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In this video, I experiment with MLflow to:
- track machine learning experiments based on:
* metrics
* hyper-parameters
* source scripts executing the run
* code version
* notes & comments
- compare different runs between each other
- set up a tracking server locally and on AWS EC2 and S3
All the code is available on Github: github.com/ahmedbesbes/mlflow
Slides: docs.google.com/presentation/...
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Don't hesitate to comment if you have trouble with the code.
See you around!
Негізгі бет Ғылым және технология How to use MLflow on AWS to Better Track your Machine Learning Experiments
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