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JetTrain: IDE-Native Machine Learning Experiments
Feb. 19, 2024, 5:42 a.m. | Artem Trofimov, Mikhail Kostyukov, Sergei Ugdyzhekov, Natalia Ponomareva, Igor Naumov, Maksim Melekhovets
cs.LG updates on arXiv.org arxiv.org
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 …
abstract arxiv code computational cs.lg cs.se debugging development environments gap ide integrated development environments machine machine learning machine learning experiments resources specific tasks tasks tool tools type work writing
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