  In this paper we explore the challenges of automating experiments in data
science. We propose an extensible experiment model as a foundation for
integration of different open source tools for running research experiments. We
implement our approach in a prototype open source MLDev software package and
evaluate it in a series of experiments yielding promising results. Comparison
with other state-of-the-art tools signifies novelty of our approach.
