/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ package com.amazonaws.services.machinelearning.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.protocol.StructuredPojo; import com.amazonaws.protocol.ProtocolMarshaller; /** *
* Describes the real-time endpoint information for an MLModel
.
*
* The maximum processing rate for the real-time endpoint for MLModel
, measured in incoming requests
* per second.
*
* The time that the request to create the real-time endpoint for the MLModel
was received. The time is
* expressed in epoch time.
*
* 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. *
*/ private String endpointUrl; /** *
* 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.
*
* 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 void setPeakRequestsPerSecond(Integer peakRequestsPerSecond) {
this.peakRequestsPerSecond = peakRequestsPerSecond;
}
/**
*
* 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 Integer getPeakRequestsPerSecond() {
return this.peakRequestsPerSecond;
}
/**
*
* The maximum processing rate for the real-time endpoint for MLModel
, measured in incoming requests
* per second.
*
MLModel
, measured in incoming
* requests per second.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RealtimeEndpointInfo withPeakRequestsPerSecond(Integer peakRequestsPerSecond) {
setPeakRequestsPerSecond(peakRequestsPerSecond);
return this;
}
/**
*
* 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 void setCreatedAt(java.util.Date createdAt) {
this.createdAt = createdAt;
}
/**
*
* 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 java.util.Date getCreatedAt() {
return this.createdAt;
}
/**
*
* 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RealtimeEndpointInfo withCreatedAt(java.util.Date createdAt) {
setCreatedAt(createdAt);
return this;
}
/**
*
* 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. *
* * @param endpointUrl * The URI that specifies where to send real-time prediction requests for theMLModel
.
* * Note: The application must wait until the real-time endpoint is ready before using this URI. */ public void setEndpointUrl(String endpointUrl) { this.endpointUrl = 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. *
* * @return The URI that specifies where to send real-time prediction requests for theMLModel
.
* * Note: The application must wait until the real-time endpoint is ready before using this URI. */ public String getEndpointUrl() { return this.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. *
* * @param endpointUrl * The URI that specifies where to send real-time prediction requests for theMLModel
.
* * Note: The application must wait until the real-time endpoint is ready before using this URI. * @return Returns a reference to this object so that method calls can be chained together. */ public RealtimeEndpointInfo withEndpointUrl(String endpointUrl) { setEndpointUrl(endpointUrl); return this; } /** *
* 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.
*
* 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.
*
* 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.
*
* 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.
*
* 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.
*