NotebookInstanceState class
Input properties used for looking up and filtering NotebookInstance resources.
Constructors
-
NotebookInstanceState({Input<
List< ? additionalCodeRepositories, Input<String> ?>String?> ? arn, Input<String?> ? defaultCodeRepository, Input<String?> ? directInternetAccess, Input<NotebookInstanceInstanceMetadataServiceConfiguration?> ? instanceMetadataServiceConfiguration, Input<String?> ? instanceType, Input<String?> ? kmsKeyId, Input<String?> ? lifecycleConfigName, Input<String?> ? name, Input<String?> ? networkInterfaceId, Input<String?> ? platformIdentifier, Input<String?> ? region, Input<String?> ? roleArn, Input<String?> ? rootAccess, Input<List< ? securityGroups, Input<String> ?>String?> ? subnetId, Input<Map< ? tags, Input<String, String> ?>Map< ? tagsAll, Input<String, String> ?>String?> ? url, Input<int?> ? volumeSize}) -
Creates a new NotebookInstanceState.
additionalCodeRepositoriesAn array of up to three Git repositories to associate with the notebook instance.arnARN assigned by AWS to this notebook instance.defaultCodeRepositoryThe Git repository associated 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.directInternetAccessSet toDisabledto disable internet access to notebook. RequiressecurityGroupsandsubnetIdto be set. Supported values:Enabled(Default) orDisabled. If set toDisabled, the notebook instance will be able to access resources only in your VPC, and will not be able to connect to Amazon SageMaker AI training and endpoint services unless your configure a NAT Gateway in your VPC.instanceMetadataServiceConfigurationInformation on the IMDS configuration of the notebook instance. Conflicts withinstanceMetadataServiceConfiguration. see details below.instanceTypeThe name of ML compute instance type.kmsKeyIdKMS key that Amazon SageMaker AI uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.lifecycleConfigNameThe name of a lifecycle configuration to associate with the notebook instance.nameThe name of the notebook instance (must be unique).networkInterfaceIdThe network interface ID that Amazon SageMaker AI created at the time of creating the instance. Only available when settingsubnetId.platformIdentifierThe platform identifier of the notebook instance runtime environment. This value can be eithernotebook-al1-v1(deprecated),notebook-al2-v1(deprecated),notebook-al2-v2(deprecated),notebook-al2-v3, ornotebook-al2023-v1, depending on which version of Amazon Linux you require. Defaults tonotebook-al2-v3.regionRegion where this resource will be managed. Defaults to the Region set in the provider configuration.roleArnThe ARN of the IAM role to be used by the notebook instance which allows SageMaker AI to call other services on your behalf.rootAccessWhether root access isEnabledorDisabledfor users of the notebook instance. The default value isEnabled.securityGroupsThe associated security groups.subnetIdThe VPC subnet ID.tagsA map of tags to assign to the resource. If configured with a providerdefaultTagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.tagsAllA map of tags assigned to the resource, including those inherited from the providerdefaultTagsconfiguration block.urlThe URL that you use to connect to the Jupyter notebook that is running in your notebook instance.volumeSizeThe size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB.const -
NotebookInstanceState.fromMap(Map<
String, dynamic> map) -
factory
Properties
-
additionalCodeRepositories
→ Input<
List< ?String> ?> -
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.
final
-
arn
→ Input<
String?> ? -
ARN assigned by AWS to this notebook instance.
final
-
defaultCodeRepository
→ Input<
String?> ? -
The Git repository associated 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.
final
-
directInternetAccess
→ Input<
String?> ? -
Set to
Disabledto disable internet access to notebook. RequiressecurityGroupsandsubnetIdto be set. Supported values:Enabled(Default) orDisabled. If set toDisabled, the notebook instance will be able to access resources only in your VPC, and will not be able to connect to Amazon SageMaker AI training and endpoint services unless your configure a NAT Gateway in your VPC.final - hashCode → int
-
The hash code for this object.
no setterinherited
-
instanceMetadataServiceConfiguration
→ Input<
NotebookInstanceInstanceMetadataServiceConfiguration?> ? -
Information on the IMDS configuration of the notebook instance. Conflicts with
instanceMetadataServiceConfiguration. see details below.final -
instanceType
→ Input<
String?> ? -
The name of ML compute instance type.
final
-
kmsKeyId
→ Input<
String?> ? -
KMS key that Amazon SageMaker AI uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
final
-
lifecycleConfigName
→ Input<
String?> ? -
The name of a lifecycle configuration to associate with the notebook instance.
final
-
name
→ Input<
String?> ? -
The name of the notebook instance (must be unique).
final
-
networkInterfaceId
→ Input<
String?> ? -
The network interface ID that Amazon SageMaker AI created at the time of creating the instance. Only available when setting
subnetId.final -
platformIdentifier
→ Input<
String?> ? -
The platform identifier of the notebook instance runtime environment. This value can be either
notebook-al1-v1(deprecated),notebook-al2-v1(deprecated),notebook-al2-v2(deprecated),notebook-al2-v3, ornotebook-al2023-v1, depending on which version of Amazon Linux you require. Defaults tonotebook-al2-v3.final -
region
→ Input<
String?> ? -
Region where this resource will be managed. Defaults to the Region set in the provider configuration.
final
-
roleArn
→ Input<
String?> ? -
The ARN of the IAM role to be used by the notebook instance which allows SageMaker AI to call other services on your behalf.
final
-
rootAccess
→ Input<
String?> ? -
Whether root access is
EnabledorDisabledfor users of the notebook instance. The default value isEnabled.final - runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
-
securityGroups
→ Input<
List< ?String> ?> -
The associated security groups.
final
-
subnetId
→ Input<
String?> ? -
The VPC subnet ID.
final
-
A map of tags to assign to the resource. If configured with a provider
defaultTagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.final -
A map of tags assigned to the resource, including those inherited from the provider
defaultTagsconfiguration block.final -
url
→ Input<
String?> ? -
The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
final
-
volumeSize
→ Input<
int?> ? -
The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB.
final
Methods
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noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toMap(
) → Map< String, dynamic> -
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited