Paws::SageMaker::UpdateNotebookInstance - Arguments for method UpdateNotebookInstance on Paws::SageMaker
This class represents the parameters used for calling the method UpdateNotebookInstance on the Amazon SageMaker Service service. Use the attributes of this class as arguments to method UpdateNotebookInstance.
You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to UpdateNotebookInstance.
my $api.sagemaker = Paws->service('SageMaker'); my $UpdateNotebookInstanceOutput = $api . sagemaker->UpdateNotebookInstance( NotebookInstanceName => 'MyNotebookInstanceName', AcceleratorTypes => [ 'ml.eia1.medium', ... # values: ml.eia1.medium, ml.eia1.large, ml.eia1.xlarge, ml.eia2.medium, ml.eia2.large, ml.eia2.xlarge ], # OPTIONAL AdditionalCodeRepositories => [ 'MyCodeRepositoryNameOrUrl', ... # min: 1, max: 1024 ], # OPTIONAL DefaultCodeRepository => 'MyCodeRepositoryNameOrUrl', # OPTIONAL DisassociateAcceleratorTypes => 1, # OPTIONAL DisassociateAdditionalCodeRepositories => 1, # OPTIONAL DisassociateDefaultCodeRepository => 1, # OPTIONAL DisassociateLifecycleConfig => 1, # OPTIONAL InstanceType => 'ml.t2.medium', # OPTIONAL LifecycleConfigName => 'MyNotebookInstanceLifecycleConfigName', # OPTIONAL RoleArn => 'MyRoleArn', # OPTIONAL RootAccess => 'Enabled', # OPTIONAL VolumeSizeInGB => 1, # OPTIONAL );
Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see https://docs.aws.amazon.com/goto/WebAPI/api.sagemaker/UpdateNotebookInstance
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 (https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html).
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 (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html) 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 (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
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 (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html) 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 (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
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.
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.
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.
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.
true
The Amazon ML compute instance type.
Valid values are: "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"
"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"
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 (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html).
The name of the notebook instance to update.
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 (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.
iam:PassRole
Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled.
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.
Disabled
Valid values are: "Enabled", "Disabled"
"Enabled"
"Disabled"
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.
This class forms part of Paws, documenting arguments for method UpdateNotebookInstance in Paws::SageMaker
The source code is located here: https://github.com/pplu/aws-sdk-perl
Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues
To install Paws, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Paws
CPAN shell
perl -MCPAN -e shell install Paws
For more information on module installation, please visit the detailed CPAN module installation guide.