com.amazonaws.services.personalize.model.CreateSolutionVersionRequest Maven / Gradle / Ivy
/*
* Copyright 2017-2022 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.personalize.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.AmazonWebServiceRequest;
/**
*
* @see AWS
* API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class CreateSolutionVersionRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable {
/**
*
* The Amazon Resource Name (ARN) of the solution containing the training configuration information.
*
*/
private String solutionArn;
/**
*
* The scope of training to be performed when creating the solution version. The FULL option trains the
* solution version based on the entirety of the input solution's training data, while the UPDATE
* option processes only the data that has changed in comparison to the input solution. Choose UPDATE
* when you want to incrementally update your solution version instead of creating an entirely new one.
*
*
*
* The UPDATE option can only be used when you already have an active solution version created from the
* input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart
* recipe.
*
*
*/
private String trainingMode;
/**
*
* The Amazon Resource Name (ARN) of the solution containing the training configuration information.
*
*
* @param solutionArn
* The Amazon Resource Name (ARN) of the solution containing the training configuration information.
*/
public void setSolutionArn(String solutionArn) {
this.solutionArn = solutionArn;
}
/**
*
* The Amazon Resource Name (ARN) of the solution containing the training configuration information.
*
*
* @return The Amazon Resource Name (ARN) of the solution containing the training configuration information.
*/
public String getSolutionArn() {
return this.solutionArn;
}
/**
*
* The Amazon Resource Name (ARN) of the solution containing the training configuration information.
*
*
* @param solutionArn
* The Amazon Resource Name (ARN) of the solution containing the training configuration information.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateSolutionVersionRequest withSolutionArn(String solutionArn) {
setSolutionArn(solutionArn);
return this;
}
/**
*
* The scope of training to be performed when creating the solution version. The FULL option trains the
* solution version based on the entirety of the input solution's training data, while the UPDATE
* option processes only the data that has changed in comparison to the input solution. Choose UPDATE
* when you want to incrementally update your solution version instead of creating an entirely new one.
*
*
*
* The UPDATE option can only be used when you already have an active solution version created from the
* input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart
* recipe.
*
*
*
* @param trainingMode
* The scope of training to be performed when creating the solution version. The FULL option
* trains the solution version based on the entirety of the input solution's training data, while the
* UPDATE option processes only the data that has changed in comparison to the input solution.
* Choose UPDATE when you want to incrementally update your solution version instead of creating
* an entirely new one.
*
* The UPDATE option can only be used when you already have an active solution version created
* from the input solution using the FULL option and the input solution was trained with the
* User-Personalization recipe or the HRNN-Coldstart recipe.
*
* @see TrainingMode
*/
public void setTrainingMode(String trainingMode) {
this.trainingMode = trainingMode;
}
/**
*
* The scope of training to be performed when creating the solution version. The FULL option trains the
* solution version based on the entirety of the input solution's training data, while the UPDATE
* option processes only the data that has changed in comparison to the input solution. Choose UPDATE
* when you want to incrementally update your solution version instead of creating an entirely new one.
*
*
*
* The UPDATE option can only be used when you already have an active solution version created from the
* input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart
* recipe.
*
*
*
* @return The scope of training to be performed when creating the solution version. The FULL option
* trains the solution version based on the entirety of the input solution's training data, while the
* UPDATE option processes only the data that has changed in comparison to the input solution.
* Choose UPDATE when you want to incrementally update your solution version instead of
* creating an entirely new one.
*
* The UPDATE option can only be used when you already have an active solution version created
* from the input solution using the FULL option and the input solution was trained with the
* User-Personalization recipe or the HRNN-Coldstart recipe.
*
* @see TrainingMode
*/
public String getTrainingMode() {
return this.trainingMode;
}
/**
*
* The scope of training to be performed when creating the solution version. The FULL option trains the
* solution version based on the entirety of the input solution's training data, while the UPDATE
* option processes only the data that has changed in comparison to the input solution. Choose UPDATE
* when you want to incrementally update your solution version instead of creating an entirely new one.
*
*
*
* The UPDATE option can only be used when you already have an active solution version created from the
* input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart
* recipe.
*
*
*
* @param trainingMode
* The scope of training to be performed when creating the solution version. The FULL option
* trains the solution version based on the entirety of the input solution's training data, while the
* UPDATE option processes only the data that has changed in comparison to the input solution.
* Choose UPDATE when you want to incrementally update your solution version instead of creating
* an entirely new one.
*
* The UPDATE option can only be used when you already have an active solution version created
* from the input solution using the FULL option and the input solution was trained with the
* User-Personalization recipe or the HRNN-Coldstart recipe.
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see TrainingMode
*/
public CreateSolutionVersionRequest withTrainingMode(String trainingMode) {
setTrainingMode(trainingMode);
return this;
}
/**
*
* The scope of training to be performed when creating the solution version. The FULL option trains the
* solution version based on the entirety of the input solution's training data, while the UPDATE
* option processes only the data that has changed in comparison to the input solution. Choose UPDATE
* when you want to incrementally update your solution version instead of creating an entirely new one.
*
*
*
* The UPDATE option can only be used when you already have an active solution version created from the
* input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart
* recipe.
*
*
*
* @param trainingMode
* The scope of training to be performed when creating the solution version. The FULL option
* trains the solution version based on the entirety of the input solution's training data, while the
* UPDATE option processes only the data that has changed in comparison to the input solution.
* Choose UPDATE when you want to incrementally update your solution version instead of creating
* an entirely new one.
*
* The UPDATE option can only be used when you already have an active solution version created
* from the input solution using the FULL option and the input solution was trained with the
* User-Personalization recipe or the HRNN-Coldstart recipe.
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see TrainingMode
*/
public CreateSolutionVersionRequest withTrainingMode(TrainingMode trainingMode) {
this.trainingMode = trainingMode.toString();
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 (getSolutionArn() != null)
sb.append("SolutionArn: ").append(getSolutionArn()).append(",");
if (getTrainingMode() != null)
sb.append("TrainingMode: ").append(getTrainingMode());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof CreateSolutionVersionRequest == false)
return false;
CreateSolutionVersionRequest other = (CreateSolutionVersionRequest) obj;
if (other.getSolutionArn() == null ^ this.getSolutionArn() == null)
return false;
if (other.getSolutionArn() != null && other.getSolutionArn().equals(this.getSolutionArn()) == false)
return false;
if (other.getTrainingMode() == null ^ this.getTrainingMode() == null)
return false;
if (other.getTrainingMode() != null && other.getTrainingMode().equals(this.getTrainingMode()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getSolutionArn() == null) ? 0 : getSolutionArn().hashCode());
hashCode = prime * hashCode + ((getTrainingMode() == null) ? 0 : getTrainingMode().hashCode());
return hashCode;
}
@Override
public CreateSolutionVersionRequest clone() {
return (CreateSolutionVersionRequest) super.clone();
}
}