@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class RealtimeEndpointInfo extends Object implements Serializable, Cloneable, StructuredPojo
 Describes the real-time endpoint information for an MLModel.
 
| Constructor and Description | 
|---|
| RealtimeEndpointInfo() | 
| Modifier and Type | Method and Description | 
|---|---|
| RealtimeEndpointInfo | clone() | 
| boolean | equals(Object obj) | 
| Date | getCreatedAt()
 The time that the request to create the real-time endpoint for the  MLModelwas received. | 
| String | getEndpointStatus()
 The current status of the real-time endpoint for the  MLModel. | 
| String | getEndpointUrl()
 The URI that specifies where to send real-time prediction requests for the  MLModel. | 
| Integer | getPeakRequestsPerSecond()
 The maximum processing rate for the real-time endpoint for  MLModel, measured in incoming requests
 per second. | 
| int | hashCode() | 
| void | marshall(ProtocolMarshaller protocolMarshaller)Marshalls this structured data using the given  ProtocolMarshaller. | 
| void | setCreatedAt(Date createdAt)
 The time that the request to create the real-time endpoint for the  MLModelwas received. | 
| void | setEndpointStatus(RealtimeEndpointStatus endpointStatus)
 The current status of the real-time endpoint for the  MLModel. | 
| void | setEndpointStatus(String endpointStatus)
 The current status of the real-time endpoint for the  MLModel. | 
| void | setEndpointUrl(String endpointUrl)
 The URI that specifies where to send real-time prediction requests for the  MLModel. | 
| void | setPeakRequestsPerSecond(Integer peakRequestsPerSecond)
 The maximum processing rate for the real-time endpoint for  MLModel, measured in incoming requests
 per second. | 
| String | toString()Returns a string representation of this object. | 
| RealtimeEndpointInfo | withCreatedAt(Date createdAt)
 The time that the request to create the real-time endpoint for the  MLModelwas received. | 
| RealtimeEndpointInfo | withEndpointStatus(RealtimeEndpointStatus endpointStatus)
 The current status of the real-time endpoint for the  MLModel. | 
| RealtimeEndpointInfo | withEndpointStatus(String endpointStatus)
 The current status of the real-time endpoint for the  MLModel. | 
| RealtimeEndpointInfo | withEndpointUrl(String endpointUrl)
 The URI that specifies where to send real-time prediction requests for the  MLModel. | 
| RealtimeEndpointInfo | withPeakRequestsPerSecond(Integer peakRequestsPerSecond)
 The maximum processing rate for the real-time endpoint for  MLModel, measured in incoming requests
 per second. | 
public void setPeakRequestsPerSecond(Integer peakRequestsPerSecond)
 The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests
 per second.
 
peakRequestsPerSecond - The maximum processing rate for the real-time endpoint for MLModel, measured in incoming
        requests per second.public Integer getPeakRequestsPerSecond()
 The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests
 per second.
 
MLModel, measured in incoming
         requests per second.public RealtimeEndpointInfo withPeakRequestsPerSecond(Integer peakRequestsPerSecond)
 The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests
 per second.
 
peakRequestsPerSecond - The maximum processing rate for the real-time endpoint for MLModel, measured in incoming
        requests per second.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.
 
createdAt - The time that the request to create the real-time endpoint for the MLModel was received. The
        time is expressed in epoch time.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.
 
MLModel was received. The
         time is expressed in epoch time.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.
 
createdAt - The time that the request to create the real-time endpoint for the MLModel was received. The
        time is expressed in epoch time.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.
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.
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.
MLModel.
         Note: The application must wait until the real-time endpoint is ready before using this URI.
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.
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.
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.
 
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.
        
RealtimeEndpointStatuspublic 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.
 
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.
         
RealtimeEndpointStatuspublic 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.
 
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.
        
RealtimeEndpointStatuspublic 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.
 
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.
        
RealtimeEndpointStatuspublic 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.
 
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.
        
RealtimeEndpointStatuspublic String toString()
toString in class ObjectObject.toString()public RealtimeEndpointInfo clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojoProtocolMarshaller.marshall in interface StructuredPojoprotocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.