update-notebook-instance¶

Description¶

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.

Synopsis¶

  update-notebook-instance
--notebook-instance-name <value>
[--instance-type <value>]
[--role-arn <value>]
[--lifecycle-config-name <value>]
[--disassociate-lifecycle-config | --no-disassociate-lifecycle-config]
[--volume-size-in-gb <value>]
[--default-code-repository <value>]
[--additional-code-repositories <value>]
[--accelerator-types <value>]
[--disassociate-accelerator-types | --no-disassociate-accelerator-types]
[--disassociate-default-code-repository | --no-disassociate-default-code-repository]
[--disassociate-additional-code-repositories | --no-disassociate-additional-code-repositories]
[--root-access <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options¶

--notebook-instance-name (string)

The name of the notebook instance to update.

--instance-type (string)

The Amazon ML compute instance type.

Possible values:

ml.t2.medium

ml.t2.large

ml.t2.xlarge

ml.t2.2xlarge

ml.t3.medium

ml.t3.large

ml.t3.xlarge

ml.t3.2xlarge

ml.m4.xlarge

ml.m4.2xlarge

ml.m4.4xlarge

ml.m4.10xlarge

ml.m4.16xlarge

ml.m5.xlarge

ml.m5.2xlarge

ml.m5.4xlarge

ml.m5.12xlarge

ml.m5.24xlarge

ml.c4.xlarge

ml.c4.2xlarge

ml.c4.4xlarge

ml.c4.8xlarge

ml.c5.xlarge

ml.c5.2xlarge

ml.c5.4xlarge

ml.c5.9xlarge

ml.c5.18xlarge

ml.c5d.xlarge

ml.c5d.2xlarge

ml.c5d.4xlarge

ml.c5d.9xlarge

ml.c5d.18xlarge

ml.p2.xlarge

ml.p2.8xlarge

ml.p2.16xlarge

ml.p3.2xlarge

ml.p3.8xlarge

ml.p3.16xlarge

--role-arn (string)

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.

--lifecycle-config-name (string)

The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance .

--disassociate-lifecycle-config | --no-disassociate-lifecycle-config (boolean)

Set to true to remove the notebook instance lifecycle configuration currently associated with the notebook instance. This operation is idempotent. If you specify a lifecycle configuration that is not associated with the notebook instance when you call this method, it does not throw an error.

--volume-size-in-gb (integer)

The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB. ML storage volumes are encrypted, so Amazon SageMaker can’t determine the amount of available free space on the volume. Because of this, you can increase the volume size when you update a notebook instance, but you can’t decrease the volume size. If you want to decrease the size of the ML storage volume in use, create a new notebook instance with the desired size.

--default-code-repository (string)

The Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances .

--additional-code-repositories (list)

An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances .

(string)

Syntax:

"string" "string" ...

--accelerator-types (list)

A list of the Elastic Inference (EI) instance types to associate with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker .

(string)

Syntax:

"string" "string" ...

Where valid values are:
  ml.eia1.medium
  ml.eia1.large
  ml.eia1.xlarge
  ml.eia2.medium
  ml.eia2.large
  ml.eia2.xlarge

--disassociate-accelerator-types | --no-disassociate-accelerator-types (boolean)

A list of the Elastic Inference (EI) instance types to remove from this notebook instance. This operation is idempotent. If you specify an accelerator type that is not associated with the notebook instance when you call this method, it does not throw an error.

--disassociate-default-code-repository | --no-disassociate-default-code-repository (boolean)

The name or URL of the default Git repository to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.

--disassociate-additional-code-repositories | --no-disassociate-additional-code-repositories (boolean)

A list of names or URLs of the default Git repositories to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.

--root-access (string)

Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled .

Note

If you set this to Disabled , users don’t have root access on the notebook instance, but lifecycle configuration scripts still run with root permissions.

Possible values:

Enabled

Disabled

--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.

Output¶

None

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