What will you learn?
How you can compare groups of runs and identify the best performing runs in your Neptune project.
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How to compare different runs?
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Using the Project Views to filter and compare runs
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You can sort runs by the metadata column (i.e. accuracy)
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You can group runs by the metadata column (i.e. optimizer)
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You can compare runs through the learning curves
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Using the Parallel Coordinate Plots to compare runs
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Using the Side-by-Side to compare runs
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Using the Project-level Custom Dashboards to compare runs
Important: This video was created in February 2021. For the most up-to-date code examples, please refer to the Neptune docs.
Other useful resources
More about How to Compare Groups of Runs and Identify the Best Performing Ones
What is a Project in Neptune?
Model Training: Detectron2 + neptune.ai Integration [Example]
Model Training: Prophet + neptune.ai Integration [Example]
Create AzureML Pipeline – Workshop with Aurimas Griciūnas
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