Amazon SageMaker Service

{'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
)

type NotebookInstanceName

string

param NotebookInstanceName

[REQUIRED]

The name of the notebook instance to update.

type InstanceType

string

param InstanceType

The Amazon ML compute instance type.

type RoleArn

string

param RoleArn

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.

type LifecycleConfigName

string

param LifecycleConfigName

The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see notebook-lifecycle-config .

type DisassociateLifecycleConfig

boolean

param DisassociateLifecycleConfig

Set to true to remove the notebook instance lifecycle configuration currently associated with the notebook instance.

rtype

dict

returns

Response Syntax

{}

Response Structure

• (dict) --