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Get Started: Experiment Management


  • Experiment tracking - Instrument your code to quickly start tracking experiments. Manage changes to code, data, metrics, parameters and plots associated with each experiment without bloating your Git repo.

  • Experimenting using pipelines - Leverage DVC data pipelines as an experiment management system. Split your workflow into stages, track dependencies and outputs, and natively inject parameters and hyper-parameters to experiment runs.

These are captured in our example-get-started-experiments repo (see its tags).

Where To Go Next

Pick a page from the list above, the left-side navigation bar, or just click NEXT below!

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