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[ aws . sagemaker ]

update-user-profile

Description

Updates a user profile.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  update-user-profile
--domain-id <value>
--user-profile-name <value>
[--user-settings <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--domain-id (string)

The domain ID.

--user-profile-name (string)

The user profile name.

--user-settings (structure)

A collection of settings.

Shorthand Syntax:

ExecutionRole=string,SecurityGroups=string,string,SharingSettings={NotebookOutputOption=string,S3OutputPath=string,S3KmsKeyId=string},JupyterServerAppSettings={DefaultResourceSpec={EnvironmentArn=string,InstanceType=string}},KernelGatewayAppSettings={DefaultResourceSpec={EnvironmentArn=string,InstanceType=string}},TensorBoardAppSettings={DefaultResourceSpec={EnvironmentArn=string,InstanceType=string}}

JSON Syntax:

{
  "ExecutionRole": "string",
  "SecurityGroups": ["string", ...],
  "SharingSettings": {
    "NotebookOutputOption": "Allowed"|"Disabled",
    "S3OutputPath": "string",
    "S3KmsKeyId": "string"
  },
  "JupyterServerAppSettings": {
    "DefaultResourceSpec": {
      "EnvironmentArn": "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": {
      "EnvironmentArn": "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": {
      "EnvironmentArn": "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 (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI 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.

--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. 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.

Output

UserProfileArn -> (string)

The user profile Amazon Resource Name (ARN).