Package software.amazon.awssdk.services.sagemaker.model

Interface CreateMlflowTrackingServerRequest.Builder

All Superinterfaces:
AwsRequest.Builder, Buildable, CopyableBuilder<CreateMlflowTrackingServerRequest.Builder,CreateMlflowTrackingServerRequest>, SageMakerRequest.Builder, SdkBuilder<CreateMlflowTrackingServerRequest.Builder,CreateMlflowTrackingServerRequest>, SdkPojo, SdkRequest.Builder
Enclosing class:
CreateMlflowTrackingServerRequest
public static interface CreateMlflowTrackingServerRequest.Builder extends SageMakerRequest.Builder, SdkPojo, CopyableBuilder<CreateMlflowTrackingServerRequest.Builder,CreateMlflowTrackingServerRequest>

  • Method Details

    • trackingServerName

      CreateMlflowTrackingServerRequest.Builder trackingServerName(String trackingServerName)

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

      Parameters:
      trackingServerName - A unique string identifying the tracking server name. This string is part of the tracking server ARN.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • artifactStoreUri

      CreateMlflowTrackingServerRequest.Builder artifactStoreUri(String artifactStoreUri)

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

      Parameters:
      artifactStoreUri - The S3 URI for a general purpose bucket to use as the MLflow Tracking Server artifact store.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • trackingServerSize

      CreateMlflowTrackingServerRequest.Builder trackingServerSize(String trackingServerSize)

      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.

      Parameters:
      trackingServerSize - 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:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • trackingServerSize

      CreateMlflowTrackingServerRequest.Builder trackingServerSize(TrackingServerSize trackingServerSize)

      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.

      Parameters:
      trackingServerSize - 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:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • mlflowVersion

      CreateMlflowTrackingServerRequest.Builder mlflowVersion(String mlflowVersion)

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

      Parameters:
      mlflowVersion - The version of MLflow that the tracking server uses. To see which MLflow versions are available to use, see How it works.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • roleArn

      CreateMlflowTrackingServerRequest.Builder roleArn(String roleArn)

      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.

      Parameters:
      roleArn - 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.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • automaticModelRegistration

      CreateMlflowTrackingServerRequest.Builder automaticModelRegistration(Boolean automaticModelRegistration)

      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.

      Parameters:
      automaticModelRegistration - 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:
      Returns a reference to this object so that method calls can be chained together.

    • weeklyMaintenanceWindowStart

      CreateMlflowTrackingServerRequest.Builder weeklyMaintenanceWindowStart(String weeklyMaintenanceWindowStart)

      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.

      Parameters:
      weeklyMaintenanceWindowStart - 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:
      Returns a reference to this object so that method calls can be chained together.

    • tags

      CreateMlflowTrackingServerRequest.Builder tags(Collection<Tag> tags)

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

      Parameters:
      tags - Tags consisting of key-value pairs used to manage metadata for the tracking server.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • tags

      CreateMlflowTrackingServerRequest.Builder tags(Tag... tags)

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

      Parameters:
      tags - Tags consisting of key-value pairs used to manage metadata for the tracking server.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • tags

      CreateMlflowTrackingServerRequest.Builder tags(Consumer<Tag.Builder>... tags)

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

      This is a convenience method that creates an instance of the Tag.Builder avoiding the need to create one manually via Tag.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to tags(List<Tag>).

      Parameters:
      tags - a consumer that will call methods on Tag.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • overrideConfiguration

      CreateMlflowTrackingServerRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      overrideConfiguration - The override configuration.
      Returns:
      This object for method chaining.

    • overrideConfiguration

      CreateMlflowTrackingServerRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      builderConsumer - A Consumer to which an empty AwsRequestOverrideConfiguration.Builder will be given.
      Returns:
      This object for method chaining.