/*
* 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.AmazonWebServiceRequest;
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class DescribeMLModelsRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable {
/**
* <p>
* Use one of the following variables to filter a list of <code>MLModel</code>:
* </p>
* <ul>
* <li>
* <p>
* <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.
* </p>
* </li>
* <li>
* <p>
* <code>Status</code> - Sets the search criteria to <code>MLModel</code> status.
* </p>
* </li>
* <li>
* <p>
* <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b> <code>Name</code>.
* </p>
* </li>
* <li>
* <p>
* <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code>
* creation.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train one or
* more <code>MLModel</code>.
* </p>
* </li>
* <li>
* <p>
* <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time endpoint
* status.
* </p>
* </li>
* <li>
* <p>
* <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or
* multi-class.
* </p>
* </li>
* <li>
* <p>
* <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a
* <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket
* or directory.
* </p>
* </li>
* </ul>
*/
private String filterVariable;
/**
* <p>
* The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that exactly
* match the value specified with <code>EQ</code>.
* </p>
*/
private String eQ;
/**
* <p>
* The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are
* greater than the value specified with <code>GT</code>.
* </p>
*/
private String gT;
/**
* <p>
* The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are
* less than the value specified with <code>LT</code>.
* </p>
*/
private String lT;
/**
* <p>
* The greater than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code>
* values that are greater than or equal to the value specified with <code>GE</code>.
* </p>
*/
private String gE;
/**
* <p>
* The less than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values
* that are less than or equal to the value specified with <code>LE</code>.
* </p>
*/
private String lE;
/**
* <p>
* The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values not
* equal to the value specified with <code>NE</code>.
* </p>
*/
private String nE;
/**
* <p>
* A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>.
* </p>
* <p>
* For example, an <code>MLModel</code> could have the <code>Name</code> <code>2014-09-09-HolidayGiftMailer</code>.
* To search for this <code>MLModel</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of
* the following strings for the <code>Prefix</code>:
* </p>
* <ul>
* <li>
* <p>
* 2014-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09-Holiday
* </p>
* </li>
* </ul>
*/
private String prefix;
/**
* <p>
* A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.
* </p>
* <ul>
* <li>
* <p>
* <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).
* </p>
* </li>
* <li>
* <p>
* <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).
* </p>
* </li>
* </ul>
* <p>
* Results are sorted by <code>FilterVariable</code>.
* </p>
*/
private String sortOrder;
/**
* <p>
* The ID of the page in the paginated results.
* </p>
*/
private String nextToken;
/**
* <p>
* The number of pages of information to include in the result. The range of acceptable values is <code>1</code>
* through <code>100</code>. The default value is <code>100</code>.
* </p>
*/
private Integer limit;
/**
* <p>
* Use one of the following variables to filter a list of <code>MLModel</code>:
* </p>
* <ul>
* <li>
* <p>
* <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.
* </p>
* </li>
* <li>
* <p>
* <code>Status</code> - Sets the search criteria to <code>MLModel</code> status.
* </p>
* </li>
* <li>
* <p>
* <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b> <code>Name</code>.
* </p>
* </li>
* <li>
* <p>
* <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code>
* creation.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train one or
* more <code>MLModel</code>.
* </p>
* </li>
* <li>
* <p>
* <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time endpoint
* status.
* </p>
* </li>
* <li>
* <p>
* <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or
* multi-class.
* </p>
* </li>
* <li>
* <p>
* <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a
* <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket
* or directory.
* </p>
* </li>
* </ul>
*
* @param filterVariable
* Use one of the following variables to filter a list of <code>MLModel</code>:</p>
* <ul>
* <li>
* <p>
* <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.
* </p>
* </li>
* <li>
* <p>
* <code>Status</code> - Sets the search criteria to <code>MLModel</code> status.
* </p>
* </li>
* <li>
* <p>
* <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b>
* <code>Name</code>.
* </p>
* </li>
* <li>
* <p>
* <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code>
* creation.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train
* one or more <code>MLModel</code>.
* </p>
* </li>
* <li>
* <p>
* <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time
* endpoint status.
* </p>
* </li>
* <li>
* <p>
* <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or
* multi-class.
* </p>
* </li>
* <li>
* <p>
* <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a
* <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3)
* bucket or directory.
* </p>
* </li>
* @see MLModelFilterVariable
*/
public void setFilterVariable(String filterVariable) {
this.filterVariable = filterVariable;
}
/**
* <p>
* Use one of the following variables to filter a list of <code>MLModel</code>:
* </p>
* <ul>
* <li>
* <p>
* <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.
* </p>
* </li>
* <li>
* <p>
* <code>Status</code> - Sets the search criteria to <code>MLModel</code> status.
* </p>
* </li>
* <li>
* <p>
* <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b> <code>Name</code>.
* </p>
* </li>
* <li>
* <p>
* <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code>
* creation.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train one or
* more <code>MLModel</code>.
* </p>
* </li>
* <li>
* <p>
* <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time endpoint
* status.
* </p>
* </li>
* <li>
* <p>
* <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or
* multi-class.
* </p>
* </li>
* <li>
* <p>
* <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a
* <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket
* or directory.
* </p>
* </li>
* </ul>
*
* @return Use one of the following variables to filter a list of <code>MLModel</code>:</p>
* <ul>
* <li>
* <p>
* <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.
* </p>
* </li>
* <li>
* <p>
* <code>Status</code> - Sets the search criteria to <code>MLModel</code> status.
* </p>
* </li>
* <li>
* <p>
* <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b>
* <code>Name</code>.
* </p>
* </li>
* <li>
* <p>
* <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code>
* creation.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train
* one or more <code>MLModel</code>.
* </p>
* </li>
* <li>
* <p>
* <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time
* endpoint status.
* </p>
* </li>
* <li>
* <p>
* <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or
* multi-class.
* </p>
* </li>
* <li>
* <p>
* <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a
* <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3)
* bucket or directory.
* </p>
* </li>
* @see MLModelFilterVariable
*/
public String getFilterVariable() {
return this.filterVariable;
}
/**
* <p>
* Use one of the following variables to filter a list of <code>MLModel</code>:
* </p>
* <ul>
* <li>
* <p>
* <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.
* </p>
* </li>
* <li>
* <p>
* <code>Status</code> - Sets the search criteria to <code>MLModel</code> status.
* </p>
* </li>
* <li>
* <p>
* <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b> <code>Name</code>.
* </p>
* </li>
* <li>
* <p>
* <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code>
* creation.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train one or
* more <code>MLModel</code>.
* </p>
* </li>
* <li>
* <p>
* <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time endpoint
* status.
* </p>
* </li>
* <li>
* <p>
* <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or
* multi-class.
* </p>
* </li>
* <li>
* <p>
* <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a
* <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket
* or directory.
* </p>
* </li>
* </ul>
*
* @param filterVariable
* Use one of the following variables to filter a list of <code>MLModel</code>:</p>
* <ul>
* <li>
* <p>
* <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.
* </p>
* </li>
* <li>
* <p>
* <code>Status</code> - Sets the search criteria to <code>MLModel</code> status.
* </p>
* </li>
* <li>
* <p>
* <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b>
* <code>Name</code>.
* </p>
* </li>
* <li>
* <p>
* <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code>
* creation.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train
* one or more <code>MLModel</code>.
* </p>
* </li>
* <li>
* <p>
* <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time
* endpoint status.
* </p>
* </li>
* <li>
* <p>
* <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or
* multi-class.
* </p>
* </li>
* <li>
* <p>
* <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a
* <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3)
* bucket or directory.
* </p>
* </li>
* @return Returns a reference to this object so that method calls can be chained together.
* @see MLModelFilterVariable
*/
public DescribeMLModelsRequest withFilterVariable(String filterVariable) {
setFilterVariable(filterVariable);
return this;
}
/**
* <p>
* Use one of the following variables to filter a list of <code>MLModel</code>:
* </p>
* <ul>
* <li>
* <p>
* <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.
* </p>
* </li>
* <li>
* <p>
* <code>Status</code> - Sets the search criteria to <code>MLModel</code> status.
* </p>
* </li>
* <li>
* <p>
* <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b> <code>Name</code>.
* </p>
* </li>
* <li>
* <p>
* <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code>
* creation.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train one or
* more <code>MLModel</code>.
* </p>
* </li>
* <li>
* <p>
* <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time endpoint
* status.
* </p>
* </li>
* <li>
* <p>
* <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or
* multi-class.
* </p>
* </li>
* <li>
* <p>
* <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a
* <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket
* or directory.
* </p>
* </li>
* </ul>
*
* @param filterVariable
* Use one of the following variables to filter a list of <code>MLModel</code>:</p>
* <ul>
* <li>
* <p>
* <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.
* </p>
* </li>
* <li>
* <p>
* <code>Status</code> - Sets the search criteria to <code>MLModel</code> status.
* </p>
* </li>
* <li>
* <p>
* <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b>
* <code>Name</code>.
* </p>
* </li>
* <li>
* <p>
* <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code>
* creation.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train
* one or more <code>MLModel</code>.
* </p>
* </li>
* <li>
* <p>
* <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time
* endpoint status.
* </p>
* </li>
* <li>
* <p>
* <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or
* multi-class.
* </p>
* </li>
* <li>
* <p>
* <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a
* <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3)
* bucket or directory.
* </p>
* </li>
* @see MLModelFilterVariable
*/
public void setFilterVariable(MLModelFilterVariable filterVariable) {
withFilterVariable(filterVariable);
}
/**
* <p>
* Use one of the following variables to filter a list of <code>MLModel</code>:
* </p>
* <ul>
* <li>
* <p>
* <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.
* </p>
* </li>
* <li>
* <p>
* <code>Status</code> - Sets the search criteria to <code>MLModel</code> status.
* </p>
* </li>
* <li>
* <p>
* <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b> <code>Name</code>.
* </p>
* </li>
* <li>
* <p>
* <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code>
* creation.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train one or
* more <code>MLModel</code>.
* </p>
* </li>
* <li>
* <p>
* <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time endpoint
* status.
* </p>
* </li>
* <li>
* <p>
* <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or
* multi-class.
* </p>
* </li>
* <li>
* <p>
* <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a
* <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket
* or directory.
* </p>
* </li>
* </ul>
*
* @param filterVariable
* Use one of the following variables to filter a list of <code>MLModel</code>:</p>
* <ul>
* <li>
* <p>
* <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date.
* </p>
* </li>
* <li>
* <p>
* <code>Status</code> - Sets the search criteria to <code>MLModel</code> status.
* </p>
* </li>
* <li>
* <p>
* <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code> <b> </b>
* <code>Name</code>.
* </p>
* </li>
* <li>
* <p>
* <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code>
* creation.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train
* one or more <code>MLModel</code>.
* </p>
* </li>
* <li>
* <p>
* <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time
* endpoint status.
* </p>
* </li>
* <li>
* <p>
* <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or
* multi-class.
* </p>
* </li>
* <li>
* <p>
* <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses.
* </p>
* </li>
* <li>
* <p>
* <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a
* <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3)
* bucket or directory.
* </p>
* </li>
* @return Returns a reference to this object so that method calls can be chained together.
* @see MLModelFilterVariable
*/
public DescribeMLModelsRequest withFilterVariable(MLModelFilterVariable filterVariable) {
this.filterVariable = filterVariable.toString();
return this;
}
/**
* <p>
* The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that exactly
* match the value specified with <code>EQ</code>.
* </p>
*
* @param eQ
* The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that
* exactly match the value specified with <code>EQ</code>.
*/
public void setEQ(String eQ) {
this.eQ = eQ;
}
/**
* <p>
* The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that exactly
* match the value specified with <code>EQ</code>.
* </p>
*
* @return The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that
* exactly match the value specified with <code>EQ</code>.
*/
public String getEQ() {
return this.eQ;
}
/**
* <p>
* The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that exactly
* match the value specified with <code>EQ</code>.
* </p>
*
* @param eQ
* The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that
* exactly match the value specified with <code>EQ</code>.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeMLModelsRequest withEQ(String eQ) {
setEQ(eQ);
return this;
}
/**
* <p>
* The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are
* greater than the value specified with <code>GT</code>.
* </p>
*
* @param gT
* The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values
* that are greater than the value specified with <code>GT</code>.
*/
public void setGT(String gT) {
this.gT = gT;
}
/**
* <p>
* The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are
* greater than the value specified with <code>GT</code>.
* </p>
*
* @return The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values
* that are greater than the value specified with <code>GT</code>.
*/
public String getGT() {
return this.gT;
}
/**
* <p>
* The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are
* greater than the value specified with <code>GT</code>.
* </p>
*
* @param gT
* The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values
* that are greater than the value specified with <code>GT</code>.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeMLModelsRequest withGT(String gT) {
setGT(gT);
return this;
}
/**
* <p>
* The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are
* less than the value specified with <code>LT</code>.
* </p>
*
* @param lT
* The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that
* are less than the value specified with <code>LT</code>.
*/
public void setLT(String lT) {
this.lT = lT;
}
/**
* <p>
* The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are
* less than the value specified with <code>LT</code>.
* </p>
*
* @return The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values
* that are less than the value specified with <code>LT</code>.
*/
public String getLT() {
return this.lT;
}
/**
* <p>
* The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are
* less than the value specified with <code>LT</code>.
* </p>
*
* @param lT
* The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that
* are less than the value specified with <code>LT</code>.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeMLModelsRequest withLT(String lT) {
setLT(lT);
return this;
}
/**
* <p>
* The greater than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code>
* values that are greater than or equal to the value specified with <code>GE</code>.
* </p>
*
* @param gE
* The greater than or equal to operator. The <code>MLModel</code> results will have
* <code>FilterVariable</code> values that are greater than or equal to the value specified with
* <code>GE</code>.
*/
public void setGE(String gE) {
this.gE = gE;
}
/**
* <p>
* The greater than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code>
* values that are greater than or equal to the value specified with <code>GE</code>.
* </p>
*
* @return The greater than or equal to operator. The <code>MLModel</code> results will have
* <code>FilterVariable</code> values that are greater than or equal to the value specified with
* <code>GE</code>.
*/
public String getGE() {
return this.gE;
}
/**
* <p>
* The greater than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code>
* values that are greater than or equal to the value specified with <code>GE</code>.
* </p>
*
* @param gE
* The greater than or equal to operator. The <code>MLModel</code> results will have
* <code>FilterVariable</code> values that are greater than or equal to the value specified with
* <code>GE</code>.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeMLModelsRequest withGE(String gE) {
setGE(gE);
return this;
}
/**
* <p>
* The less than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values
* that are less than or equal to the value specified with <code>LE</code>.
* </p>
*
* @param lE
* The less than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code>
* values that are less than or equal to the value specified with <code>LE</code>.
*/
public void setLE(String lE) {
this.lE = lE;
}
/**
* <p>
* The less than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values
* that are less than or equal to the value specified with <code>LE</code>.
* </p>
*
* @return The less than or equal to operator. The <code>MLModel</code> results will have
* <code>FilterVariable</code> values that are less than or equal to the value specified with
* <code>LE</code>.
*/
public String getLE() {
return this.lE;
}
/**
* <p>
* The less than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values
* that are less than or equal to the value specified with <code>LE</code>.
* </p>
*
* @param lE
* The less than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code>
* values that are less than or equal to the value specified with <code>LE</code>.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeMLModelsRequest withLE(String lE) {
setLE(lE);
return this;
}
/**
* <p>
* The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values not
* equal to the value specified with <code>NE</code>.
* </p>
*
* @param nE
* The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values
* not equal to the value specified with <code>NE</code>.
*/
public void setNE(String nE) {
this.nE = nE;
}
/**
* <p>
* The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values not
* equal to the value specified with <code>NE</code>.
* </p>
*
* @return The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values
* not equal to the value specified with <code>NE</code>.
*/
public String getNE() {
return this.nE;
}
/**
* <p>
* The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values not
* equal to the value specified with <code>NE</code>.
* </p>
*
* @param nE
* The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values
* not equal to the value specified with <code>NE</code>.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeMLModelsRequest withNE(String nE) {
setNE(nE);
return this;
}
/**
* <p>
* A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>.
* </p>
* <p>
* For example, an <code>MLModel</code> could have the <code>Name</code> <code>2014-09-09-HolidayGiftMailer</code>.
* To search for this <code>MLModel</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of
* the following strings for the <code>Prefix</code>:
* </p>
* <ul>
* <li>
* <p>
* 2014-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09-Holiday
* </p>
* </li>
* </ul>
*
* @param prefix
* A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>.</p>
* <p>
* For example, an <code>MLModel</code> could have the <code>Name</code>
* <code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>MLModel</code>, select
* <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the
* <code>Prefix</code>:
* </p>
* <ul>
* <li>
* <p>
* 2014-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09-Holiday
* </p>
* </li>
*/
public void setPrefix(String prefix) {
this.prefix = prefix;
}
/**
* <p>
* A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>.
* </p>
* <p>
* For example, an <code>MLModel</code> could have the <code>Name</code> <code>2014-09-09-HolidayGiftMailer</code>.
* To search for this <code>MLModel</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of
* the following strings for the <code>Prefix</code>:
* </p>
* <ul>
* <li>
* <p>
* 2014-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09-Holiday
* </p>
* </li>
* </ul>
*
* @return A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>.</p>
* <p>
* For example, an <code>MLModel</code> could have the <code>Name</code>
* <code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>MLModel</code>, select
* <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the
* <code>Prefix</code>:
* </p>
* <ul>
* <li>
* <p>
* 2014-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09-Holiday
* </p>
* </li>
*/
public String getPrefix() {
return this.prefix;
}
/**
* <p>
* A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>.
* </p>
* <p>
* For example, an <code>MLModel</code> could have the <code>Name</code> <code>2014-09-09-HolidayGiftMailer</code>.
* To search for this <code>MLModel</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of
* the following strings for the <code>Prefix</code>:
* </p>
* <ul>
* <li>
* <p>
* 2014-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09-Holiday
* </p>
* </li>
* </ul>
*
* @param prefix
* A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>.</p>
* <p>
* For example, an <code>MLModel</code> could have the <code>Name</code>
* <code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>MLModel</code>, select
* <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the
* <code>Prefix</code>:
* </p>
* <ul>
* <li>
* <p>
* 2014-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09
* </p>
* </li>
* <li>
* <p>
* 2014-09-09-Holiday
* </p>
* </li>
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeMLModelsRequest withPrefix(String prefix) {
setPrefix(prefix);
return this;
}
/**
* <p>
* A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.
* </p>
* <ul>
* <li>
* <p>
* <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).
* </p>
* </li>
* <li>
* <p>
* <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).
* </p>
* </li>
* </ul>
* <p>
* Results are sorted by <code>FilterVariable</code>.
* </p>
*
* @param sortOrder
* A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.</p>
* <ul>
* <li>
* <p>
* <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).
* </p>
* </li>
* <li>
* <p>
* <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).
* </p>
* </li>
* </ul>
* <p>
* Results are sorted by <code>FilterVariable</code>.
* @see SortOrder
*/
public void setSortOrder(String sortOrder) {
this.sortOrder = sortOrder;
}
/**
* <p>
* A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.
* </p>
* <ul>
* <li>
* <p>
* <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).
* </p>
* </li>
* <li>
* <p>
* <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).
* </p>
* </li>
* </ul>
* <p>
* Results are sorted by <code>FilterVariable</code>.
* </p>
*
* @return A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.</p>
* <ul>
* <li>
* <p>
* <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).
* </p>
* </li>
* <li>
* <p>
* <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).
* </p>
* </li>
* </ul>
* <p>
* Results are sorted by <code>FilterVariable</code>.
* @see SortOrder
*/
public String getSortOrder() {
return this.sortOrder;
}
/**
* <p>
* A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.
* </p>
* <ul>
* <li>
* <p>
* <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).
* </p>
* </li>
* <li>
* <p>
* <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).
* </p>
* </li>
* </ul>
* <p>
* Results are sorted by <code>FilterVariable</code>.
* </p>
*
* @param sortOrder
* A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.</p>
* <ul>
* <li>
* <p>
* <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).
* </p>
* </li>
* <li>
* <p>
* <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).
* </p>
* </li>
* </ul>
* <p>
* Results are sorted by <code>FilterVariable</code>.
* @return Returns a reference to this object so that method calls can be chained together.
* @see SortOrder
*/
public DescribeMLModelsRequest withSortOrder(String sortOrder) {
setSortOrder(sortOrder);
return this;
}
/**
* <p>
* A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.
* </p>
* <ul>
* <li>
* <p>
* <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).
* </p>
* </li>
* <li>
* <p>
* <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).
* </p>
* </li>
* </ul>
* <p>
* Results are sorted by <code>FilterVariable</code>.
* </p>
*
* @param sortOrder
* A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.</p>
* <ul>
* <li>
* <p>
* <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).
* </p>
* </li>
* <li>
* <p>
* <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).
* </p>
* </li>
* </ul>
* <p>
* Results are sorted by <code>FilterVariable</code>.
* @see SortOrder
*/
public void setSortOrder(SortOrder sortOrder) {
withSortOrder(sortOrder);
}
/**
* <p>
* A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.
* </p>
* <ul>
* <li>
* <p>
* <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).
* </p>
* </li>
* <li>
* <p>
* <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).
* </p>
* </li>
* </ul>
* <p>
* Results are sorted by <code>FilterVariable</code>.
* </p>
*
* @param sortOrder
* A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>.</p>
* <ul>
* <li>
* <p>
* <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9).
* </p>
* </li>
* <li>
* <p>
* <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0).
* </p>
* </li>
* </ul>
* <p>
* Results are sorted by <code>FilterVariable</code>.
* @return Returns a reference to this object so that method calls can be chained together.
* @see SortOrder
*/
public DescribeMLModelsRequest withSortOrder(SortOrder sortOrder) {
this.sortOrder = sortOrder.toString();
return this;
}
/**
* <p>
* The ID of the page in the paginated results.
* </p>
*
* @param nextToken
* The ID of the page in the paginated results.
*/
public void setNextToken(String nextToken) {
this.nextToken = nextToken;
}
/**
* <p>
* The ID of the page in the paginated results.
* </p>
*
* @return The ID of the page in the paginated results.
*/
public String getNextToken() {
return this.nextToken;
}
/**
* <p>
* The ID of the page in the paginated results.
* </p>
*
* @param nextToken
* The ID of the page in the paginated results.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeMLModelsRequest withNextToken(String nextToken) {
setNextToken(nextToken);
return this;
}
/**
* <p>
* The number of pages of information to include in the result. The range of acceptable values is <code>1</code>
* through <code>100</code>. The default value is <code>100</code>.
* </p>
*
* @param limit
* The number of pages of information to include in the result. The range of acceptable values is
* <code>1</code> through <code>100</code>. The default value is <code>100</code>.
*/
public void setLimit(Integer limit) {
this.limit = limit;
}
/**
* <p>
* The number of pages of information to include in the result. The range of acceptable values is <code>1</code>
* through <code>100</code>. The default value is <code>100</code>.
* </p>
*
* @return The number of pages of information to include in the result. The range of acceptable values is
* <code>1</code> through <code>100</code>. The default value is <code>100</code>.
*/
public Integer getLimit() {
return this.limit;
}
/**
* <p>
* The number of pages of information to include in the result. The range of acceptable values is <code>1</code>
* through <code>100</code>. The default value is <code>100</code>.
* </p>
*
* @param limit
* The number of pages of information to include in the result. The range of acceptable values is
* <code>1</code> through <code>100</code>. The default value is <code>100</code>.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeMLModelsRequest withLimit(Integer limit) {
setLimit(limit);
return this;
}
/**
* Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be
* redacted from this string using a placeholder value.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getFilterVariable() != null)
sb.append("FilterVariable: ").append(getFilterVariable()).append(",");
if (getEQ() != null)
sb.append("EQ: ").append(getEQ()).append(",");
if (getGT() != null)
sb.append("GT: ").append(getGT()).append(",");
if (getLT() != null)
sb.append("LT: ").append(getLT()).append(",");
if (getGE() != null)
sb.append("GE: ").append(getGE()).append(",");
if (getLE() != null)
sb.append("LE: ").append(getLE()).append(",");
if (getNE() != null)
sb.append("NE: ").append(getNE()).append(",");
if (getPrefix() != null)
sb.append("Prefix: ").append(getPrefix()).append(",");
if (getSortOrder() != null)
sb.append("SortOrder: ").append(getSortOrder()).append(",");
if (getNextToken() != null)
sb.append("NextToken: ").append(getNextToken()).append(",");
if (getLimit() != null)
sb.append("Limit: ").append(getLimit());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof DescribeMLModelsRequest == false)
return false;
DescribeMLModelsRequest other = (DescribeMLModelsRequest) obj;
if (other.getFilterVariable() == null ^ this.getFilterVariable() == null)
return false;
if (other.getFilterVariable() != null && other.getFilterVariable().equals(this.getFilterVariable()) == false)
return false;
if (other.getEQ() == null ^ this.getEQ() == null)
return false;
if (other.getEQ() != null && other.getEQ().equals(this.getEQ()) == false)
return false;
if (other.getGT() == null ^ this.getGT() == null)
return false;
if (other.getGT() != null && other.getGT().equals(this.getGT()) == false)
return false;
if (other.getLT() == null ^ this.getLT() == null)
return false;
if (other.getLT() != null && other.getLT().equals(this.getLT()) == false)
return false;
if (other.getGE() == null ^ this.getGE() == null)
return false;
if (other.getGE() != null && other.getGE().equals(this.getGE()) == false)
return false;
if (other.getLE() == null ^ this.getLE() == null)
return false;
if (other.getLE() != null && other.getLE().equals(this.getLE()) == false)
return false;
if (other.getNE() == null ^ this.getNE() == null)
return false;
if (other.getNE() != null && other.getNE().equals(this.getNE()) == false)
return false;
if (other.getPrefix() == null ^ this.getPrefix() == null)
return false;
if (other.getPrefix() != null && other.getPrefix().equals(this.getPrefix()) == false)
return false;
if (other.getSortOrder() == null ^ this.getSortOrder() == null)
return false;
if (other.getSortOrder() != null && other.getSortOrder().equals(this.getSortOrder()) == false)
return false;
if (other.getNextToken() == null ^ this.getNextToken() == null)
return false;
if (other.getNextToken() != null && other.getNextToken().equals(this.getNextToken()) == false)
return false;
if (other.getLimit() == null ^ this.getLimit() == null)
return false;
if (other.getLimit() != null && other.getLimit().equals(this.getLimit()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getFilterVariable() == null) ? 0 : getFilterVariable().hashCode());
hashCode = prime * hashCode + ((getEQ() == null) ? 0 : getEQ().hashCode());
hashCode = prime * hashCode + ((getGT() == null) ? 0 : getGT().hashCode());
hashCode = prime * hashCode + ((getLT() == null) ? 0 : getLT().hashCode());
hashCode = prime * hashCode + ((getGE() == null) ? 0 : getGE().hashCode());
hashCode = prime * hashCode + ((getLE() == null) ? 0 : getLE().hashCode());
hashCode = prime * hashCode + ((getNE() == null) ? 0 : getNE().hashCode());
hashCode = prime * hashCode + ((getPrefix() == null) ? 0 : getPrefix().hashCode());
hashCode = prime * hashCode + ((getSortOrder() == null) ? 0 : getSortOrder().hashCode());
hashCode = prime * hashCode + ((getNextToken() == null) ? 0 : getNextToken().hashCode());
hashCode = prime * hashCode + ((getLimit() == null) ? 0 : getLimit().hashCode());
return hashCode;
}
@Override
public DescribeMLModelsRequest clone() {
return (DescribeMLModelsRequest) super.clone();
}
}