AWS nova documentation change
Summary
Added new CLI example for creating MLflow apps and changed section title from 'Reinforcement fine-tuning' to 'Reinforcement Fine-Tuning (RFT)'
Security assessment
The change adds operational documentation for MLflow app creation via CLI but contains no security-related content. The added code snippet shows non-sensitive parameters (app name, bucket name) without security configurations. The title change is cosmetic capitalization/abbreviation update with no security implications.
Diff
diff --git a/nova/latest/nova2-userguide/nova-model-monitor.md b/nova/latest/nova2-userguide/nova-model-monitor.md index ca32e0576..0d9e06dde 100644 --- a//nova/latest/nova2-userguide/nova-model-monitor.md +++ b//nova/latest/nova2-userguide/nova-model-monitor.md @@ -102,0 +103,16 @@ MLFlow integration is already built into the SageMaker Studio UI experience. Whe +### Submitting a job via the AWSAWS CLI + +If you use the AWS AWS CLI, you must create an MLflow app and pass it as an input to the training job API request. + + + mlflow_app_name="<enter your MLflow app name>" + role_arn="<enter your role ARN>" + bucket_name="<enter your bucket name>" + region="<enter your region>" + + mlflow_app_arn=$(aws sagemaker create-mlflow-app \ + --name $mlflow_app_name \ + --artifact-store-uri "s3://$bucket_name" \ + --role-arn $role_arn \ + --region $region) + @@ -199 +215 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please -Reinforcement fine-tuning +Reinforcement Fine-Tuning (RFT)