Class CfnNotebookInstanceProps.Jsii$Proxy
- All Implemented Interfaces:
CfnNotebookInstanceProps
,software.amazon.jsii.JsiiSerializable
- Enclosing interface:
CfnNotebookInstanceProps
CfnNotebookInstanceProps
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Nested Class Summary
Nested classes/interfaces inherited from class software.amazon.jsii.JsiiObject
software.amazon.jsii.JsiiObject.InitializationMode
Nested classes/interfaces inherited from interface software.amazon.awscdk.services.sagemaker.CfnNotebookInstanceProps
CfnNotebookInstanceProps.Builder, CfnNotebookInstanceProps.Jsii$Proxy
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Constructor Summary
ModifierConstructorDescriptionprotected
Constructor that initializes the object based on literal property values passed by theCfnNotebookInstanceProps.Builder
.protected
Jsii$Proxy
(software.amazon.jsii.JsiiObjectRef objRef) Constructor that initializes the object based on values retrieved from the JsiiObject. -
Method Summary
Modifier and TypeMethodDescriptioncom.fasterxml.jackson.databind.JsonNode
final boolean
A list of Amazon Elastic Inference (EI) instance types to associate with the notebook instance.An array of up to three Git repositories associated with the notebook instance.final String
The Git repository associated with the notebook instance as its default code repository.final String
Sets whether SageMaker AI provides internet access to the notebook instance.final Object
Information on the IMDS configuration of the notebook instance.final String
The type of ML compute instance to launch for the notebook instance.final String
The Amazon Resource Name (ARN) of a AWS Key Management Service key that SageMaker AI uses to encrypt data on the storage volume attached to your notebook instance.final String
The name of a lifecycle configuration to associate with the notebook instance.final String
The name of the new notebook instance.final String
The platform identifier of the notebook instance runtime environment.final String
When you send any requests to AWS resources from the notebook instance, SageMaker AI assumes this role to perform tasks on your behalf.final String
Whether root access is enabled or disabled for users of the notebook instance.The VPC security group IDs, in the form sg-xxxxxxxx.final String
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.getTags()
A list of key-value pairs to apply to this resource.final Number
The size, in GB, of the ML storage volume to attach to the notebook instance.final int
hashCode()
Methods inherited from class software.amazon.jsii.JsiiObject
jsiiAsyncCall, jsiiAsyncCall, jsiiCall, jsiiCall, jsiiGet, jsiiGet, jsiiSet, jsiiStaticCall, jsiiStaticCall, jsiiStaticGet, jsiiStaticGet, jsiiStaticSet, jsiiStaticSet
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Constructor Details
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Jsii$Proxy
protected Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef) Constructor that initializes the object based on values retrieved from the JsiiObject.- Parameters:
objRef
- Reference to the JSII managed object.
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Jsii$Proxy
Constructor that initializes the object based on literal property values passed by theCfnNotebookInstanceProps.Builder
.
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Method Details
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getInstanceType
Description copied from interface:CfnNotebookInstanceProps
The type of ML compute instance to launch for the notebook instance.Expect some interruption of service if this parameter is changed as CloudFormation stops a notebook instance and starts it up again to update it.
- Specified by:
getInstanceType
in interfaceCfnNotebookInstanceProps
- See Also:
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getRoleArn
Description copied from interface:CfnNotebookInstanceProps
When you send any requests to AWS resources from the notebook instance, SageMaker AI assumes this role to perform tasks on your behalf.You must grant this role necessary permissions so SageMaker AI can perform these tasks. The policy must allow the SageMaker AI service principal (sagemaker.amazonaws.com) permissions to assume this role. 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.- Specified by:
getRoleArn
in interfaceCfnNotebookInstanceProps
- See Also:
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getAcceleratorTypes
Description copied from interface:CfnNotebookInstanceProps
A list of Amazon Elastic Inference (EI) instance types to associate with the notebook instance.Currently, only one instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker .
Valid Values:
ml.eia1.medium | ml.eia1.large | ml.eia1.xlarge | ml.eia2.medium | ml.eia2.large | ml.eia2.xlarge
.- Specified by:
getAcceleratorTypes
in interfaceCfnNotebookInstanceProps
- See Also:
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getAdditionalCodeRepositories
Description copied from interface:CfnNotebookInstanceProps
An array of up to three Git repositories associated 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 SageMaker AI Notebook Instances .
- Specified by:
getAdditionalCodeRepositories
in interfaceCfnNotebookInstanceProps
- See Also:
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getDefaultCodeRepository
Description copied from interface:CfnNotebookInstanceProps
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. 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 .
- Specified by:
getDefaultCodeRepository
in interfaceCfnNotebookInstanceProps
- See Also:
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getDirectInternetAccess
Description copied from interface:CfnNotebookInstanceProps
Sets whether SageMaker AI provides internet access to the notebook instance.If you set this to
Disabled
this notebook instance is able to access resources only in your VPC, and is not be able to connect to SageMaker AI training and endpoint services unless you configure a NAT Gateway in your VPC.For more information, see Notebook Instances Are Internet-Enabled by Default . You can set the value of this parameter to
Disabled
only if you set a value for theSubnetId
parameter.- Specified by:
getDirectInternetAccess
in interfaceCfnNotebookInstanceProps
- See Also:
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getInstanceMetadataServiceConfiguration
Description copied from interface:CfnNotebookInstanceProps
Information on the IMDS configuration of the notebook instance.- Specified by:
getInstanceMetadataServiceConfiguration
in interfaceCfnNotebookInstanceProps
- See Also:
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getKmsKeyId
Description copied from interface:CfnNotebookInstanceProps
The Amazon Resource Name (ARN) of a AWS Key Management Service key that SageMaker AI uses to encrypt data on the storage volume attached to your notebook instance.The KMS key you provide must be enabled. For information, see Enabling and Disabling Keys in the AWS Key Management Service Developer Guide .
- Specified by:
getKmsKeyId
in interfaceCfnNotebookInstanceProps
- See Also:
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getLifecycleConfigName
Description copied from interface:CfnNotebookInstanceProps
The name of a lifecycle configuration to associate with the notebook instance.For information about lifecycle configurations, see Customize a Notebook Instance in the Amazon SageMaker Developer Guide .
- Specified by:
getLifecycleConfigName
in interfaceCfnNotebookInstanceProps
- See Also:
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getNotebookInstanceName
Description copied from interface:CfnNotebookInstanceProps
The name of the new notebook instance.- Specified by:
getNotebookInstanceName
in interfaceCfnNotebookInstanceProps
- See Also:
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getPlatformIdentifier
Description copied from interface:CfnNotebookInstanceProps
The platform identifier of the notebook instance runtime environment.- Specified by:
getPlatformIdentifier
in interfaceCfnNotebookInstanceProps
- See Also:
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getRootAccess
Description copied from interface:CfnNotebookInstanceProps
Whether root access is enabled or disabled for users of the notebook instance. The default value isEnabled
.Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
- Specified by:
getRootAccess
in interfaceCfnNotebookInstanceProps
- See Also:
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getSecurityGroupIds
Description copied from interface:CfnNotebookInstanceProps
The VPC security group IDs, in the form sg-xxxxxxxx.The security groups must be for the same VPC as specified in the subnet.
- Specified by:
getSecurityGroupIds
in interfaceCfnNotebookInstanceProps
- See Also:
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getSubnetId
Description copied from interface:CfnNotebookInstanceProps
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.- Specified by:
getSubnetId
in interfaceCfnNotebookInstanceProps
- See Also:
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getTags
Description copied from interface:CfnNotebookInstanceProps
A list of key-value pairs to apply to this resource.For more information, see Resource Tag and Using Cost Allocation Tags .
You can add tags later by using the
CreateTags
API.- Specified by:
getTags
in interfaceCfnNotebookInstanceProps
- See Also:
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getVolumeSizeInGb
Description copied from interface:CfnNotebookInstanceProps
The size, in GB, of the ML storage volume to attach to the notebook instance.The default value is 5 GB.
Expect some interruption of service if this parameter is changed as CloudFormation stops a notebook instance and starts it up again to update it.
- Specified by:
getVolumeSizeInGb
in interfaceCfnNotebookInstanceProps
- See Also:
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$jsii$toJson
@Internal public com.fasterxml.jackson.databind.JsonNode $jsii$toJson()- Specified by:
$jsii$toJson
in interfacesoftware.amazon.jsii.JsiiSerializable
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equals
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hashCode
public final int hashCode()
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