What will you learn?
How you can version and compare datasets in Neptune.
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How to version datasets using artifacts in Neptune?
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How to filter runs that used a specific data version?
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How to group runs by data versions?
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How to compare runs based on the data versions used?
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How to track data versions for each stage of the model building pipeline?
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How to identify the latest or oldest version of the artifact?
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How to use the custom run ID to log metadata from multiple scripts or machines to a single run?
Important: This video was created in May 2022. For the most up-to-date code examples, please refer to the Neptune docs.
Other useful resources
Check the docs on working with artifacts: versioning datasets in runs.
More about How to Version and Compare Datasets
See also
Train, Track, and Deploy Your Models: Neptune + Modelbit Integration
See also
.upload(“product_updates_september_2023”)
See also
What is a Project in Neptune?
See also
Model Training: Detectron2 + neptune.ai Integration [Example]
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