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.

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) --