NAME
Paws::SageMaker::CreateNotebookInstance - Arguments for method CreateNotebookInstance on Paws::SageMaker
DESCRIPTION
This class represents the parameters used for calling the method CreateNotebookInstance on the Amazon SageMaker Service service. Use the attributes of this class as arguments to method CreateNotebookInstance.
You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateNotebookInstance.
SYNOPSIS
my $api.sagemaker = Paws->service('SageMaker');
my $CreateNotebookInstanceOutput = $api . sagemaker->CreateNotebookInstance(
InstanceType => 'ml.t2.medium',
NotebookInstanceName => 'MyNotebookInstanceName',
RoleArn => 'MyRoleArn',
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
DirectInternetAccess => 'Enabled', # OPTIONAL
KmsKeyId => 'MyKmsKeyId', # OPTIONAL
LifecycleConfigName => 'MyNotebookInstanceLifecycleConfigName', # OPTIONAL
RootAccess => 'Enabled', # OPTIONAL
SecurityGroupIds => [
'MySecurityGroupId', ... # max: 32
], # OPTIONAL
SubnetId => 'MySubnetId', # OPTIONAL
Tags => [
{
Key => 'MyTagKey', # min: 1, max: 128
Value => 'MyTagValue', # max: 256
},
...
], # OPTIONAL
VolumeSizeInGB => 1, # OPTIONAL
);
# Results:
my $NotebookInstanceArn =
$CreateNotebookInstanceOutput->NotebookInstanceArn;
# Returns a L<Paws::SageMaker::CreateNotebookInstanceOutput> object.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/CreateNotebookInstance
ATTRIBUTES
AcceleratorTypes => ArrayRef[Str|Undef]
A list of Elastic Inference (EI) instance types to associate with this notebook instance. Currently, only one 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).
AdditionalCodeRepositories => ArrayRef[Str|Undef]
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).
DefaultCodeRepository => Str
A 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).
DirectInternetAccess => Str
Sets whether Amazon SageMaker 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 Amazon SageMaker training and endpoint services unless you configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default (https://docs.aws.amazon.com/sagemaker/latest/dg/appendix-additional-considerations.html#appendix-notebook-and-internet-access). You can set the value of this parameter to Disabled only if you set a value for the SubnetId parameter.
Valid values are: "Enabled", "Disabled"
REQUIRED InstanceType => Str
The type of ML compute instance to launch for the notebook instance.
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"
KmsKeyId => Str
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that Amazon SageMaker 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 (https://docs.aws.amazon.com/kms/latest/developerguide/enabling-keys.html) in the Amazon Web Services Key Management Service Developer Guide.
LifecycleConfigName => Str
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).
REQUIRED NotebookInstanceName => Str
The name of the new notebook instance.
REQUIRED RoleArn => Str
When you send any requests to Amazon Web Services resources from the notebook instance, Amazon SageMaker assumes this role to perform tasks on your behalf. You must grant this role necessary permissions so Amazon SageMaker can perform these tasks. The policy must allow the Amazon SageMaker service principal (sagemaker.amazonaws.com) permissions to assume this role. 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.
RootAccess => Str
Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled.
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.
Valid values are: "Enabled", "Disabled"
SecurityGroupIds => ArrayRef[Str|Undef]
The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
SubnetId => Str
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
Tags => ArrayRef[Paws::SageMaker::Tag]
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources (https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html).
VolumeSizeInGB => Int
The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB.
SEE ALSO
This class forms part of Paws, documenting arguments for method CreateNotebookInstance in Paws::SageMaker
BUGS and CONTRIBUTIONS
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