Uses of Class
com.amazonaws.services.sagemaker.model.CreateMlflowTrackingServerRequest

Packages that use CreateMlflowTrackingServerRequest

Package	Description
com.amazonaws.services.sagemaker	Provides APIs for creating and managing SageMaker resources.
com.amazonaws.services.sagemaker.model

Uses of CreateMlflowTrackingServerRequest in com.amazonaws.services.sagemaker

Methods in com.amazonaws.services.sagemaker with parameters of type CreateMlflowTrackingServerRequest

Modifier and Type	Method and Description
CreateMlflowTrackingServerResult	AmazonSageMakerClient.createMlflowTrackingServer(CreateMlflowTrackingServerRequest request) Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.
CreateMlflowTrackingServerResult	AbstractAmazonSageMaker.createMlflowTrackingServer(CreateMlflowTrackingServerRequest request)
CreateMlflowTrackingServerResult	AmazonSageMaker.createMlflowTrackingServer(CreateMlflowTrackingServerRequest createMlflowTrackingServerRequest) Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.
Future<CreateMlflowTrackingServerResult>	AmazonSageMakerAsyncClient.createMlflowTrackingServerAsync(CreateMlflowTrackingServerRequest request)
Future<CreateMlflowTrackingServerResult>	AbstractAmazonSageMakerAsync.createMlflowTrackingServerAsync(CreateMlflowTrackingServerRequest request)
Future<CreateMlflowTrackingServerResult>	AmazonSageMakerAsync.createMlflowTrackingServerAsync(CreateMlflowTrackingServerRequest createMlflowTrackingServerRequest) Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.
Future<CreateMlflowTrackingServerResult>	AmazonSageMakerAsyncClient.createMlflowTrackingServerAsync(CreateMlflowTrackingServerRequest request, AsyncHandler<CreateMlflowTrackingServerRequest,CreateMlflowTrackingServerResult> asyncHandler)
Future<CreateMlflowTrackingServerResult>	AbstractAmazonSageMakerAsync.createMlflowTrackingServerAsync(CreateMlflowTrackingServerRequest request, AsyncHandler<CreateMlflowTrackingServerRequest,CreateMlflowTrackingServerResult> asyncHandler)
Future<CreateMlflowTrackingServerResult>	AmazonSageMakerAsync.createMlflowTrackingServerAsync(CreateMlflowTrackingServerRequest createMlflowTrackingServerRequest, AsyncHandler<CreateMlflowTrackingServerRequest,CreateMlflowTrackingServerResult> asyncHandler) Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.

Method parameters in com.amazonaws.services.sagemaker with type arguments of type CreateMlflowTrackingServerRequest

Modifier and Type	Method and Description
Future<CreateMlflowTrackingServerResult>	AmazonSageMakerAsyncClient.createMlflowTrackingServerAsync(CreateMlflowTrackingServerRequest request, AsyncHandler<CreateMlflowTrackingServerRequest,CreateMlflowTrackingServerResult> asyncHandler)
Future<CreateMlflowTrackingServerResult>	AbstractAmazonSageMakerAsync.createMlflowTrackingServerAsync(CreateMlflowTrackingServerRequest request, AsyncHandler<CreateMlflowTrackingServerRequest,CreateMlflowTrackingServerResult> asyncHandler)
Future<CreateMlflowTrackingServerResult>	AmazonSageMakerAsync.createMlflowTrackingServerAsync(CreateMlflowTrackingServerRequest createMlflowTrackingServerRequest, AsyncHandler<CreateMlflowTrackingServerRequest,CreateMlflowTrackingServerResult> asyncHandler) Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.

Uses of CreateMlflowTrackingServerRequest in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return CreateMlflowTrackingServerRequest

Modifier and Type	Method and Description
CreateMlflowTrackingServerRequest	CreateMlflowTrackingServerRequest.clone()
CreateMlflowTrackingServerRequest	CreateMlflowTrackingServerRequest.withArtifactStoreUri(String artifactStoreUri) The S3 URI for a general purpose bucket to use as the MLflow Tracking Server artifact store.
CreateMlflowTrackingServerRequest	CreateMlflowTrackingServerRequest.withAutomaticModelRegistration(Boolean automaticModelRegistration) Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
CreateMlflowTrackingServerRequest	CreateMlflowTrackingServerRequest.withMlflowVersion(String mlflowVersion) The version of MLflow that the tracking server uses.
CreateMlflowTrackingServerRequest	CreateMlflowTrackingServerRequest.withRoleArn(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.
CreateMlflowTrackingServerRequest	CreateMlflowTrackingServerRequest.withTags(Collection<Tag> tags) Tags consisting of key-value pairs used to manage metadata for the tracking server.
CreateMlflowTrackingServerRequest	CreateMlflowTrackingServerRequest.withTags(Tag... tags) Tags consisting of key-value pairs used to manage metadata for the tracking server.
CreateMlflowTrackingServerRequest	CreateMlflowTrackingServerRequest.withTrackingServerName(String trackingServerName) A unique string identifying the tracking server name.
CreateMlflowTrackingServerRequest	CreateMlflowTrackingServerRequest.withTrackingServerSize(String trackingServerSize) The size of the tracking server you want to create.
CreateMlflowTrackingServerRequest	CreateMlflowTrackingServerRequest.withTrackingServerSize(TrackingServerSize trackingServerSize) The size of the tracking server you want to create.
CreateMlflowTrackingServerRequest	CreateMlflowTrackingServerRequest.withWeeklyMaintenanceWindowStart(String weeklyMaintenanceWindowStart) The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled.