Class: Aws::SageMaker::Types::CreateMlflowTrackingServerRequest

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::CreateMlflowTrackingServerRequest

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #artifact_store_uri ⇒ String

  The S3 URI for a general purpose bucket to use as the MLflow Tracking Server artifact store.

• #automatic_model_registration ⇒ Boolean

  Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.

• #mlflow_version ⇒ String

  The version of MLflow that the tracking server uses.

• #role_arn ⇒ String

  The Amazon Resource Name (ARN) for an IAM role in your account that the MLflow Tracking Server uses to access the artifact store in Amazon S3.

• #tags ⇒ Array<Types::Tag>

  Tags consisting of key-value pairs used to manage metadata for the tracking server.

• #tracking_server_name ⇒ String

  A unique string identifying the tracking server name.

• #tracking_server_size ⇒ String

  The size of the tracking server you want to create.

• #weekly_maintenance_window_start ⇒ String

  The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled.

Instance Attribute Details

#artifact_store_uri ⇒ String

The S3 URI for a general purpose bucket to use as the MLflow Tracking Server artifact store.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10561

class CreateMlflowTrackingServerRequest < Struct.new(
  :tracking_server_name,
  :artifact_store_uri,
  :tracking_server_size,
  :mlflow_version,
  :role_arn,
  :automatic_model_registration,
  :weekly_maintenance_window_start,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#automatic_model_registration ⇒ Boolean

Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to ‘True`. To disable automatic model registration, set this value to `False`. If not specified, `AutomaticModelRegistration` defaults to `False`.

Returns:

• (Boolean)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10561

class CreateMlflowTrackingServerRequest < Struct.new(
  :tracking_server_name,
  :artifact_store_uri,
  :tracking_server_size,
  :mlflow_version,
  :role_arn,
  :automatic_model_registration,
  :weekly_maintenance_window_start,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#mlflow_version ⇒ String

The version of MLflow that the tracking server uses. To see which MLflow versions are available to use, see [How it works].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/mlflow.html#mlflow-create-tracking-server-how-it-works

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10561

class CreateMlflowTrackingServerRequest < Struct.new(
  :tracking_server_name,
  :artifact_store_uri,
  :tracking_server_size,
  :mlflow_version,
  :role_arn,
  :automatic_model_registration,
  :weekly_maintenance_window_start,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#role_arn ⇒ String

The Amazon Resource Name (ARN) for an IAM role in your account that the MLflow Tracking Server uses to access the artifact store in Amazon S3. The role should have ‘AmazonS3FullAccess` permissions. For more information on IAM permissions for tracking server creation, see [Set up IAM permissions for MLflow].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/mlflow-create-tracking-server-iam.html

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10561

class CreateMlflowTrackingServerRequest < Struct.new(
  :tracking_server_name,
  :artifact_store_uri,
  :tracking_server_size,
  :mlflow_version,
  :role_arn,
  :automatic_model_registration,
  :weekly_maintenance_window_start,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tags ⇒ Array<Types::Tag>

Tags consisting of key-value pairs used to manage metadata for the tracking server.

Returns:

• (Array<Types::Tag>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10561

class CreateMlflowTrackingServerRequest < Struct.new(
  :tracking_server_name,
  :artifact_store_uri,
  :tracking_server_size,
  :mlflow_version,
  :role_arn,
  :automatic_model_registration,
  :weekly_maintenance_window_start,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tracking_server_name ⇒ String

A unique string identifying the tracking server name. This string is part of the tracking server ARN.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10561

class CreateMlflowTrackingServerRequest < Struct.new(
  :tracking_server_name,
  :artifact_store_uri,
  :tracking_server_size,
  :mlflow_version,
  :role_arn,
  :automatic_model_registration,
  :weekly_maintenance_window_start,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tracking_server_size ⇒ String

The size of the tracking server you want to create. You can choose between ‘“Small”`, `“Medium”`, and `“Large”`. The default MLflow Tracking Server configuration size is `“Small”`. You can choose a size depending on the projected use of the tracking server such as the volume of data logged, number of users, and frequency of use.

We recommend using a small tracking server for teams of up to 25 users, a medium tracking server for teams of up to 50 users, and a large tracking server for teams of up to 100 users.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10561

class CreateMlflowTrackingServerRequest < Struct.new(
  :tracking_server_name,
  :artifact_store_uri,
  :tracking_server_size,
  :mlflow_version,
  :role_arn,
  :automatic_model_registration,
  :weekly_maintenance_window_start,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#weekly_maintenance_window_start ⇒ String

The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: TUE:03:30.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10561

class CreateMlflowTrackingServerRequest < Struct.new(
  :tracking_server_name,
  :artifact_store_uri,
  :tracking_server_size,
  :mlflow_version,
  :role_arn,
  :automatic_model_registration,
  :weekly_maintenance_window_start,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end