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AWS SDK for Java 1.x API Reference - 1.12.795

We announced the upcoming end-of-support for AWS SDK for Java (v1). We recommend that you migrate to AWS SDK for Java v2. For dates, additional details, and information on how to migrate, please refer to the linked announcement.
com.amazonaws.services.machinelearning.model

Class RealtimeEndpointInfo

    • Constructor Detail

      • RealtimeEndpointInfo

        public RealtimeEndpointInfo()
    • Method Detail

      • setPeakRequestsPerSecond

        public void setPeakRequestsPerSecond(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.
      • getPeakRequestsPerSecond

        public Integer getPeakRequestsPerSecond()

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

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

        public RealtimeEndpointInfo withPeakRequestsPerSecond(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.
      • setCreatedAt

        public void setCreatedAt(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.
      • getCreatedAt

        public Date getCreatedAt()

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

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

        public RealtimeEndpointInfo withCreatedAt(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.
      • setEndpointUrl

        public void setEndpointUrl(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.

      • getEndpointUrl

        public String getEndpointUrl()

        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:
        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.

      • withEndpointUrl

        public RealtimeEndpointInfo withEndpointUrl(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.
      • setEndpointStatus

        public void setEndpointStatus(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.

        See Also:
        RealtimeEndpointStatus
      • getEndpointStatus

        public String getEndpointStatus()

        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:
        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.

        See Also:
        RealtimeEndpointStatus
      • withEndpointStatus

        public RealtimeEndpointInfo withEndpointStatus(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
      • setEndpointStatus

        public void setEndpointStatus(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.

        See Also:
        RealtimeEndpointStatus
      • withEndpointStatus

        public RealtimeEndpointInfo withEndpointStatus(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
      • toString

        public String toString()
        Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
        Overrides:
        toString in class Object
        Returns:
        A string representation of this object.
        See Also:
        Object.toString()
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