arXiv · 2107.12322
MLDev: Data Science Experiment Automation and Reproducibility Software
Abstract
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.
Explore related subjects
Keep this discovery
Anton Khritankov, Nikita Pershin, Nikita Ukhov, Artem Ukhov. 2021-07-26. MLDev: Data Science Experiment Automation and Reproducibility Software. https://doi.org/10.1007/978-3-031-12285-9_1
Cite the original work for its findings. Save a collection to share your selection of sources.