Package software.amazon.awssdk.services.machinelearning.model

Interface RealtimeEndpointInfo.Builder

All Superinterfaces:

CopyableBuilder<RealtimeEndpointInfo.Builder,RealtimeEndpointInfo>, SdkBuilder<RealtimeEndpointInfo.Builder,RealtimeEndpointInfo>

Enclosing class:

RealtimeEndpointInfo

public static interface RealtimeEndpointInfo.Builder
extends CopyableBuilder<RealtimeEndpointInfo.Builder,RealtimeEndpointInfo>

Method Summary

Modifier and Type	Method	Description
RealtimeEndpointInfo.Builder	createdAt(Date createdAt)	The time that the request to create the real-time endpoint for the MLModel was received.
RealtimeEndpointInfo.Builder	endpointStatus(String endpointStatus)	The current status of the real-time endpoint for the MLModel.
RealtimeEndpointInfo.Builder	endpointStatus(RealtimeEndpointStatus endpointStatus)	The current status of the real-time endpoint for the MLModel.
RealtimeEndpointInfo.Builder	endpointUrl(String endpointUrl)	The URI that specifies where to send real-time prediction requests for the MLModel.
RealtimeEndpointInfo.Builder	peakRequestsPerSecond(Integer peakRequestsPerSecond)	The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

apply, build

Method Detail

peakRequestsPerSecond

RealtimeEndpointInfo.Builder peakRequestsPerSecond(Integer peakRequestsPerSecond)

The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.

Parameters:

peakRequestsPerSecond - The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.

Returns:

Returns a reference to this object so that method calls can be chained together.

createdAt

RealtimeEndpointInfo.Builder createdAt(Date createdAt)

The time that the request to create the real-time endpoint for the MLModel was received. The time is expressed in epoch time.

Parameters:

createdAt - The time that the request to create the real-time endpoint for the MLModel was received. The time is expressed in epoch time.

Returns:

Returns a reference to this object so that method calls can be chained together.

endpointUrl

RealtimeEndpointInfo.Builder endpointUrl(String endpointUrl)

The URI that specifies where to send real-time prediction requests for the MLModel.

The application must wait until the real-time endpoint is ready before using this URI.

Parameters:

endpointUrl - The URI that specifies where to send real-time prediction requests for the MLModel.

The application must wait until the real-time endpoint is ready before using this URI.

Returns:

Returns a reference to this object so that method calls can be chained together.

endpointStatus

RealtimeEndpointInfo.Builder endpointStatus(String endpointStatus)

The current status of the real-time endpoint for the MLModel. This element can have one of the following values:

• NONE - Endpoint does not exist or was previously deleted.
• READY - Endpoint is ready to be used for real-time predictions.
• UPDATING - Updating/creating the endpoint.

Parameters:

endpointStatus - The current status of the real-time endpoint for the MLModel. This element can have one of the following values:

• NONE - Endpoint does not exist or was previously deleted.
• READY - Endpoint is ready to be used for real-time predictions.
• UPDATING - Updating/creating the endpoint.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

RealtimeEndpointStatus

endpointStatus

RealtimeEndpointInfo.Builder endpointStatus(RealtimeEndpointStatus endpointStatus)

The current status of the real-time endpoint for the MLModel. This element can have one of the following values:

• NONE - Endpoint does not exist or was previously deleted.
• READY - Endpoint is ready to be used for real-time predictions.
• UPDATING - Updating/creating the endpoint.

Parameters:

endpointStatus - The current status of the real-time endpoint for the MLModel. This element can have one of the following values:

• NONE - Endpoint does not exist or was previously deleted.
• READY - Endpoint is ready to be used for real-time predictions.
• UPDATING - Updating/creating the endpoint.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

RealtimeEndpointStatus