/* * 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.protocol.StructuredPojo; import com.amazonaws.protocol.ProtocolMarshaller; /** *
* Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig
* object must be supplied in order to use auto-labeling.
*
* Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the * following ARNs: *
** Image classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
*
* Text classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
*
* Object detection *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
*
* Semantic Segmentation *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
*
* At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for * auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of * the model here. *
*/ private String initialActiveLearningModelArn; /** ** Provides configuration information for a labeling job. *
*/ private LabelingJobResourceConfig labelingJobResourceConfig; /** ** Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the * following ARNs: *
** Image classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
*
* Text classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
*
* Object detection *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
*
* Semantic Segmentation *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
*
* Image classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
*
* Text classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
*
* Object detection *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
*
* Semantic Segmentation *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
*
* Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the * following ARNs: *
** Image classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
*
* Text classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
*
* Object detection *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
*
* Semantic Segmentation *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
*
* Image classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
*
* Text classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
*
* Object detection *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
*
* Semantic Segmentation *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
*
* Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the * following ARNs: *
** Image classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
*
* Text classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
*
* Object detection *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
*
* Semantic Segmentation *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
*
* Image classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
*
* Text classification *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
*
* Object detection *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
*
* Semantic Segmentation *
*
* arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
*
* At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for * auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of * the model here. *
* * @param initialActiveLearningModelArn * At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used * for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing * the ARN of the model here. */ public void setInitialActiveLearningModelArn(String initialActiveLearningModelArn) { this.initialActiveLearningModelArn = initialActiveLearningModelArn; } /** ** At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for * auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of * the model here. *
* * @return At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used * for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing * the ARN of the model here. */ public String getInitialActiveLearningModelArn() { return this.initialActiveLearningModelArn; } /** ** At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for * auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of * the model here. *
* * @param initialActiveLearningModelArn * At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used * for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing * the ARN of the model here. * @return Returns a reference to this object so that method calls can be chained together. */ public LabelingJobAlgorithmsConfig withInitialActiveLearningModelArn(String initialActiveLearningModelArn) { setInitialActiveLearningModelArn(initialActiveLearningModelArn); return this; } /** ** Provides configuration information for a labeling job. *
* * @param labelingJobResourceConfig * Provides configuration information for a labeling job. */ public void setLabelingJobResourceConfig(LabelingJobResourceConfig labelingJobResourceConfig) { this.labelingJobResourceConfig = labelingJobResourceConfig; } /** ** Provides configuration information for a labeling job. *
* * @return Provides configuration information for a labeling job. */ public LabelingJobResourceConfig getLabelingJobResourceConfig() { return this.labelingJobResourceConfig; } /** ** Provides configuration information for a labeling job. *
* * @param labelingJobResourceConfig * Provides configuration information for a labeling job. * @return Returns a reference to this object so that method calls can be chained together. */ public LabelingJobAlgorithmsConfig withLabelingJobResourceConfig(LabelingJobResourceConfig labelingJobResourceConfig) { setLabelingJobResourceConfig(labelingJobResourceConfig); 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 (getLabelingJobAlgorithmSpecificationArn() != null) sb.append("LabelingJobAlgorithmSpecificationArn: ").append(getLabelingJobAlgorithmSpecificationArn()).append(","); if (getInitialActiveLearningModelArn() != null) sb.append("InitialActiveLearningModelArn: ").append(getInitialActiveLearningModelArn()).append(","); if (getLabelingJobResourceConfig() != null) sb.append("LabelingJobResourceConfig: ").append(getLabelingJobResourceConfig()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof LabelingJobAlgorithmsConfig == false) return false; LabelingJobAlgorithmsConfig other = (LabelingJobAlgorithmsConfig) obj; if (other.getLabelingJobAlgorithmSpecificationArn() == null ^ this.getLabelingJobAlgorithmSpecificationArn() == null) return false; if (other.getLabelingJobAlgorithmSpecificationArn() != null && other.getLabelingJobAlgorithmSpecificationArn().equals(this.getLabelingJobAlgorithmSpecificationArn()) == false) return false; if (other.getInitialActiveLearningModelArn() == null ^ this.getInitialActiveLearningModelArn() == null) return false; if (other.getInitialActiveLearningModelArn() != null && other.getInitialActiveLearningModelArn().equals(this.getInitialActiveLearningModelArn()) == false) return false; if (other.getLabelingJobResourceConfig() == null ^ this.getLabelingJobResourceConfig() == null) return false; if (other.getLabelingJobResourceConfig() != null && other.getLabelingJobResourceConfig().equals(this.getLabelingJobResourceConfig()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getLabelingJobAlgorithmSpecificationArn() == null) ? 0 : getLabelingJobAlgorithmSpecificationArn().hashCode()); hashCode = prime * hashCode + ((getInitialActiveLearningModelArn() == null) ? 0 : getInitialActiveLearningModelArn().hashCode()); hashCode = prime * hashCode + ((getLabelingJobResourceConfig() == null) ? 0 : getLabelingJobResourceConfig().hashCode()); return hashCode; } @Override public LabelingJobAlgorithmsConfig clone() { try { return (LabelingJobAlgorithmsConfig) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } @com.amazonaws.annotation.SdkInternalApi @Override public void marshall(ProtocolMarshaller protocolMarshaller) { com.amazonaws.services.sagemaker.model.transform.LabelingJobAlgorithmsConfigMarshaller.getInstance().marshall(this, protocolMarshaller); } }