2018/08/17 - Amazon SageMaker Service - 1 updated api methods
Changes Update sagemaker client to latest version
{'DisassociateLifecycleConfig': 'boolean', 'LifecycleConfigName': 'string'}
Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements. You can also update the VPC security groups.
See also: AWS API Documentation
Request Syntax
client.update_notebook_instance( NotebookInstanceName='string', InstanceType='ml.t2.medium'|'ml.t2.large'|'ml.t2.xlarge'|'ml.t2.2xlarge'|'ml.m4.xlarge'|'ml.m4.2xlarge'|'ml.m4.4xlarge'|'ml.m4.10xlarge'|'ml.m4.16xlarge'|'ml.p2.xlarge'|'ml.p2.8xlarge'|'ml.p2.16xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge', RoleArn='string', LifecycleConfigName='string', DisassociateLifecycleConfig=True|False )
string
[REQUIRED]
The name of the notebook instance to update.
string
The Amazon ML compute instance type.
string
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access the notebook instance. For more information, see Amazon SageMaker Roles.
Note
To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.
string
The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see notebook-lifecycle-config.
boolean
Set to true to remove the notebook instance lifecycle configuration currently associated with the notebook instance.
dict
Response Syntax
{}
Response Structure
(dict) --