Sagemaker session. This class provides convenient methods for manipulating entities and resources that Amazon SageMaker uses, such as training jobs, endpoints, and input datasets in S3. AWS service calls are delegated to an underlying Boto3 session, which by default is initialized using the AWS configuration chain. Parameters boto_session (boto3. LogState ¶ Bases: object Placeholder docstring STARTING = 1 ¶ WAIT_IN_PROGRESS = 2 ¶ TAILING = 3 ¶ JOB_COMPLETE = 4 ¶ COMPLETE = 5 ¶ class sagemaker. Session) – The underlying Boto3 session which AWS service calls are delegated to (default: None). Nov 14, 2024 ยท The session acts as a bridge between the SageMaker SDK commands in our notebook and AWS services. Session ¶ Placeholder docstring class sagemaker. SageMaker. default_bucket_prefix (str) – The default prefix to use for S3 Object Keys. . 8sd0uuy mkl et6rv p5mgzut oi4 d8ly 59bk jb2ebzz bc7 pu4wpw