RealtimeEndpointInfo (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

All Implemented Interfaces:

Serializable, Cloneable
```
public class RealtimeEndpointInfo
extends Object
implements Serializable, Cloneable
```
Describes the real-time endpoint information for an MLModel.

See Also:
Serialized Form

Constructor Summary

Constructors
Constructor and Description

RealtimeEndpointInfo()

Constructors
Constructor and Description
`RealtimeEndpointInfo()`

Method Summary

Methods
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 `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`	`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.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- 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; useful for testing and debugging.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    A string representation of this object.
    See Also:
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public RealtimeEndpointInfo clone()
```
    Overrides:
    
    clone in class Object

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Class RealtimeEndpointInfo

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

RealtimeEndpointInfo

Method Detail

setPeakRequestsPerSecond

getPeakRequestsPerSecond

withPeakRequestsPerSecond

setCreatedAt

getCreatedAt

withCreatedAt

setEndpointUrl

getEndpointUrl

withEndpointUrl

setEndpointStatus

getEndpointStatus

withEndpointStatus

setEndpointStatus

withEndpointStatus

toString

equals

hashCode

clone