تقرير
MLDev: Data Science Experiment Automation and Reproducibility Software
| العنوان: | MLDev: Data Science Experiment Automation and Reproducibility Software |
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| المؤلفون: | Khritankov, Anton, Pershin, Nikita, Ukhov, Nikita, Ukhov, Artem |
| المصدر: | DAMDID/RCDL-2021, CCIS vol. 1620 (2022), Springer Cham, 3-18 |
| سنة النشر: | 2021 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Machine Learning, Computer Science - Mathematical Software, Computer Science - Software Engineering, I.2.m |
| الوصف: | 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. Comment: 11 pages, 2 figures |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1007/978-3-031-12285-9_1 |
| URL الوصول: | http://arxiv.org/abs/2107.12322 |
| رقم الأكسشن: | edsarx.2107.12322 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1007/978-3-031-12285-9_1 |
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