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UpdateNotebookInstanceInput

Source code in docs_src/capo_sagemaker/types/update_notebook_instance_input.py
class UpdateNotebookInstanceInput(TypedDict, closed=True):
    notebook_instance_name: NotRequired[
        "capo_sagemaker.types.notebook_instance_name.NotebookInstanceName"
    ]
    """<p>The name of the notebook instance to update.</p>"""
    instance_type: NotRequired["capo_sagemaker.types.instance_type.InstanceType"]
    """<p>The Amazon ML compute instance type.</p>"""
    ip_address_type: NotRequired["capo_sagemaker.types.ip_address_type.IPAddressType"]
    """<p>The IP address type for the notebook instance. Specify <code>ipv4</code> for IPv4-only connectivity or <code>dualstack</code> for both IPv4 and IPv6 connectivity. The notebook instance must be stopped before updating this setting. When you specify <code>dualstack</code>, the subnet must support IPv6 addressing.</p>"""
    platform_identifier: NotRequired[
        "capo_sagemaker.types.platform_identifier.PlatformIdentifier"
    ]
    """<p>The platform identifier of the notebook instance runtime environment.</p>"""
    role_arn: NotRequired["capo_sagemaker.types.role_arn.RoleArn"]
    """<p>The Amazon Resource Name (ARN) of the IAM role that SageMaker AI can assume to access the notebook instance. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">SageMaker AI Roles</a>. </p> <note> <p>To be able to pass this role to SageMaker AI, the caller of this API must have the <code>iam:PassRole</code> permission.</p> </note>"""
    lifecycle_config_name: NotRequired[
        "capo_sagemaker.types.notebook_instance_lifecycle_config_name.NotebookInstanceLifecycleConfigName"
    ]
    """<p>The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html">Step 2.1: (Optional) Customize a Notebook Instance</a>.</p>"""
    disassociate_lifecycle_config: NotRequired[
        "capo_sagemaker.types.disassociate_notebook_instance_lifecycle_config.DisassociateNotebookInstanceLifecycleConfig"
    ]
    """<p>Set to <code>true</code> 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.</p>"""
    volume_size_in_gb: NotRequired[
        "capo_sagemaker.types.notebook_instance_volume_size_in_gb.NotebookInstanceVolumeSizeInGB"
    ]
    """<p>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 SageMaker AI 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.</p>"""
    default_code_repository: NotRequired[
        "capo_sagemaker.types.code_repository_name_or_url.CodeRepositoryNameOrUrl"
    ]
    """<p>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 <a href="https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html">Amazon Web Services CodeCommit</a> 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 <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html">Associating Git Repositories with SageMaker AI Notebook Instances</a>.</p>"""
    additional_code_repositories: NotRequired[
        "capo_sagemaker.types.additional_code_repository_names_or_urls.AdditionalCodeRepositoryNamesOrUrls"
    ]
    """<p>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 <a href="https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html">Amazon Web Services CodeCommit</a> 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 <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html">Associating Git Repositories with SageMaker AI Notebook Instances</a>.</p>"""
    accelerator_types: NotRequired[
        "capo_sagemaker.types.notebook_instance_accelerator_types.NotebookInstanceAcceleratorTypes"
    ]
    """<p>This parameter is no longer supported. Elastic Inference (EI) is no longer available.</p> <p>This parameter was used to specify a list of the EI instance types to associate with this notebook instance.</p>"""
    disassociate_accelerator_types: NotRequired[
        "capo_sagemaker.types.disassociate_notebook_instance_accelerator_types.DisassociateNotebookInstanceAcceleratorTypes"
    ]
    """<p>This parameter is no longer supported. Elastic Inference (EI) is no longer available.</p> <p>This parameter was used to specify a list of the EI instance types to remove from this notebook instance.</p>"""
    disassociate_default_code_repository: NotRequired[
        "capo_sagemaker.types.disassociate_default_code_repository.DisassociateDefaultCodeRepository"
    ]
    """<p>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.</p>"""
    disassociate_additional_code_repositories: NotRequired[
        "capo_sagemaker.types.disassociate_additional_code_repositories.DisassociateAdditionalCodeRepositories"
    ]
    """<p>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.</p>"""
    root_access: NotRequired["capo_sagemaker.types.root_access.RootAccess"]
    """<p>Whether root access is enabled or disabled for users of the notebook instance. The default value is <code>Enabled</code>.</p> <note> <p>If you set this to <code>Disabled</code>, users don't have root access on the notebook instance, but lifecycle configuration scripts still run with root permissions.</p> </note>"""
    instance_metadata_service_configuration: NotRequired[
        "capo_sagemaker.types.instance_metadata_service_configuration.InstanceMetadataServiceConfiguration"
    ]
    """<p>Information on the IMDS configuration of the notebook instance</p>"""

accelerator_types instance-attribute

accelerator_types: NotRequired[NotebookInstanceAcceleratorTypes]

This parameter is no longer supported. Elastic Inference (EI) is no longer available.

This parameter was used to specify a list of the EI instance types to associate with this notebook instance.

additional_code_repositories instance-attribute

additional_code_repositories: NotRequired[AdditionalCodeRepositoryNamesOrUrls]

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 Amazon Web Services 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 SageMaker AI Notebook Instances.

default_code_repository instance-attribute

default_code_repository: NotRequired[CodeRepositoryNameOrUrl]

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 Amazon Web Services 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 SageMaker AI Notebook Instances.

disassociate_accelerator_types instance-attribute

disassociate_accelerator_types: NotRequired[
    DisassociateNotebookInstanceAcceleratorTypes
]

This parameter is no longer supported. Elastic Inference (EI) is no longer available.

This parameter was used to specify a list of the EI instance types to remove from this notebook instance.

disassociate_additional_code_repositories instance-attribute

disassociate_additional_code_repositories: NotRequired[
    DisassociateAdditionalCodeRepositories
]

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.

disassociate_default_code_repository instance-attribute

disassociate_default_code_repository: NotRequired[DisassociateDefaultCodeRepository]

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_lifecycle_config instance-attribute

disassociate_lifecycle_config: NotRequired[DisassociateNotebookInstanceLifecycleConfig]

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.

instance_metadata_service_configuration instance-attribute

instance_metadata_service_configuration: NotRequired[
    InstanceMetadataServiceConfiguration
]

Information on the IMDS configuration of the notebook instance

instance_type instance-attribute

instance_type: NotRequired[InstanceType]

The Amazon ML compute instance type.

ip_address_type instance-attribute

ip_address_type: NotRequired[IPAddressType]

The IP address type for the notebook instance. Specify ipv4 for IPv4-only connectivity or dualstack for both IPv4 and IPv6 connectivity. The notebook instance must be stopped before updating this setting. When you specify dualstack, the subnet must support IPv6 addressing.

lifecycle_config_name instance-attribute

lifecycle_config_name: NotRequired[NotebookInstanceLifecycleConfigName]

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.

notebook_instance_name instance-attribute

notebook_instance_name: NotRequired[NotebookInstanceName]

The name of the notebook instance to update.

platform_identifier instance-attribute

platform_identifier: NotRequired[PlatformIdentifier]

The platform identifier of the notebook instance runtime environment.

role_arn instance-attribute

role_arn: NotRequired[RoleArn]

The Amazon Resource Name (ARN) of the IAM role that SageMaker AI can assume to access the notebook instance. For more information, see SageMaker AI Roles.

To be able to pass this role to SageMaker AI, the caller of this API must have the iam:PassRole permission.

root_access instance-attribute

root_access: NotRequired[RootAccess]

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

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.

volume_size_in_gb instance-attribute

volume_size_in_gb: NotRequired[NotebookInstanceVolumeSizeInGB]

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 SageMaker AI 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.