Lars Buitinck

2papers

2 Papers

HCJan 2, 2017
The leveled approach. Using and evaluating text mining tools AVResearcherXL and Texcavator for historical research on public perceptions of drugs

Berrie van der Molen, Lars Buitinck, Toine Pieters

We introduce our explorative historical leveled approach that we use to understand drug debates in the Royal Dutch Library's digital newspaper archive. In this approach we alternate between distant reading and close reading. Furthermore, we use this approach to evaluate two text mining tools: AVResearcherXL and Texcavator.

LGSep 1, 2013
API design for machine learning software: experiences from the scikit-learn project

Lars Buitinck, Gilles Louppe, Mathieu Blondel et al.

Scikit-learn is an increasingly popular machine learning li- brary. Written in Python, it is designed to be simple and efficient, accessible to non-experts, and reusable in various contexts. In this paper, we present and discuss our design choices for the application programming interface (API) of the project. In particular, we describe the simple and elegant interface shared by all learning and processing units in the library and then discuss its advantages in terms of composition and reusability. The paper also comments on implementation details specific to the Python ecosystem and analyzes obstacles faced by users and developers of the library.