The extension complements the existing VS Code UX with features using the Command Palette, Source Control view, File Tree explorer, and even custom in-editor webviews, to aid data scientists in their model development and experimentation workflows. This extension eliminates the need for costly SaaS solutions for experiment tracking, turning VS Code into a native ML experimentation tool, built for developers.” “It simplifies data scientists' machine learning model development workflows and meets ML modelers where they work. “This is an open source VS Code extension for machine learning practitioners looking to accelerate their model development experience,” said Ivan Shcheklein, co-founder and CTO of Iterative. Through Git and Iterative’s DVC, the extension makes experiments easily reproducible, unlike traditional experiment tracking tools that just stream metrics. The DVC Extension for Visual Studio Code allows users of all technical backgrounds to create, compare, visualize, and reproduce machine learning experiments. VS Code is a coding editor that helps users to start coding quickly in any programming language.
SAN FRANCISCO-( BUSINESS WIRE)- Iterative, the MLOps company dedicated to streamlining the workflow of data scientists and machine learning (ML) engineers, today announced a free extension to Visual Studio Code (VS Code), a source-code editor made by Microsoft, for experiment tracking and machine learning model development.
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