/* * 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.sagemaker.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 AddAssociationRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable { /** *
* The ARN of the source. *
*/ private String sourceArn; /** ** The Amazon Resource Name (ARN) of the destination. *
*/ private String destinationArn; /** ** The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions * on their use. *
** ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, * the training data contributed to the training job. *
** AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with * a model deployment. *
** DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input * for a processing job is derived from the original inputs. *
** Produced - The source generated the destination. For example, a training job produced a model artifact. *
** The ARN of the source. *
* * @param sourceArn * The ARN of the source. */ public void setSourceArn(String sourceArn) { this.sourceArn = sourceArn; } /** ** The ARN of the source. *
* * @return The ARN of the source. */ public String getSourceArn() { return this.sourceArn; } /** ** The ARN of the source. *
* * @param sourceArn * The ARN of the source. * @return Returns a reference to this object so that method calls can be chained together. */ public AddAssociationRequest withSourceArn(String sourceArn) { setSourceArn(sourceArn); return this; } /** ** The Amazon Resource Name (ARN) of the destination. *
* * @param destinationArn * The Amazon Resource Name (ARN) of the destination. */ public void setDestinationArn(String destinationArn) { this.destinationArn = destinationArn; } /** ** The Amazon Resource Name (ARN) of the destination. *
* * @return The Amazon Resource Name (ARN) of the destination. */ public String getDestinationArn() { return this.destinationArn; } /** ** The Amazon Resource Name (ARN) of the destination. *
* * @param destinationArn * The Amazon Resource Name (ARN) of the destination. * @return Returns a reference to this object so that method calls can be chained together. */ public AddAssociationRequest withDestinationArn(String destinationArn) { setDestinationArn(destinationArn); return this; } /** ** The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions * on their use. *
** ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, * the training data contributed to the training job. *
** AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with * a model deployment. *
** DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input * for a processing job is derived from the original inputs. *
** Produced - The source generated the destination. For example, a training job produced a model artifact. *
** ContributedTo - The source contributed to the destination or had a part in enabling the destination. For * example, the training data contributed to the training job. *
** AssociatedWith - The source is connected to the destination. For example, an approval workflow is * associated with a model deployment. *
** DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel * input for a processing job is derived from the original inputs. *
** Produced - The source generated the destination. For example, a training job produced a model artifact. *
** The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions * on their use. *
** ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, * the training data contributed to the training job. *
** AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with * a model deployment. *
** DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input * for a processing job is derived from the original inputs. *
** Produced - The source generated the destination. For example, a training job produced a model artifact. *
** ContributedTo - The source contributed to the destination or had a part in enabling the destination. For * example, the training data contributed to the training job. *
** AssociatedWith - The source is connected to the destination. For example, an approval workflow is * associated with a model deployment. *
** DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel * input for a processing job is derived from the original inputs. *
** Produced - The source generated the destination. For example, a training job produced a model artifact. *
** The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions * on their use. *
** ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, * the training data contributed to the training job. *
** AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with * a model deployment. *
** DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input * for a processing job is derived from the original inputs. *
** Produced - The source generated the destination. For example, a training job produced a model artifact. *
** ContributedTo - The source contributed to the destination or had a part in enabling the destination. For * example, the training data contributed to the training job. *
** AssociatedWith - The source is connected to the destination. For example, an approval workflow is * associated with a model deployment. *
** DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel * input for a processing job is derived from the original inputs. *
** Produced - The source generated the destination. For example, a training job produced a model artifact. *
** The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions * on their use. *
** ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, * the training data contributed to the training job. *
** AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with * a model deployment. *
** DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input * for a processing job is derived from the original inputs. *
** Produced - The source generated the destination. For example, a training job produced a model artifact. *
** ContributedTo - The source contributed to the destination or had a part in enabling the destination. For * example, the training data contributed to the training job. *
** AssociatedWith - The source is connected to the destination. For example, an approval workflow is * associated with a model deployment. *
** DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel * input for a processing job is derived from the original inputs. *
** Produced - The source generated the destination. For example, a training job produced a model artifact. *
*