Resources

How to Monitor a Model in the Production

1 min

Kamil Kaczmarek

21st April, 2022

Video Reinforcement learning Monitoring

What will you learn?

How you can monitor models in production based on the reward score.

02:15
The automated monitoring workflow
02:50
Fetching the in-production run and logging the monitoring metadata
03:58
How will the monitoring metadata look like in the Neptune UI?

Important: This video was created in February 2022. For the most up-to-date code examples, please refer to the Neptune docs.

Other useful resources

See also the docs on how to use Neptune with GitHub Actions.

More about How to Monitor a Model in the Production

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What is a Project in Neptune?

Model Training: Detectron2 + neptune.ai Integration [Example]

Model Training: Prophet + neptune.ai Integration [Example]

Explore more resources:

Content type

Case study Example dashboard Example project Product update Video Webinar

Area of interest

Computer vision NLP Reinforcement learning Tabular data Time series

Area of interest

Collaboration Comparison Debugging Evaluation Monitoring Reporting Reproducibility Tracking Versioning

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