Use reports to take notes, share intermediate results, and get feedback with the new comments feature.
Group runs and create a bar chart to access new custom features: box plots and violin plots.
Use Artifacts to store and keep track of datasets, models, and evaluation results across machine learning pipelines. Think of an artifact as a versioned folder of data. You can store entire datasets directly in artifacts, or use artifact references to point to data in other systems.
Use this new feature to calculate custom x-axes. You can pull in data from metrics, config, and summary.
Did you accidentally delete runs? Go to your project overview tab and click the dropdown menu to undelete all deleted runs for your project.
Starting with wandb version 0.8.28, our library can now save the code from your main training file where you call wandb.init(). Turn this feature on in your settings page. When you add a new custom panel to your workspace or report, you’ll now find Code Comparer as an option. Diff any two experiments in your project and see exactly which lines of code changed. Here’s an example:
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