/* * 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. *

*/ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class RealtimeEndpointInfo implements Serializable, Cloneable, StructuredPojo { /** *

* The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests * per second. *

*/ private Integer peakRequestsPerSecond; /** *

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

*/ private java.util.Date createdAt; /** *

* 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: *

* */ private String endpointStatus; /** *

* The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests * per second. *

* * @param peakRequestsPerSecond * The maximum processing rate for the real-time endpoint for 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. *

* * @return The maximum processing rate for the real-time endpoint for 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. *

* * @param peakRequestsPerSecond * The maximum processing rate for the real-time endpoint for 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. *

* * @param 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 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. *

* * @return The time that the request to create the real-time endpoint for the 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. *

* * @param createdAt * The time that the request to create the real-time endpoint for the 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 the MLModel.

*

* 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 the MLModel.

*

* 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 the MLModel.

*

* 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: *

* * * @param endpointStatus * The current status of the real-time endpoint for the MLModel. This element can have one of * the following values:

*