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Use W&B Sweeps to automate hyperparameter search and visualize rich, interactive experiment tracking. Pick from popular search methods such as Bayesian, grid search, and random to search the hyperparameter space. Scale and parallelize sweep across one or more machines.
Hyperparameter tuning insights

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How it works

Create a sweep with two W&B CLI commands:
  1. Initialize a sweep.
wandb sweep --project <project-name> <path-to-config file>
  1. Start the sweep agent.
wandb agent <sweep-ID>
The preceding code snippet, and the colab linked on this page, show how to initialize and create a sweep with the W&B CLI. See the Sweeps walkthrough to use the Python SDK to configure, initialize, and run a sweep.

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How to get started

Depending on your use case, explore the following resources to get started with W&B Sweeps: For a step-by-step video, see: Tune Hyperparameters Easily with W&B Sweeps.