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How to Track XGBoost Experiments and Data Versions

1 min

Dominika Kozub

14th December, 2022

Video Data versioning Experiment tracking

What will you learn?

How you can log XGBoost experiments and track multiple data versions locally or in the cloud using neptune.ai.

00:11
Creating a Neptune run
01:47
Tracking and versioning datasets stored in the S3
02:35
How does versioning work in Neptune?
03:06
Will Neptune store a dataset?
03:15
How can I log in a synchronous way?
03:43
How can I log and visualize samples of a dataset?
05:02
Is the data sample uploaded to the Neptune servers?
05:24
What are the namespaces?
05:42
How to use Neptune callback to track the XGBboost model training?
06:30
What are the benefits of using a Neptune integration?
07:07
Can I fetch metadata I logged to a Neptune run?
08:14
How to log test metrics?
09:00
Does Neptune store my trained models?

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