Hands-On: Try quick start to grasp a concept of SavviHub
In Savvihub, a sweep is a term for hyperparameter optimization or tuning of a machine learning model. Sweep tries a group of experiments with different hyperparameters to optimize the model performance. The sweep results consist of monitoring, logs, and metadata which you can find at the corresponding tabs on each Sweep page.
You can find a list of sweeps on each project page. If you want to examine the sweep detail page, click the name of the experiment.