Updates a user profile.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
update-user-profile
--domain-id <value>
--user-profile-name <value>
[--user-settings <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--domain-id (string)
The domain ID.
--user-profile-name (string)
The user profile name.
--user-settings (structure)
A collection of settings.
ExecutionRole -> (string)
The execution role for the user.
SecurityGroups -> (list)
The security groups for the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
Optional when the
CreateDomain.AppNetworkAccessTypeparameter is set toPublicInternetOnly.Required when the
CreateDomain.AppNetworkAccessTypeparameter is set toVpcOnly.Amazon SageMaker adds a security group to allow NFS traffic from SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.
(string)
SharingSettings -> (structure)
The sharing settings.
NotebookOutputOption -> (string)
Whether to include the notebook cell output when sharing the notebook. The default is
Disabled.S3OutputPath -> (string)
When
NotebookOutputOptionisAllowed, the Amazon S3 bucket used to store the shared notebook snapshots.S3KmsKeyId -> (string)
When
NotebookOutputOptionisAllowed, the AWS Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.JupyterServerAppSettings -> (structure)
The Jupyter server’s app settings.
DefaultResourceSpec -> (structure)
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app.
SageMakerImageArn -> (string)
The ARN of the SageMaker image that the image version belongs to.
SageMakerImageVersionArn -> (string)
The ARN of the image version created on the instance.
InstanceType -> (string)
The instance type that the image version runs on.
KernelGatewayAppSettings -> (structure)
The kernel gateway app settings.
DefaultResourceSpec -> (structure)
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.
SageMakerImageArn -> (string)
The ARN of the SageMaker image that the image version belongs to.
SageMakerImageVersionArn -> (string)
The ARN of the image version created on the instance.
InstanceType -> (string)
The instance type that the image version runs on.
CustomImages -> (list)
A list of custom SageMaker images that are configured to run as a KernelGateway app.
(structure)
A custom SageMaker image. For more information, see Bring your own SageMaker image .
ImageName -> (string)
The name of the CustomImage. Must be unique to your account.
ImageVersionNumber -> (integer)
The version number of the CustomImage.
AppImageConfigName -> (string)
The name of the AppImageConfig.
TensorBoardAppSettings -> (structure)
The TensorBoard app settings.
DefaultResourceSpec -> (structure)
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
SageMakerImageArn -> (string)
The ARN of the SageMaker image that the image version belongs to.
SageMakerImageVersionArn -> (string)
The ARN of the image version created on the instance.
InstanceType -> (string)
The instance type that the image version runs on.
JSON Syntax:
{
"ExecutionRole": "string",
"SecurityGroups": ["string", ...],
"SharingSettings": {
"NotebookOutputOption": "Allowed"|"Disabled",
"S3OutputPath": "string",
"S3KmsKeyId": "string"
},
"JupyterServerAppSettings": {
"DefaultResourceSpec": {
"SageMakerImageArn": "string",
"SageMakerImageVersionArn": "string",
"InstanceType": "system"|"ml.t3.micro"|"ml.t3.small"|"ml.t3.medium"|"ml.t3.large"|"ml.t3.xlarge"|"ml.t3.2xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.8xlarge"|"ml.m5.12xlarge"|"ml.m5.16xlarge"|"ml.m5.24xlarge"|"ml.c5.large"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.12xlarge"|"ml.c5.18xlarge"|"ml.c5.24xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"
}
},
"KernelGatewayAppSettings": {
"DefaultResourceSpec": {
"SageMakerImageArn": "string",
"SageMakerImageVersionArn": "string",
"InstanceType": "system"|"ml.t3.micro"|"ml.t3.small"|"ml.t3.medium"|"ml.t3.large"|"ml.t3.xlarge"|"ml.t3.2xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.8xlarge"|"ml.m5.12xlarge"|"ml.m5.16xlarge"|"ml.m5.24xlarge"|"ml.c5.large"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.12xlarge"|"ml.c5.18xlarge"|"ml.c5.24xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"
},
"CustomImages": [
{
"ImageName": "string",
"ImageVersionNumber": integer,
"AppImageConfigName": "string"
}
...
]
},
"TensorBoardAppSettings": {
"DefaultResourceSpec": {
"SageMakerImageArn": "string",
"SageMakerImageVersionArn": "string",
"InstanceType": "system"|"ml.t3.micro"|"ml.t3.small"|"ml.t3.medium"|"ml.t3.large"|"ml.t3.xlarge"|"ml.t3.2xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.8xlarge"|"ml.m5.12xlarge"|"ml.m5.16xlarge"|"ml.m5.24xlarge"|"ml.c5.large"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.12xlarge"|"ml.c5.18xlarge"|"ml.c5.24xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"
}
}
}
--cli-input-json | --cli-input-yaml (string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.
--generate-cli-skeleton (string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
See ‘aws help’ for descriptions of global parameters.