com.amazonaws.services.machinelearning.model

Class RealtimeEndpointInfo

java.lang.Object

com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

All Implemented Interfaces:

Serializable

public class RealtimeEndpointInfo
extends Object
implements Serializable

Describes the realtime endpoint information for a MLModel .

Provides results to the DescribeMLModel operation in Normal format, and the ListMLModels operation.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RealtimeEndpointInfo()

Method Summary

Methods

Modifier and Type	Method and Description
boolean	equals(Object obj)
Date	getCreatedAt() The time that the request to create the realtime endpoint for the MLModel was received.
String	getEndpointStatus() The current status of realtime endpoint for MLModel.
String	getEndpointUrl() URI that specifies where to send realtime prediction requests for the MLModel.
Integer	getPeakRequestsPerSecond() Maximum processing rate for the realtime endpoint for MLModel, measured in incoming requests per second.
int	hashCode()
void	setCreatedAt(Date createdAt) The time that the request to create the realtime endpoint for the MLModel was received.
void	setEndpointStatus(RealtimeEndpointStatus endpointStatus) The current status of realtime endpoint for MLModel.
void	setEndpointStatus(String endpointStatus) The current status of realtime endpoint for MLModel.
void	setEndpointUrl(String endpointUrl) URI that specifies where to send realtime prediction requests for the MLModel.
void	setPeakRequestsPerSecond(Integer peakRequestsPerSecond) Maximum processing rate for the realtime 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 realtime endpoint for the MLModel was received.
RealtimeEndpointInfo	withEndpointStatus(RealtimeEndpointStatus endpointStatus) The current status of realtime endpoint for MLModel.
RealtimeEndpointInfo	withEndpointStatus(String endpointStatus) The current status of realtime endpoint for MLModel.
RealtimeEndpointInfo	withEndpointUrl(String endpointUrl) URI that specifies where to send realtime prediction requests for the MLModel.
RealtimeEndpointInfo	withPeakRequestsPerSecond(Integer peakRequestsPerSecond) Maximum processing rate for the realtime endpoint for MLModel, measured in incoming requests per second.

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

RealtimeEndpointInfo

public RealtimeEndpointInfo()

Method Detail

getPeakRequestsPerSecond

public Integer getPeakRequestsPerSecond()

Maximum processing rate for the realtime endpoint for MLModel, measured in incoming requests per second.

Returns:

Maximum processing rate for the realtime endpoint for MLModel, measured in incoming requests per second.

setPeakRequestsPerSecond

public void setPeakRequestsPerSecond(Integer peakRequestsPerSecond)

Maximum processing rate for the realtime endpoint for MLModel, measured in incoming requests per second.

Parameters:

peakRequestsPerSecond - Maximum processing rate for the realtime endpoint for MLModel, measured in incoming requests per second.

withPeakRequestsPerSecond

public RealtimeEndpointInfo withPeakRequestsPerSecond(Integer peakRequestsPerSecond)

Maximum processing rate for the realtime endpoint for MLModel, measured in incoming requests per second.

Returns a reference to this object so that method calls can be chained together.

Parameters:

peakRequestsPerSecond - Maximum processing rate for the realtime endpoint for MLModel, measured in incoming requests per second.

Returns:

A reference to this updated object so that method calls can be chained together.

getCreatedAt

public Date getCreatedAt()

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

Returns:

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

setCreatedAt

public void setCreatedAt(Date createdAt)

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

Parameters:

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

Returns a reference to this object so that method calls can be chained together.

Parameters:

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

Returns:

A reference to this updated object so that method calls can be chained together.

getEndpointUrl

public String getEndpointUrl()

URI that specifies where to send realtime prediction requests for the MLModel.

The application must wait until the realtime endpoint is ready before using this URI.

Constraints:
Length: 0 - 2048
Pattern: https://[a-zA-Z0-9-.]*\.amazon(aws)?\.com[/]?

Returns:

URI that specifies where to send realtime prediction requests for the MLModel.

The application must wait until the realtime endpoint is ready before using this URI.

setEndpointUrl

public void setEndpointUrl(String endpointUrl)

URI that specifies where to send realtime prediction requests for the MLModel.

The application must wait until the realtime endpoint is ready before using this URI.

Constraints:
Length: 0 - 2048
Pattern: https://[a-zA-Z0-9-.]*\.amazon(aws)?\.com[/]?

Parameters:

endpointUrl - URI that specifies where to send realtime prediction requests for the MLModel.

The application must wait until the realtime endpoint is ready before using this URI.

withEndpointUrl

public RealtimeEndpointInfo withEndpointUrl(String endpointUrl)

URI that specifies where to send realtime prediction requests for the MLModel.

The application must wait until the realtime endpoint is ready before using this URI.

Returns a reference to this object so that method calls can be chained together.

Constraints:
Length: 0 - 2048
Pattern: https://[a-zA-Z0-9-.]*\.amazon(aws)?\.com[/]?

Parameters:

endpointUrl - URI that specifies where to send realtime prediction requests for the MLModel.

The application must wait until the realtime endpoint is ready before using this URI.

Returns:

A reference to this updated object so that method calls can be chained together.

getEndpointStatus

public String getEndpointStatus()

The current status of realtime endpoint for MLModel. This element can have one of the following values:

• NONE -- Endpoint does not exist or previously deleted
• READY -- Endpoint ready to be used for realtime predictions
• UPDATING -- updating/creating the endpoint for requested rate of incoming requests per second

Constraints:
Allowed Values: NONE, READY, UPDATING, FAILED

Returns:

The current status of realtime endpoint for MLModel. This element can have one of the following values:

• NONE -- Endpoint does not exist or previously deleted
• READY -- Endpoint ready to be used for realtime predictions
• UPDATING -- updating/creating the endpoint for requested rate of incoming requests per second

See Also:

RealtimeEndpointStatus

setEndpointStatus

public void setEndpointStatus(String endpointStatus)

The current status of realtime endpoint for MLModel. This element can have one of the following values:

• NONE -- Endpoint does not exist or previously deleted
• READY -- Endpoint ready to be used for realtime predictions
• UPDATING -- updating/creating the endpoint for requested rate of incoming requests per second

Constraints:
Allowed Values: NONE, READY, UPDATING, FAILED

Parameters:

endpointStatus - The current status of realtime endpoint for MLModel. This element can have one of the following values:

• NONE -- Endpoint does not exist or previously deleted
• READY -- Endpoint ready to be used for realtime predictions
• UPDATING -- updating/creating the endpoint for requested rate of incoming requests per second

See Also:

RealtimeEndpointStatus

withEndpointStatus

public RealtimeEndpointInfo withEndpointStatus(String endpointStatus)

The current status of realtime endpoint for MLModel. This element can have one of the following values:

• NONE -- Endpoint does not exist or previously deleted
• READY -- Endpoint ready to be used for realtime predictions
• UPDATING -- updating/creating the endpoint for requested rate of incoming requests per second

Returns a reference to this object so that method calls can be chained together.

Constraints:
Allowed Values: NONE, READY, UPDATING, FAILED

Parameters:

endpointStatus - The current status of realtime endpoint for MLModel. This element can have one of the following values:

• NONE -- Endpoint does not exist or previously deleted
• READY -- Endpoint ready to be used for realtime predictions
• UPDATING -- updating/creating the endpoint for requested rate of incoming requests per second

Returns:

A reference to this updated object so that method calls can be chained together.

See Also:

RealtimeEndpointStatus

setEndpointStatus

public void setEndpointStatus(RealtimeEndpointStatus endpointStatus)

The current status of realtime endpoint for MLModel. This element can have one of the following values:

• NONE -- Endpoint does not exist or previously deleted
• READY -- Endpoint ready to be used for realtime predictions
• UPDATING -- updating/creating the endpoint for requested rate of incoming requests per second

Constraints:
Allowed Values: NONE, READY, UPDATING, FAILED

Parameters:

endpointStatus - The current status of realtime endpoint for MLModel. This element can have one of the following values:

• NONE -- Endpoint does not exist or previously deleted
• READY -- Endpoint ready to be used for realtime predictions
• UPDATING -- updating/creating the endpoint for requested rate of incoming requests per second

See Also:

RealtimeEndpointStatus

withEndpointStatus

public RealtimeEndpointInfo withEndpointStatus(RealtimeEndpointStatus endpointStatus)

The current status of realtime endpoint for MLModel. This element can have one of the following values:

• NONE -- Endpoint does not exist or previously deleted
• READY -- Endpoint ready to be used for realtime predictions
• UPDATING -- updating/creating the endpoint for requested rate of incoming requests per second

Returns a reference to this object so that method calls can be chained together.

Constraints:
Allowed Values: NONE, READY, UPDATING, FAILED

Parameters:

endpointStatus - The current status of realtime endpoint for MLModel. This element can have one of the following values:

• NONE -- Endpoint does not exist or previously deleted
• READY -- Endpoint ready to be used for realtime predictions
• UPDATING -- updating/creating the endpoint for requested rate of incoming requests per second

Returns:

A reference to this updated 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()

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object