JetTrain: IDE-Native Machine Learning Experiments

• URL: http://arxiv.org/abs/2402.10857v1
• Date: Fri, 16 Feb 2024 17:53:08 GMT
• Title: JetTrain: IDE-Native Machine Learning Experiments
• Authors: Artem Trofimov, Mikhail Kostyukov, Sergei Ugdyzhekov, Natalia Ponomareva, Igor Naumov, Maksim Melekhovets
• Abstract summary: JetTrain is an integrated development environments (IDEs) tool for launching machine learning (ML) experiments. 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.
• Score: 4.23507375452691
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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