Copyright | (c) 2013-2018 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay <brendan.g.hay+amazonka@gmail.com> |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | None |
Language | Haskell2010 |
Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.
In a CreateNotebookInstance
request, specify the type of ML compute instance that you want to run. Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance.
Amazon SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use Amazon SageMaker with a specific algorithm or with a machine learning framework.
After receiving the request, Amazon SageMaker does the following:
- Creates a network interface in the Amazon SageMaker VPC.
- (Option) If you specified
SubnetId
, Amazon SageMaker creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon SageMaker attaches the security group that you specified in the request to the network interface that it creates in your VPC. - Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified
SubnetId
of your VPC, Amazon SageMaker specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it.
After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN).
After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models.
For more information, see How It Works .
Synopsis
- createNotebookInstance :: Text -> InstanceType -> Text -> CreateNotebookInstance
- data CreateNotebookInstance
- cniSecurityGroupIds :: Lens' CreateNotebookInstance [Text]
- cniLifecycleConfigName :: Lens' CreateNotebookInstance (Maybe Text)
- cniSubnetId :: Lens' CreateNotebookInstance (Maybe Text)
- cniKMSKeyId :: Lens' CreateNotebookInstance (Maybe Text)
- cniDirectInternetAccess :: Lens' CreateNotebookInstance (Maybe DirectInternetAccess)
- cniTags :: Lens' CreateNotebookInstance [Tag]
- cniNotebookInstanceName :: Lens' CreateNotebookInstance Text
- cniInstanceType :: Lens' CreateNotebookInstance InstanceType
- cniRoleARN :: Lens' CreateNotebookInstance Text
- createNotebookInstanceResponse :: Int -> CreateNotebookInstanceResponse
- data CreateNotebookInstanceResponse
- cnirsNotebookInstanceARN :: Lens' CreateNotebookInstanceResponse (Maybe Text)
- cnirsResponseStatus :: Lens' CreateNotebookInstanceResponse Int
Creating a Request
createNotebookInstance Source #
:: Text | |
-> InstanceType | |
-> Text | |
-> CreateNotebookInstance |
Creates a value of CreateNotebookInstance
with the minimum fields required to make a request.
Use one of the following lenses to modify other fields as desired:
cniSecurityGroupIds
- The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.cniLifecycleConfigName
- The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see 'notebook-lifecycle-config' .cniSubnetId
- The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.cniKMSKeyId
- If you provide a AWS KMS key ID, Amazon SageMaker uses it to encrypt data at rest on the ML storage volume that is attached to your notebook instance.cniDirectInternetAccess
- Sets whether Amazon SageMaker provides internet access to the notebook instance. If you set this toDisabled
this notebook instance will be able to access resources only in your VPC, and will not be able to connect to Amazon SageMaker training and endpoint services unless your configure a NAT Gateway in your VPC. For more information, see 'appendix-notebook-and-internet-access' . You can set the value of this parameter toDisabled
only if you set a value for theSubnetId
parameter.cniTags
- A list of tags to associate with the notebook instance. You can add tags later by using theCreateTags
API.cniNotebookInstanceName
- The name of the new notebook instance.cniInstanceType
- The type of ML compute instance to launch for the notebook instance.cniRoleARN
- When you send any requests to AWS 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 .
data CreateNotebookInstance Source #
See: createNotebookInstance
smart constructor.
Instances
Request Lenses
cniSecurityGroupIds :: Lens' CreateNotebookInstance [Text] Source #
The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
cniLifecycleConfigName :: Lens' CreateNotebookInstance (Maybe Text) Source #
The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see 'notebook-lifecycle-config' .
cniSubnetId :: Lens' CreateNotebookInstance (Maybe Text) Source #
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
cniKMSKeyId :: Lens' CreateNotebookInstance (Maybe Text) Source #
If you provide a AWS KMS key ID, Amazon SageMaker uses it to encrypt data at rest on the ML storage volume that is attached to your notebook instance.
cniDirectInternetAccess :: Lens' CreateNotebookInstance (Maybe DirectInternetAccess) Source #
Sets whether Amazon SageMaker provides internet access to the notebook instance. If you set this to Disabled
this notebook instance will be able to access resources only in your VPC, and will not be able to connect to Amazon SageMaker training and endpoint services unless your configure a NAT Gateway in your VPC. For more information, see '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.
cniTags :: Lens' CreateNotebookInstance [Tag] Source #
A list of tags to associate with the notebook instance. You can add tags later by using the CreateTags
API.
cniNotebookInstanceName :: Lens' CreateNotebookInstance Text Source #
The name of the new notebook instance.
cniInstanceType :: Lens' CreateNotebookInstance InstanceType Source #
The type of ML compute instance to launch for the notebook instance.
cniRoleARN :: Lens' CreateNotebookInstance Text Source #
When you send any requests to AWS 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 .
Destructuring the Response
createNotebookInstanceResponse Source #
Creates a value of CreateNotebookInstanceResponse
with the minimum fields required to make a request.
Use one of the following lenses to modify other fields as desired:
cnirsNotebookInstanceARN
- The Amazon Resource Name (ARN) of the notebook instance.cnirsResponseStatus
- -- | The response status code.
data CreateNotebookInstanceResponse Source #
See: createNotebookInstanceResponse
smart constructor.
Instances
Response Lenses
cnirsNotebookInstanceARN :: Lens' CreateNotebookInstanceResponse (Maybe Text) Source #
The Amazon Resource Name (ARN) of the notebook instance.
cnirsResponseStatus :: Lens' CreateNotebookInstanceResponse Int Source #
- - | The response status code.