Powerful pythonic search to select the runs for analysis and comparison.
Automatically track displaCy visualizations and compare them at scale.
Group images by hyperparameters to visualize them in the needed order
Group images by step or epoch to see the evolution
Group metrics by hyperparameters to analyze hyperparameters’ influence on run performance
Select multiple metrics and analyze them side by side
Aggregate metrics by std.dev, std.err, conf.interval, to observe average, min and max values of metrics you track
Deep dive into details of each run for easy debugging