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Deploying Machine Learning Models with mlflow and Amazon SageMaker
Автор: Julien Simon
Загружено: 2020-02-14
Просмотров: 19751
Описание:
In this video, I first train an XGBoost model on my local machine (I use PyCharm), and visualize results in the mlflow UI. Then, I deploy the model locally, and predict test data. Next, I create a Docker container, push it to Amazon ECR, and use it to deploy my model on Amazon SageMaker.
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Code: https://gitlab.com/juliensimon/sagema...
Documentation: https://www.mlflow.org/
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