JetTrain: IDE-Native Machine Learning Experiments
February 16, 2024 Β· Declared Dead Β· π Ide
"No code URL or promise found in abstract"
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Authors
Artem Trofimov, Mikhail Kostyukov, Sergei Ugdyzhekov, Natalia Ponomareva, Igor Naumov, Maksim Melekhovets
arXiv ID
2402.10857
Category
cs.SE: Software Engineering
Cross-listed
cs.LG
Citations
0
Venue
Ide
Last Checked
5 months ago
Abstract
Integrated development environments (IDEs) are prevalent code-writing and debugging tools. However, they have yet to be widely adopted for launching machine learning (ML) experiments. This work aims to fill this gap by introducing JetTrain, an IDE-integrated tool that delegates specific tasks from an IDE to remote computational resources. A user can write and debug code locally and then seamlessly run it remotely using on-demand hardware. We argue that this approach can lower the entry barrier for ML training problems and increase experiment throughput.
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