MLDev: Data Science Experiment Automation and Reproducibility Software
Khritankov, Anton, Pershin, Nikita, Ukhov, Nikita, Ukhov, Artem
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jul-26-2021
- Country:
- Asia > Russia (0.04)
- Europe
- Russia > Central Federal District
- Moscow Oblast > Moscow (0.05)
- Italy > Tuscany
- Florence (0.04)
- Russia > Central Federal District
- Genre:
- Research Report > Experimental Study (0.46)
- Industry:
- Information Technology (0.68)
- Technology: