@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 |
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RealtimeEndpointInfo() |
Modifier and Type | Method and Description |
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RealtimeEndpointInfo |
clone() |
boolean |
equals(Object obj) |
Date |
getCreatedAt()
The time that the request to create the real-time endpoint for the
MLModel was 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
MLModel was 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; useful for testing and debugging.
|
RealtimeEndpointInfo |
withCreatedAt(Date createdAt)
The time that the request to create the real-time endpoint for the
MLModel was 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
.
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
.
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
.
The application must wait until the real-time endpoint is ready before using this URI.
MLModel
.
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
.
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
.
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.RealtimeEndpointStatus
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.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.RealtimeEndpointStatus
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.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.RealtimeEndpointStatus
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.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.RealtimeEndpointStatus
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.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.RealtimeEndpointStatus
public String toString()
toString
in class Object
Object.toString()
public RealtimeEndpointInfo clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojo
ProtocolMarshaller
.marshall
in interface StructuredPojo
protocolMarshaller
- Implementation of ProtocolMarshaller
used to marshall this object's data.Copyright © 2013 Amazon Web Services, Inc. All Rights Reserved.