Amazon SageMaker Automatic Model Tuning now allows you to specify environment variables for your tuning jobs - devamazonaws.blogspot.com

SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by searching for the optimal set of hyperparameter configurations. Previously, you could only specify environment variables for your algorithm runtime in your SageMaker Training jobs, but not in your tuning jobs. Starting today, you have the flexibility to specify runtime environment variables for your scripts in your CreateTuningJob API. 

Post Updated on January 24, 2023 at 08:52PM

Comments

Popular posts from this blog

[MS] Boosting Azure DevOps Security with GHAS Code Scanning - devamazonaws.blogspot.com

[MS] Pulling a single item from a C++ parameter pack by its index, remarks - devamazonaws.blogspot.com

[MS] GitHub Copilot upgrade assistant for Java技术预览发布 - devamazonaws.blogspot.com