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>]
[--cli-auto-prompt <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.
(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
NotebookOutputOption
isAllowed
, the Amazon S3 bucket used to save the notebook cell output. IfS3OutputPath
isn’t specified, a default bucket is used.S3KmsKeyId -> (string)
When
NotebookOutputOption
isAllowed
, 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 SageMaker image created on the instance.
SageMakerImageArn -> (string)
The Amazon Resource Name (ARN) of the SageMaker image created on the instance.
InstanceType -> (string)
The instance type.
KernelGatewayAppSettings -> (structure)
The kernel gateway 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 Amazon Resource Name (ARN) of the SageMaker image created on the instance.
InstanceType -> (string)
The instance type.
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 Amazon Resource Name (ARN) of the SageMaker image created on the instance.
InstanceType -> (string)
The instance type.
Shorthand Syntax:
ExecutionRole=string,SecurityGroups=string,string,SharingSettings={NotebookOutputOption=string,S3OutputPath=string,S3KmsKeyId=string},JupyterServerAppSettings={DefaultResourceSpec={SageMakerImageArn=string,InstanceType=string}},KernelGatewayAppSettings={DefaultResourceSpec={SageMakerImageArn=string,InstanceType=string}},TensorBoardAppSettings={DefaultResourceSpec={SageMakerImageArn=string,InstanceType=string}}
JSON Syntax:
{
"ExecutionRole": "string",
"SecurityGroups": ["string", ...],
"SharingSettings": {
"NotebookOutputOption": "Allowed"|"Disabled",
"S3OutputPath": "string",
"S3KmsKeyId": "string"
},
"JupyterServerAppSettings": {
"DefaultResourceSpec": {
"SageMakerImageArn": "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",
"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"
}
},
"TensorBoardAppSettings": {
"DefaultResourceSpec": {
"SageMakerImageArn": "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.
--cli-auto-prompt
(boolean)
Automatically prompt for CLI input parameters.
See ‘aws help’ for descriptions of global parameters.