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Class: Aws::SageMaker::Types::NotebookInstanceSummary

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Provides summary information for an Amazon SageMaker notebook instance.

Instance Attribute Summary collapse

Instance Attribute Details

#additional_code_repositoriesArray<String>

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 Amazon SageMaker Notebook Instances.

Returns:

  • (Array<String>)

    An array of up to three Git repositories associated with the notebook instance.

#creation_timeTime

A timestamp that shows when the notebook instance was created.

Returns:

  • (Time)

    A timestamp that shows when the notebook instance was created.

#default_code_repositoryString

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 Amazon SageMaker Notebook Instances.

Returns:

  • (String)

    The Git repository associated with the notebook instance as its default code repository.

#instance_typeString

The type of ML compute instance that the notebook instance is running on.

Possible values:

  • 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

Returns:

  • (String)

    The type of ML compute instance that the notebook instance is running on.

#last_modified_timeTime

A timestamp that shows when the notebook instance was last modified.

Returns:

  • (Time)

    A timestamp that shows when the notebook instance was last modified.

#notebook_instance_arnString

The Amazon Resource Name (ARN) of the notebook instance.

Returns:

  • (String)

    The Amazon Resource Name (ARN) of the notebook instance.

#notebook_instance_lifecycle_config_nameString

The name of a notebook instance lifecycle configuration associated with this notebook instance.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

Returns:

  • (String)

    The name of a notebook instance lifecycle configuration associated with this notebook instance.

#notebook_instance_nameString

The name of the notebook instance that you want a summary for.

Returns:

  • (String)

    The name of the notebook instance that you want a summary for.

#notebook_instance_statusString

The status of the notebook instance.

Possible values:

  • Pending
  • InService
  • Stopping
  • Stopped
  • Failed
  • Deleting
  • Updating

Returns:

  • (String)

    The status of the notebook instance.

#urlString

The URL that you use to connect to the Jupyter instance running in your notebook instance.

Returns:

  • (String)

    The URL that you use to connect to the Jupyter instance running in your notebook instance.