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Start a W&B Sweep on one or more agents on one or more machines. W&B Sweep agents query the W&B server you launched when you initialized a W&B Sweep (wandb sweep) for hyperparameters and use them to run model training. To start a W&B Sweep agent, provide the W&B Sweep ID that was returned when you initialized a W&B Sweep. The W&B Sweep ID has the form: 
entity/project/sweep_ID
Where:
  • entity: Your W&B username or team name.
  • project: The name of the project where you want the output of the W&B Run to be stored. If the project is not specified, the run is put in an “Uncategorized” project.
  • sweep_ID: The pseudo random, unique ID generated by W&B.
Provide the name of the function the W&B Sweep will execute if you start a W&B Sweep agent within a Jupyter Notebook or Python script. The proceeding code snippets demonstrate how to start an agent with W&B. We assume you already have a configuration file and you have already initialized a W&B Sweep. For more information about how to define a configuration file, see Define sweep configuration.
  • CLI
  • Python script or notebook
Use the wandb agent command to start a sweep. Provide the sweep ID that was returned when you initialized the sweep. Copy and paste the code snippet below and replace sweep_id with your sweep ID:
wandb agent sweep_id

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Stop W&B agent

Random and Bayesian searches will run forever. You must stop the process from the command line, within your python script, or the Sweeps UI.
Optionally specify the number of W&B Runs a Sweep agent should try. The following code snippets demonstrate how to set a maximum number of W&B Runs with the CLI and within a Jupyter Notebook, Python script.
  • Python script or notebook
  • CLI
First, initialize your sweep. For more information, see Initialize sweeps.
sweep_id = wandb.sweep(sweep_config)
Next, start the sweep job. Provide the sweep ID generated from sweep initiation. Pass an integer value to the count parameter to set the maximum number of runs to try.
sweep_id, count = "dtzl1o7u", 10
wandb.agent(sweep_id, count=count)
If you start a new run after the sweep agent has finished, within the same script or notebook, then you should call wandb.teardown() before starting the new run.
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