiments in R.

BIG-bench Machine Learning