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

Interface RealtimeEndpointInfo.Builder

    • 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​(Instant 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.

        Note: 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.

        Note: 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, 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, RealtimeEndpointStatus