com.amazonaws.services.machinelearning.model

Class RealtimeEndpointInfo

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()

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

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

Constructor Detail

RealtimeEndpointInfo

public RealtimeEndpointInfo()

Method Detail

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.

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.

withPeakRequestsPerSecond

public RealtimeEndpointInfo withPeakRequestsPerSecond(Integer peakRequestsPerSecond)

The maximum processing rate for the real-time 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 - The maximum processing rate for the real-time 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 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.

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.

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.

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

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:

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

getEndpointUrl

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.

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

Returns:

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.

setEndpointUrl

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.

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

Parameters:

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.

withEndpointUrl

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.

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 - 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.

Returns:

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

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.

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

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

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.

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

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(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.

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 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:

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 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.

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

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.

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 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:

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

clone

public RealtimeEndpointInfo clone()

Overrides:

clone in class Object