/* * 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; /** *

* Contains information about a training job. *

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

* The name of the training job. *

*/ private String trainingJobName; /** *

* The Amazon Resource Name (ARN) of the training job. *

*/ private String trainingJobArn; /** *

* The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a * hyperparameter tuning job. *

*/ private String tuningJobArn; /** *

* The Amazon Resource Name (ARN) of the labeling job. *

*/ private String labelingJobArn; /** *

* The Amazon Resource Name (ARN) of the job. *

*/ private String autoMLJobArn; /** *

* Information about the Amazon S3 location that is configured for storing model artifacts. *

*/ private ModelArtifacts modelArtifacts; /** *

* The status of the training job. *

* Training job statuses are: *

*
* InProgress - The training is in progress. *
*
*
* Completed - The training job has completed. *
*
*
* Failed - The training job has failed. To see the reason for the failure, see the * FailureReason field in the response to a DescribeTrainingJobResponse call. *
*
*
* Stopping - The training job is stopping. *
*
*
* Stopped - The training job has stopped. *
*

* For more detailed information, see SecondaryStatus. *

*/ private String trainingJobStatus; /** *

* Provides detailed information about the state of the training job. For detailed information about the secondary * status of the training job, see StatusMessage under SecondaryStatusTransition. *

* SageMaker provides primary statuses and secondary statuses that apply to each of them: *

InProgress

*
* Starting - Starting the training job. *
*
*
* Downloading - An optional stage for algorithms that support File training input mode. * It indicates that data is being downloaded to the ML storage volumes. *
*
*
* Training - Training is in progress. *
*
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 location. *
*

Completed

*
* Completed - The training job has completed. *
*

Failed

*
* Failed - The training job has failed. The reason for the failure is returned in the * FailureReason field of DescribeTrainingJobResponse. *
*

Stopped

*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime. *
*
*
* Stopped - The training job has stopped. *
*

Stopping

*
* Stopping - Stopping the training job. *
*

* *

* Valid values for SecondaryStatus are subject to change. *

* *

* We no longer support the following secondary statuses: *

*
* LaunchingMLInstances *
*
*
* PreparingTrainingStack *
*
*
* DownloadingTrainingImage *
*

*/ private String secondaryStatus; /** *

* If the training job failed, the reason it failed. *

*/ private String failureReason; /** *

* Algorithm-specific parameters. *

*/ private java.util.Map hyperParameters; /** *

* Information about the algorithm used for training, and algorithm metadata. *

*/ private AlgorithmSpecification algorithmSpecification; /** *

* The Amazon Web Services Identity and Access Management (IAM) role configured for the training job. *

*/ private String roleArn; /** *

* An array of Channel objects that describes each data input channel. *

* Your input must be in the same Amazon Web Services region as your training job. *

*/ private java.util.List inputDataConfig; /** *

* The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates * subfolders for model artifacts. *

*/ private OutputDataConfig outputDataConfig; /** *

* Resources, including ML compute instances and ML storage volumes, that are configured for model training. *

*/ private ResourceConfig resourceConfig; /** *

* A VpcConfig object * that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon * Virtual Private Cloud. *

*/ private VpcConfig vpcConfig; /** *

* Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training * job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap * model training costs. *

* To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for * 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training * are not lost. *

*/ private StoppingCondition stoppingCondition; /** *

* A timestamp that indicates when the training job was created. *

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

* Indicates the time when the training job starts on training instances. You are billed for the time interval * between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later * than this time. The difference is due to the time it takes to download the training data and to the size of the * training container. *

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

* Indicates the time when the training job ends on training instances. You are billed for the time interval between * the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time * after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure. *

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

* A timestamp that indicates when the status of the training job was last modified. *

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

* A history of all of the secondary statuses that the training job has transitioned through. *

*/ private java.util.List secondaryStatusTransitions; /** *

* A list of final metric values that are set when the training job completes. Used only if the training job was * configured to use metrics. *

*/ private java.util.List finalMetricDataList; /** *

* If the TrainingJob was created with network isolation, the value is set to true. If * network isolation is enabled, nodes can't communicate beyond the VPC they run in. *

*/ private Boolean enableNetworkIsolation; /** *

* To encrypt all communications between ML compute instances in distributed training, choose True. * Encryption provides greater security for distributed training, but training might take longer. How long it takes * depends on the amount of communication between compute instances, especially if you use a deep learning algorithm * in distributed training. *

*/ private Boolean enableInterContainerTrafficEncryption; /** *

* When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of * on-demand instances. For more information, see Managed Spot * Training. *

*/ private Boolean enableManagedSpotTraining; private CheckpointConfig checkpointConfig; /** *

* The training time in seconds. *

*/ private Integer trainingTimeInSeconds; /** *

* The billable time in seconds. *

*/ private Integer billableTimeInSeconds; private DebugHookConfig debugHookConfig; private ExperimentConfig experimentConfig; /** *

* Information about the debug rule configuration. *

*/ private java.util.List debugRuleConfigurations; private TensorBoardOutputConfig tensorBoardOutputConfig; /** *

* Information about the evaluation status of the rules for the training job. *

*/ private java.util.List debugRuleEvaluationStatuses; private ProfilerConfig profilerConfig; /** *

* The environment variables to set in the Docker container. *

*/ private java.util.Map environment; /** *

* The number of times to retry the job when the job fails due to an InternalServerError. *

*/ private RetryStrategy retryStrategy; /** *

* An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, * for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources. *

*/ private java.util.List tags; /** *

* The name of the training job. *

* * @param trainingJobName * The name of the training job. */ public void setTrainingJobName(String trainingJobName) { this.trainingJobName = trainingJobName; } /** *

* The name of the training job. *

* * @return The name of the training job. */ public String getTrainingJobName() { return this.trainingJobName; } /** *

* The name of the training job. *

* * @param trainingJobName * The name of the training job. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withTrainingJobName(String trainingJobName) { setTrainingJobName(trainingJobName); return this; } /** *

* The Amazon Resource Name (ARN) of the training job. *

* * @param trainingJobArn * The Amazon Resource Name (ARN) of the training job. */ public void setTrainingJobArn(String trainingJobArn) { this.trainingJobArn = trainingJobArn; } /** *

* The Amazon Resource Name (ARN) of the training job. *

* * @return The Amazon Resource Name (ARN) of the training job. */ public String getTrainingJobArn() { return this.trainingJobArn; } /** *

* The Amazon Resource Name (ARN) of the training job. *

* * @param trainingJobArn * The Amazon Resource Name (ARN) of the training job. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withTrainingJobArn(String trainingJobArn) { setTrainingJobArn(trainingJobArn); return this; } /** *

* The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a * hyperparameter tuning job. *

* * @param tuningJobArn * The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was * launched by a hyperparameter tuning job. */ public void setTuningJobArn(String tuningJobArn) { this.tuningJobArn = tuningJobArn; } /** *

* The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a * hyperparameter tuning job. *

* * @return The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was * launched by a hyperparameter tuning job. */ public String getTuningJobArn() { return this.tuningJobArn; } /** *

* The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a * hyperparameter tuning job. *

* * @param tuningJobArn * The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was * launched by a hyperparameter tuning job. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withTuningJobArn(String tuningJobArn) { setTuningJobArn(tuningJobArn); return this; } /** *

* The Amazon Resource Name (ARN) of the labeling job. *

* * @param labelingJobArn * The Amazon Resource Name (ARN) of the labeling job. */ public void setLabelingJobArn(String labelingJobArn) { this.labelingJobArn = labelingJobArn; } /** *

* The Amazon Resource Name (ARN) of the labeling job. *

* * @return The Amazon Resource Name (ARN) of the labeling job. */ public String getLabelingJobArn() { return this.labelingJobArn; } /** *

* The Amazon Resource Name (ARN) of the labeling job. *

* * @param labelingJobArn * The Amazon Resource Name (ARN) of the labeling job. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withLabelingJobArn(String labelingJobArn) { setLabelingJobArn(labelingJobArn); return this; } /** *

* The Amazon Resource Name (ARN) of the job. *

* * @param autoMLJobArn * The Amazon Resource Name (ARN) of the job. */ public void setAutoMLJobArn(String autoMLJobArn) { this.autoMLJobArn = autoMLJobArn; } /** *

* The Amazon Resource Name (ARN) of the job. *

* * @return The Amazon Resource Name (ARN) of the job. */ public String getAutoMLJobArn() { return this.autoMLJobArn; } /** *

* The Amazon Resource Name (ARN) of the job. *

* * @param autoMLJobArn * The Amazon Resource Name (ARN) of the job. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withAutoMLJobArn(String autoMLJobArn) { setAutoMLJobArn(autoMLJobArn); return this; } /** *

* Information about the Amazon S3 location that is configured for storing model artifacts. *

* * @param modelArtifacts * Information about the Amazon S3 location that is configured for storing model artifacts. */ public void setModelArtifacts(ModelArtifacts modelArtifacts) { this.modelArtifacts = modelArtifacts; } /** *

* Information about the Amazon S3 location that is configured for storing model artifacts. *

* * @return Information about the Amazon S3 location that is configured for storing model artifacts. */ public ModelArtifacts getModelArtifacts() { return this.modelArtifacts; } /** *

* Information about the Amazon S3 location that is configured for storing model artifacts. *

* * @param modelArtifacts * Information about the Amazon S3 location that is configured for storing model artifacts. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withModelArtifacts(ModelArtifacts modelArtifacts) { setModelArtifacts(modelArtifacts); return this; } /** *

* The status of the training job. *

* Training job statuses are: *

*
* InProgress - The training is in progress. *
*
*
* Completed - The training job has completed. *
*
*
* Failed - The training job has failed. To see the reason for the failure, see the * FailureReason field in the response to a DescribeTrainingJobResponse call. *
*
*
* Stopping - The training job is stopping. *
*
*
* Stopped - The training job has stopped. *
*

* For more detailed information, see SecondaryStatus. *

* * @param trainingJobStatus * The status of the training job.

* Training job statuses are: *

*
* InProgress - The training is in progress. *
*
*
* Completed - The training job has completed. *
*
*
* Failed - The training job has failed. To see the reason for the failure, see the * FailureReason field in the response to a DescribeTrainingJobResponse call. *
*
*
* Stopping - The training job is stopping. *
*
*
* Stopped - The training job has stopped. *
*

* For more detailed information, see SecondaryStatus. * @see TrainingJobStatus */ public void setTrainingJobStatus(String trainingJobStatus) { this.trainingJobStatus = trainingJobStatus; } /** *

* The status of the training job. *

* Training job statuses are: *

*
* InProgress - The training is in progress. *
*
*
* Completed - The training job has completed. *
*
*
* Failed - The training job has failed. To see the reason for the failure, see the * FailureReason field in the response to a DescribeTrainingJobResponse call. *
*
*
* Stopping - The training job is stopping. *
*
*
* Stopped - The training job has stopped. *
*

* For more detailed information, see SecondaryStatus. *

* * @return The status of the training job.

* Training job statuses are: *

*
* InProgress - The training is in progress. *
*
*
* Completed - The training job has completed. *
*
*
* Failed - The training job has failed. To see the reason for the failure, see the * FailureReason field in the response to a DescribeTrainingJobResponse call. *
*
*
* Stopping - The training job is stopping. *
*
*
* Stopped - The training job has stopped. *
*

* For more detailed information, see SecondaryStatus. * @see TrainingJobStatus */ public String getTrainingJobStatus() { return this.trainingJobStatus; } /** *

* The status of the training job. *

* Training job statuses are: *

*
* InProgress - The training is in progress. *
*
*
* Completed - The training job has completed. *
*
*
* Failed - The training job has failed. To see the reason for the failure, see the * FailureReason field in the response to a DescribeTrainingJobResponse call. *
*
*
* Stopping - The training job is stopping. *
*
*
* Stopped - The training job has stopped. *
*

* For more detailed information, see SecondaryStatus. *

* * @param trainingJobStatus * The status of the training job.

* Training job statuses are: *

*
* InProgress - The training is in progress. *
*
*
* Completed - The training job has completed. *
*
*
* Failed - The training job has failed. To see the reason for the failure, see the * FailureReason field in the response to a DescribeTrainingJobResponse call. *
*
*
* Stopping - The training job is stopping. *
*
*
* Stopped - The training job has stopped. *
*

* For more detailed information, see SecondaryStatus. * @return Returns a reference to this object so that method calls can be chained together. * @see TrainingJobStatus */ public TrainingJob withTrainingJobStatus(String trainingJobStatus) { setTrainingJobStatus(trainingJobStatus); return this; } /** *

* The status of the training job. *

* Training job statuses are: *

*
* InProgress - The training is in progress. *
*
*
* Completed - The training job has completed. *
*
*
* Failed - The training job has failed. To see the reason for the failure, see the * FailureReason field in the response to a DescribeTrainingJobResponse call. *
*
*
* Stopping - The training job is stopping. *
*
*
* Stopped - The training job has stopped. *
*

* For more detailed information, see SecondaryStatus. *

* * @param trainingJobStatus * The status of the training job.

* Training job statuses are: *

*
* InProgress - The training is in progress. *
*
*
* Completed - The training job has completed. *
*
*
* Failed - The training job has failed. To see the reason for the failure, see the * FailureReason field in the response to a DescribeTrainingJobResponse call. *
*
*
* Stopping - The training job is stopping. *
*
*
* Stopped - The training job has stopped. *
*

* For more detailed information, see SecondaryStatus. * @return Returns a reference to this object so that method calls can be chained together. * @see TrainingJobStatus */ public TrainingJob withTrainingJobStatus(TrainingJobStatus trainingJobStatus) { this.trainingJobStatus = trainingJobStatus.toString(); return this; } /** *

* Provides detailed information about the state of the training job. For detailed information about the secondary * status of the training job, see StatusMessage under SecondaryStatusTransition. *

* SageMaker provides primary statuses and secondary statuses that apply to each of them: *

InProgress

*
* Starting - Starting the training job. *
*
*
* Downloading - An optional stage for algorithms that support File training input mode. * It indicates that data is being downloaded to the ML storage volumes. *
*
*
* Training - Training is in progress. *
*
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 location. *
*

Completed

*
* Completed - The training job has completed. *
*

Failed

*
* Failed - The training job has failed. The reason for the failure is returned in the * FailureReason field of DescribeTrainingJobResponse. *
*

Stopped

*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime. *
*
*
* Stopped - The training job has stopped. *
*

Stopping

*
* Stopping - Stopping the training job. *
*

* *

* Valid values for SecondaryStatus are subject to change. *

* *

* We no longer support the following secondary statuses: *

*
* LaunchingMLInstances *
*
*
* PreparingTrainingStack *
*
*
* DownloadingTrainingImage *
*

* * @param secondaryStatus * Provides detailed information about the state of the training job. For detailed information about the * secondary status of the training job, see StatusMessage under SecondaryStatusTransition.

* SageMaker provides primary statuses and secondary statuses that apply to each of them: *

InProgress

*
* Starting - Starting the training job. *
*
*
* Downloading - An optional stage for algorithms that support File training input * mode. It indicates that data is being downloaded to the ML storage volumes. *
*
*
* Training - Training is in progress. *
*
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 * location. *
*

Completed

*
* Completed - The training job has completed. *
*

Failed

*
* Failed - The training job has failed. The reason for the failure is returned in the * FailureReason field of DescribeTrainingJobResponse. *
*

Stopped

*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime. *
*
*
* Stopped - The training job has stopped. *
*

Stopping

*
* Stopping - Stopping the training job. *
*

* *

* Valid values for SecondaryStatus are subject to change. *

* *

* We no longer support the following secondary statuses: *

*
* LaunchingMLInstances *
*
*
* PreparingTrainingStack *
*
*
* DownloadingTrainingImage *
*

* Provides detailed information about the state of the training job. For detailed information about the secondary * status of the training job, see StatusMessage under SecondaryStatusTransition. *

* SageMaker provides primary statuses and secondary statuses that apply to each of them: *

InProgress

*
* Starting - Starting the training job. *
*
*
* Downloading - An optional stage for algorithms that support File training input mode. * It indicates that data is being downloaded to the ML storage volumes. *
*
*
* Training - Training is in progress. *
*
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 location. *
*

Completed

*
* Completed - The training job has completed. *
*

Failed

*
* Failed - The training job has failed. The reason for the failure is returned in the * FailureReason field of DescribeTrainingJobResponse. *
*

Stopped

*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime. *
*
*
* Stopped - The training job has stopped. *
*

Stopping

*
* Stopping - Stopping the training job. *
*

* Valid values for SecondaryStatus are subject to change. *

* We no longer support the following secondary statuses: *

*
* LaunchingMLInstances *
*
*
* PreparingTrainingStack *
*
*
* DownloadingTrainingImage *
*

StatusMessage

SecondaryStatusTransition

* SageMaker provides primary statuses and secondary statuses that apply to each of them: *

InProgress

*
* Starting - Starting the training job. *
*
*
* Downloading - An optional stage for algorithms that support File training input * mode. It indicates that data is being downloaded to the ML storage volumes. *
*
*
* Training - Training is in progress. *
*
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 * location. *
*

Completed

*
* Completed - The training job has completed. *
*

Failed

*
* Failed - The training job has failed. The reason for the failure is returned in the * FailureReason field of DescribeTrainingJobResponse. *
*

Stopped

*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime. *
*
*
* Stopped - The training job has stopped. *
*

Stopping

*
* Stopping - Stopping the training job. *
*

* Valid values for SecondaryStatus are subject to change. *

* We no longer support the following secondary statuses: *

*
* LaunchingMLInstances *
*
*
* PreparingTrainingStack *
*
*
* DownloadingTrainingImage *
*

* Provides detailed information about the state of the training job. For detailed information about the secondary * status of the training job, see StatusMessage under SecondaryStatusTransition. *

* SageMaker provides primary statuses and secondary statuses that apply to each of them: *

InProgress

*
* Starting - Starting the training job. *
*
*
* Downloading - An optional stage for algorithms that support File training input mode. * It indicates that data is being downloaded to the ML storage volumes. *
*
*
* Training - Training is in progress. *
*
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 location. *
*

Completed

*
* Completed - The training job has completed. *
*

Failed

*
* Failed - The training job has failed. The reason for the failure is returned in the * FailureReason field of DescribeTrainingJobResponse. *
*

Stopped

*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime. *
*
*
* Stopped - The training job has stopped. *
*

Stopping

*
* Stopping - Stopping the training job. *
*

* Valid values for SecondaryStatus are subject to change. *

* We no longer support the following secondary statuses: *

*
* LaunchingMLInstances *
*
*
* PreparingTrainingStack *
*
*
* DownloadingTrainingImage *
*

StatusMessage

SecondaryStatusTransition

* SageMaker provides primary statuses and secondary statuses that apply to each of them: *

InProgress

*
* Starting - Starting the training job. *
*
*
* Downloading - An optional stage for algorithms that support File training input * mode. It indicates that data is being downloaded to the ML storage volumes. *
*
*
* Training - Training is in progress. *
*
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 * location. *
*

Completed

*
* Completed - The training job has completed. *
*

Failed

*
* Failed - The training job has failed. The reason for the failure is returned in the * FailureReason field of DescribeTrainingJobResponse. *
*

Stopped

*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime. *
*
*
* Stopped - The training job has stopped. *
*

Stopping

*
* Stopping - Stopping the training job. *
*

* Valid values for SecondaryStatus are subject to change. *

* We no longer support the following secondary statuses: *

*
* LaunchingMLInstances *
*
*
* PreparingTrainingStack *
*
*
* DownloadingTrainingImage *
*

* Provides detailed information about the state of the training job. For detailed information about the secondary * status of the training job, see StatusMessage under SecondaryStatusTransition. *

* SageMaker provides primary statuses and secondary statuses that apply to each of them: *

InProgress

*
* Starting - Starting the training job. *
*
*
* Downloading - An optional stage for algorithms that support File training input mode. * It indicates that data is being downloaded to the ML storage volumes. *
*
*
* Training - Training is in progress. *
*
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 location. *
*

Completed

*
* Completed - The training job has completed. *
*

Failed

*
* Failed - The training job has failed. The reason for the failure is returned in the * FailureReason field of DescribeTrainingJobResponse. *
*

Stopped

*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime. *
*
*
* Stopped - The training job has stopped. *
*

Stopping

*
* Stopping - Stopping the training job. *
*

* Valid values for SecondaryStatus are subject to change. *

* We no longer support the following secondary statuses: *

*
* LaunchingMLInstances *
*
*
* PreparingTrainingStack *
*
*
* DownloadingTrainingImage *
*

StatusMessage

SecondaryStatusTransition

* SageMaker provides primary statuses and secondary statuses that apply to each of them: *

InProgress

*
* Starting - Starting the training job. *
*
*
* Downloading - An optional stage for algorithms that support File training input * mode. It indicates that data is being downloaded to the ML storage volumes. *
*
*
* Training - Training is in progress. *
*
*
* Uploading - Training is complete and the model artifacts are being uploaded to the S3 * location. *
*

Completed

*
* Completed - The training job has completed. *
*

Failed

*
* Failed - The training job has failed. The reason for the failure is returned in the * FailureReason field of DescribeTrainingJobResponse. *
*

Stopped

*
* MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime. *
*
*
* Stopped - The training job has stopped. *
*

Stopping

*
* Stopping - Stopping the training job. *
*

* Valid values for SecondaryStatus are subject to change. *

* We no longer support the following secondary statuses: *

*
* LaunchingMLInstances *
*
*
* PreparingTrainingStack *
*
*
* DownloadingTrainingImage *
*

* If the training job failed, the reason it failed. *

* Algorithm-specific parameters. *

getHyperParameters() { return hyperParameters; } /** *

* Algorithm-specific parameters. *

* * @param hyperParameters * Algorithm-specific parameters. */ public void setHyperParameters(java.util.Map hyperParameters) { this.hyperParameters = hyperParameters; } /** *

* Algorithm-specific parameters. *

* * @param hyperParameters * Algorithm-specific parameters. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withHyperParameters(java.util.Map hyperParameters) { setHyperParameters(hyperParameters); return this; } /** * Add a single HyperParameters entry * * @see TrainingJob#withHyperParameters * @returns a reference to this object so that method calls can be chained together. */ public TrainingJob addHyperParametersEntry(String key, String value) { if (null == this.hyperParameters) { this.hyperParameters = new java.util.HashMap(); } if (this.hyperParameters.containsKey(key)) throw new IllegalArgumentException("Duplicated keys (" + key.toString() + ") are provided."); this.hyperParameters.put(key, value); return this; } /** * Removes all the entries added into HyperParameters. * * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob clearHyperParametersEntries() { this.hyperParameters = null; return this; } /** *

* Information about the algorithm used for training, and algorithm metadata. *

* * @param algorithmSpecification * Information about the algorithm used for training, and algorithm metadata. */ public void setAlgorithmSpecification(AlgorithmSpecification algorithmSpecification) { this.algorithmSpecification = algorithmSpecification; } /** *

* Information about the algorithm used for training, and algorithm metadata. *

* * @return Information about the algorithm used for training, and algorithm metadata. */ public AlgorithmSpecification getAlgorithmSpecification() { return this.algorithmSpecification; } /** *

* Information about the algorithm used for training, and algorithm metadata. *

* * @param algorithmSpecification * Information about the algorithm used for training, and algorithm metadata. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withAlgorithmSpecification(AlgorithmSpecification algorithmSpecification) { setAlgorithmSpecification(algorithmSpecification); return this; } /** *

* The Amazon Web Services Identity and Access Management (IAM) role configured for the training job. *

* * @param roleArn * The Amazon Web Services Identity and Access Management (IAM) role configured for the training job. */ public void setRoleArn(String roleArn) { this.roleArn = roleArn; } /** *

* The Amazon Web Services Identity and Access Management (IAM) role configured for the training job. *

* * @return The Amazon Web Services Identity and Access Management (IAM) role configured for the training job. */ public String getRoleArn() { return this.roleArn; } /** *

* The Amazon Web Services Identity and Access Management (IAM) role configured for the training job. *

* * @param roleArn * The Amazon Web Services Identity and Access Management (IAM) role configured for the training job. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withRoleArn(String roleArn) { setRoleArn(roleArn); return this; } /** *

* An array of Channel objects that describes each data input channel. *

* Your input must be in the same Amazon Web Services region as your training job. *

* * @return An array of Channel objects that describes each data input channel.

* Your input must be in the same Amazon Web Services region as your training job. */ public java.util.List getInputDataConfig() { return inputDataConfig; } /** *

* An array of Channel objects that describes each data input channel. *

* Your input must be in the same Amazon Web Services region as your training job. *

* * @param inputDataConfig * An array of Channel objects that describes each data input channel.

* Your input must be in the same Amazon Web Services region as your training job. */ public void setInputDataConfig(java.util.Collection inputDataConfig) { if (inputDataConfig == null) { this.inputDataConfig = null; return; } this.inputDataConfig = new java.util.ArrayList(inputDataConfig); } /** *

* An array of Channel objects that describes each data input channel. *

* Your input must be in the same Amazon Web Services region as your training job. *

* NOTE: This method appends the values to the existing list (if any). Use * {@link #setInputDataConfig(java.util.Collection)} or {@link #withInputDataConfig(java.util.Collection)} if you * want to override the existing values. *

* * @param inputDataConfig * An array of Channel objects that describes each data input channel.

* Your input must be in the same Amazon Web Services region as your training job. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withInputDataConfig(Channel... inputDataConfig) { if (this.inputDataConfig == null) { setInputDataConfig(new java.util.ArrayList(inputDataConfig.length)); } for (Channel ele : inputDataConfig) { this.inputDataConfig.add(ele); } return this; } /** *

* An array of Channel objects that describes each data input channel. *

* Your input must be in the same Amazon Web Services region as your training job. *

* * @param inputDataConfig * An array of Channel objects that describes each data input channel.

* Your input must be in the same Amazon Web Services region as your training job. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withInputDataConfig(java.util.Collection inputDataConfig) { setInputDataConfig(inputDataConfig); return this; } /** *

* The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates * subfolders for model artifacts. *

* * @param outputDataConfig * The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates * subfolders for model artifacts. */ public void setOutputDataConfig(OutputDataConfig outputDataConfig) { this.outputDataConfig = outputDataConfig; } /** *

* The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates * subfolders for model artifacts. *

* * @return The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates * subfolders for model artifacts. */ public OutputDataConfig getOutputDataConfig() { return this.outputDataConfig; } /** *

* The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates * subfolders for model artifacts. *

* * @param outputDataConfig * The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates * subfolders for model artifacts. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withOutputDataConfig(OutputDataConfig outputDataConfig) { setOutputDataConfig(outputDataConfig); return this; } /** *

* Resources, including ML compute instances and ML storage volumes, that are configured for model training. *

* * @param resourceConfig * Resources, including ML compute instances and ML storage volumes, that are configured for model training. */ public void setResourceConfig(ResourceConfig resourceConfig) { this.resourceConfig = resourceConfig; } /** *

* Resources, including ML compute instances and ML storage volumes, that are configured for model training. *

* * @return Resources, including ML compute instances and ML storage volumes, that are configured for model training. */ public ResourceConfig getResourceConfig() { return this.resourceConfig; } /** *

* Resources, including ML compute instances and ML storage volumes, that are configured for model training. *

* * @param resourceConfig * Resources, including ML compute instances and ML storage volumes, that are configured for model training. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withResourceConfig(ResourceConfig resourceConfig) { setResourceConfig(resourceConfig); return this; } /** *

* A VpcConfig object * that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon * Virtual Private Cloud. *

* * @param vpcConfig * A VpcConfig * object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an * Amazon Virtual Private Cloud. */ public void setVpcConfig(VpcConfig vpcConfig) { this.vpcConfig = vpcConfig; } /** *

* A VpcConfig object * that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon * Virtual Private Cloud. *

* * @return A VpcConfig * object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an * Amazon Virtual Private Cloud. */ public VpcConfig getVpcConfig() { return this.vpcConfig; } /** *

* A VpcConfig object * that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon * Virtual Private Cloud. *

* * @param vpcConfig * A VpcConfig * object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an * Amazon Virtual Private Cloud. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withVpcConfig(VpcConfig vpcConfig) { setVpcConfig(vpcConfig); return this; } /** *

* * @param stoppingCondition * Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot * training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use * this API to cap model training costs.

* To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination * for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of * training are not lost. */ public void setStoppingCondition(StoppingCondition stoppingCondition) { this.stoppingCondition = stoppingCondition; } /** *

* * @return Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot * training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use * this API to cap model training costs.

* To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job * termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so * the results of training are not lost. */ public StoppingCondition getStoppingCondition() { return this.stoppingCondition; } /** *

* To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination * for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of * training are not lost. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withStoppingCondition(StoppingCondition stoppingCondition) { setStoppingCondition(stoppingCondition); return this; } /** *

* A timestamp that indicates when the training job was created. *

* * @param creationTime * A timestamp that indicates when the training job was created. */ public void setCreationTime(java.util.Date creationTime) { this.creationTime = creationTime; } /** *

* A timestamp that indicates when the training job was created. *

* * @return A timestamp that indicates when the training job was created. */ public java.util.Date getCreationTime() { return this.creationTime; } /** *

* A timestamp that indicates when the training job was created. *

* * @param creationTime * A timestamp that indicates when the training job was created. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withCreationTime(java.util.Date creationTime) { setCreationTime(creationTime); return this; } /** *

* * @param trainingStartTime * Indicates the time when the training job starts on training instances. You are billed for the time * interval between this time and the value of TrainingEndTime. The start time in CloudWatch * Logs might be later than this time. The difference is due to the time it takes to download the training * data and to the size of the training container. */ public void setTrainingStartTime(java.util.Date trainingStartTime) { this.trainingStartTime = trainingStartTime; } /** *

* * @return Indicates the time when the training job starts on training instances. You are billed for the time * interval between this time and the value of TrainingEndTime. The start time in CloudWatch * Logs might be later than this time. The difference is due to the time it takes to download the training * data and to the size of the training container. */ public java.util.Date getTrainingStartTime() { return this.trainingStartTime; } /** *

* * @param trainingStartTime * Indicates the time when the training job starts on training instances. You are billed for the time * interval between this time and the value of TrainingEndTime. The start time in CloudWatch * Logs might be later than this time. The difference is due to the time it takes to download the training * data and to the size of the training container. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withTrainingStartTime(java.util.Date trainingStartTime) { setTrainingStartTime(trainingStartTime); return this; } /** *

* * @param trainingEndTime * Indicates the time when the training job ends on training instances. You are billed for the time interval * between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, * this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker * detects a job failure. */ public void setTrainingEndTime(java.util.Date trainingEndTime) { this.trainingEndTime = trainingEndTime; } /** *

* * @return Indicates the time when the training job ends on training instances. You are billed for the time interval * between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, * this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker * detects a job failure. */ public java.util.Date getTrainingEndTime() { return this.trainingEndTime; } /** *

* * @param trainingEndTime * Indicates the time when the training job ends on training instances. You are billed for the time interval * between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, * this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker * detects a job failure. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withTrainingEndTime(java.util.Date trainingEndTime) { setTrainingEndTime(trainingEndTime); return this; } /** *

* A timestamp that indicates when the status of the training job was last modified. *

* * @param lastModifiedTime * A timestamp that indicates when the status of the training job was last modified. */ public void setLastModifiedTime(java.util.Date lastModifiedTime) { this.lastModifiedTime = lastModifiedTime; } /** *

* A timestamp that indicates when the status of the training job was last modified. *

* * @return A timestamp that indicates when the status of the training job was last modified. */ public java.util.Date getLastModifiedTime() { return this.lastModifiedTime; } /** *

* A timestamp that indicates when the status of the training job was last modified. *

* * @param lastModifiedTime * A timestamp that indicates when the status of the training job was last modified. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withLastModifiedTime(java.util.Date lastModifiedTime) { setLastModifiedTime(lastModifiedTime); return this; } /** *

* A history of all of the secondary statuses that the training job has transitioned through. *

* * @return A history of all of the secondary statuses that the training job has transitioned through. */ public java.util.List getSecondaryStatusTransitions() { return secondaryStatusTransitions; } /** *

* A history of all of the secondary statuses that the training job has transitioned through. *

* * @param secondaryStatusTransitions * A history of all of the secondary statuses that the training job has transitioned through. */ public void setSecondaryStatusTransitions(java.util.Collection secondaryStatusTransitions) { if (secondaryStatusTransitions == null) { this.secondaryStatusTransitions = null; return; } this.secondaryStatusTransitions = new java.util.ArrayList(secondaryStatusTransitions); } /** *

* A history of all of the secondary statuses that the training job has transitioned through. *

* NOTE: This method appends the values to the existing list (if any). Use * {@link #setSecondaryStatusTransitions(java.util.Collection)} or * {@link #withSecondaryStatusTransitions(java.util.Collection)} if you want to override the existing values. *

* * @param secondaryStatusTransitions * A history of all of the secondary statuses that the training job has transitioned through. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withSecondaryStatusTransitions(SecondaryStatusTransition... secondaryStatusTransitions) { if (this.secondaryStatusTransitions == null) { setSecondaryStatusTransitions(new java.util.ArrayList(secondaryStatusTransitions.length)); } for (SecondaryStatusTransition ele : secondaryStatusTransitions) { this.secondaryStatusTransitions.add(ele); } return this; } /** *

* A history of all of the secondary statuses that the training job has transitioned through. *

* A list of final metric values that are set when the training job completes. Used only if the training job was * configured to use metrics. *

* * @return A list of final metric values that are set when the training job completes. Used only if the training job * was configured to use metrics. */ public java.util.List getFinalMetricDataList() { return finalMetricDataList; } /** *

* A list of final metric values that are set when the training job completes. Used only if the training job was * configured to use metrics. *

* * @param finalMetricDataList * A list of final metric values that are set when the training job completes. Used only if the training job * was configured to use metrics. */ public void setFinalMetricDataList(java.util.Collection finalMetricDataList) { if (finalMetricDataList == null) { this.finalMetricDataList = null; return; } this.finalMetricDataList = new java.util.ArrayList(finalMetricDataList); } /** *

* A list of final metric values that are set when the training job completes. Used only if the training job was * configured to use metrics. *

* NOTE: This method appends the values to the existing list (if any). Use * {@link #setFinalMetricDataList(java.util.Collection)} or {@link #withFinalMetricDataList(java.util.Collection)} * if you want to override the existing values. *

* * @param finalMetricDataList * A list of final metric values that are set when the training job completes. Used only if the training job * was configured to use metrics. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withFinalMetricDataList(MetricData... finalMetricDataList) { if (this.finalMetricDataList == null) { setFinalMetricDataList(new java.util.ArrayList(finalMetricDataList.length)); } for (MetricData ele : finalMetricDataList) { this.finalMetricDataList.add(ele); } return this; } /** *

* A list of final metric values that are set when the training job completes. Used only if the training job was * configured to use metrics. *

* * @param finalMetricDataList * A list of final metric values that are set when the training job completes. Used only if the training job * was configured to use metrics. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withFinalMetricDataList(java.util.Collection finalMetricDataList) { setFinalMetricDataList(finalMetricDataList); return this; } /** *

* If the TrainingJob was created with network isolation, the value is set to true. If * network isolation is enabled, nodes can't communicate beyond the VPC they run in. *

* * @param enableNetworkIsolation * If the TrainingJob was created with network isolation, the value is set to true. * If network isolation is enabled, nodes can't communicate beyond the VPC they run in. */ public void setEnableNetworkIsolation(Boolean enableNetworkIsolation) { this.enableNetworkIsolation = enableNetworkIsolation; } /** *

* If the TrainingJob was created with network isolation, the value is set to true. If * network isolation is enabled, nodes can't communicate beyond the VPC they run in. *

* * @return If the TrainingJob was created with network isolation, the value is set to true * . If network isolation is enabled, nodes can't communicate beyond the VPC they run in. */ public Boolean getEnableNetworkIsolation() { return this.enableNetworkIsolation; } /** *

* If the TrainingJob was created with network isolation, the value is set to true. If * network isolation is enabled, nodes can't communicate beyond the VPC they run in. *

* * @param enableNetworkIsolation * If the TrainingJob was created with network isolation, the value is set to true. * If network isolation is enabled, nodes can't communicate beyond the VPC they run in. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withEnableNetworkIsolation(Boolean enableNetworkIsolation) { setEnableNetworkIsolation(enableNetworkIsolation); return this; } /** *

* If the TrainingJob was created with network isolation, the value is set to true. If * network isolation is enabled, nodes can't communicate beyond the VPC they run in. *

* * @return If the TrainingJob was created with network isolation, the value is set to true * . If network isolation is enabled, nodes can't communicate beyond the VPC they run in. */ public Boolean isEnableNetworkIsolation() { return this.enableNetworkIsolation; } /** *

* * @param enableInterContainerTrafficEncryption * To encrypt all communications between ML compute instances in distributed training, choose * True. Encryption provides greater security for distributed training, but training might take * longer. How long it takes depends on the amount of communication between compute instances, especially if * you use a deep learning algorithm in distributed training. */ public void setEnableInterContainerTrafficEncryption(Boolean enableInterContainerTrafficEncryption) { this.enableInterContainerTrafficEncryption = enableInterContainerTrafficEncryption; } /** *

* * @return To encrypt all communications between ML compute instances in distributed training, choose * True. Encryption provides greater security for distributed training, but training might take * longer. How long it takes depends on the amount of communication between compute instances, especially if * you use a deep learning algorithm in distributed training. */ public Boolean getEnableInterContainerTrafficEncryption() { return this.enableInterContainerTrafficEncryption; } /** *

* * @param enableInterContainerTrafficEncryption * To encrypt all communications between ML compute instances in distributed training, choose * True. Encryption provides greater security for distributed training, but training might take * longer. How long it takes depends on the amount of communication between compute instances, especially if * you use a deep learning algorithm in distributed training. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withEnableInterContainerTrafficEncryption(Boolean enableInterContainerTrafficEncryption) { setEnableInterContainerTrafficEncryption(enableInterContainerTrafficEncryption); return this; } /** *

* * @return To encrypt all communications between ML compute instances in distributed training, choose * True. Encryption provides greater security for distributed training, but training might take * longer. How long it takes depends on the amount of communication between compute instances, especially if * you use a deep learning algorithm in distributed training. */ public Boolean isEnableInterContainerTrafficEncryption() { return this.enableInterContainerTrafficEncryption; } /** *

* When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of * on-demand instances. For more information, see Managed Spot * Training. *

* * @param enableManagedSpotTraining * When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of * on-demand instances. For more information, see Managed Spot * Training. */ public void setEnableManagedSpotTraining(Boolean enableManagedSpotTraining) { this.enableManagedSpotTraining = enableManagedSpotTraining; } /** *

* When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of * on-demand instances. For more information, see Managed Spot * Training. *

* * @param enableManagedSpotTraining * When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of * on-demand instances. For more information, see Managed Spot * Training. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withEnableManagedSpotTraining(Boolean enableManagedSpotTraining) { setEnableManagedSpotTraining(enableManagedSpotTraining); return this; } /** *

* When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of * on-demand instances. For more information, see Managed Spot * Training. *

* * @return When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of * on-demand instances. For more information, see Managed Spot * Training. */ public Boolean isEnableManagedSpotTraining() { return this.enableManagedSpotTraining; } /** * @param checkpointConfig */ public void setCheckpointConfig(CheckpointConfig checkpointConfig) { this.checkpointConfig = checkpointConfig; } /** * @return */ public CheckpointConfig getCheckpointConfig() { return this.checkpointConfig; } /** * @param checkpointConfig * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withCheckpointConfig(CheckpointConfig checkpointConfig) { setCheckpointConfig(checkpointConfig); return this; } /** *

* The training time in seconds. *

* * @param trainingTimeInSeconds * The training time in seconds. */ public void setTrainingTimeInSeconds(Integer trainingTimeInSeconds) { this.trainingTimeInSeconds = trainingTimeInSeconds; } /** *

* The training time in seconds. *

* * @return The training time in seconds. */ public Integer getTrainingTimeInSeconds() { return this.trainingTimeInSeconds; } /** *

* The training time in seconds. *

* * @param trainingTimeInSeconds * The training time in seconds. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withTrainingTimeInSeconds(Integer trainingTimeInSeconds) { setTrainingTimeInSeconds(trainingTimeInSeconds); return this; } /** *

* The billable time in seconds. *

* * @param billableTimeInSeconds * The billable time in seconds. */ public void setBillableTimeInSeconds(Integer billableTimeInSeconds) { this.billableTimeInSeconds = billableTimeInSeconds; } /** *

* The billable time in seconds. *

* * @return The billable time in seconds. */ public Integer getBillableTimeInSeconds() { return this.billableTimeInSeconds; } /** *

* The billable time in seconds. *

* * @param billableTimeInSeconds * The billable time in seconds. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withBillableTimeInSeconds(Integer billableTimeInSeconds) { setBillableTimeInSeconds(billableTimeInSeconds); return this; } /** * @param debugHookConfig */ public void setDebugHookConfig(DebugHookConfig debugHookConfig) { this.debugHookConfig = debugHookConfig; } /** * @return */ public DebugHookConfig getDebugHookConfig() { return this.debugHookConfig; } /** * @param debugHookConfig * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withDebugHookConfig(DebugHookConfig debugHookConfig) { setDebugHookConfig(debugHookConfig); return this; } /** * @param experimentConfig */ public void setExperimentConfig(ExperimentConfig experimentConfig) { this.experimentConfig = experimentConfig; } /** * @return */ public ExperimentConfig getExperimentConfig() { return this.experimentConfig; } /** * @param experimentConfig * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withExperimentConfig(ExperimentConfig experimentConfig) { setExperimentConfig(experimentConfig); return this; } /** *

* Information about the debug rule configuration. *

* * @return Information about the debug rule configuration. */ public java.util.List getDebugRuleConfigurations() { return debugRuleConfigurations; } /** *

* Information about the debug rule configuration. *

* * @param debugRuleConfigurations * Information about the debug rule configuration. */ public void setDebugRuleConfigurations(java.util.Collection debugRuleConfigurations) { if (debugRuleConfigurations == null) { this.debugRuleConfigurations = null; return; } this.debugRuleConfigurations = new java.util.ArrayList(debugRuleConfigurations); } /** *

* Information about the debug rule configuration. *

* NOTE: This method appends the values to the existing list (if any). Use * {@link #setDebugRuleConfigurations(java.util.Collection)} or * {@link #withDebugRuleConfigurations(java.util.Collection)} if you want to override the existing values. *

* Information about the debug rule configuration. *

* * @param debugRuleConfigurations * Information about the debug rule configuration. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withDebugRuleConfigurations(java.util.Collection debugRuleConfigurations) { setDebugRuleConfigurations(debugRuleConfigurations); return this; } /** * @param tensorBoardOutputConfig */ public void setTensorBoardOutputConfig(TensorBoardOutputConfig tensorBoardOutputConfig) { this.tensorBoardOutputConfig = tensorBoardOutputConfig; } /** * @return */ public TensorBoardOutputConfig getTensorBoardOutputConfig() { return this.tensorBoardOutputConfig; } /** * @param tensorBoardOutputConfig * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withTensorBoardOutputConfig(TensorBoardOutputConfig tensorBoardOutputConfig) { setTensorBoardOutputConfig(tensorBoardOutputConfig); return this; } /** *

* Information about the evaluation status of the rules for the training job. *

* * @return Information about the evaluation status of the rules for the training job. */ public java.util.List getDebugRuleEvaluationStatuses() { return debugRuleEvaluationStatuses; } /** *

* Information about the evaluation status of the rules for the training job. *

* * @param debugRuleEvaluationStatuses * Information about the evaluation status of the rules for the training job. */ public void setDebugRuleEvaluationStatuses(java.util.Collection debugRuleEvaluationStatuses) { if (debugRuleEvaluationStatuses == null) { this.debugRuleEvaluationStatuses = null; return; } this.debugRuleEvaluationStatuses = new java.util.ArrayList(debugRuleEvaluationStatuses); } /** *

* Information about the evaluation status of the rules for the training job. *

* NOTE: This method appends the values to the existing list (if any). Use * {@link #setDebugRuleEvaluationStatuses(java.util.Collection)} or * {@link #withDebugRuleEvaluationStatuses(java.util.Collection)} if you want to override the existing values. *

* Information about the evaluation status of the rules for the training job. *

* * @param debugRuleEvaluationStatuses * Information about the evaluation status of the rules for the training job. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withDebugRuleEvaluationStatuses(java.util.Collection debugRuleEvaluationStatuses) { setDebugRuleEvaluationStatuses(debugRuleEvaluationStatuses); return this; } /** * @param profilerConfig */ public void setProfilerConfig(ProfilerConfig profilerConfig) { this.profilerConfig = profilerConfig; } /** * @return */ public ProfilerConfig getProfilerConfig() { return this.profilerConfig; } /** * @param profilerConfig * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withProfilerConfig(ProfilerConfig profilerConfig) { setProfilerConfig(profilerConfig); return this; } /** *

* The environment variables to set in the Docker container. *

* * @return The environment variables to set in the Docker container. */ public java.util.Map getEnvironment() { return environment; } /** *

* The environment variables to set in the Docker container. *

* * @param environment * The environment variables to set in the Docker container. */ public void setEnvironment(java.util.Map environment) { this.environment = environment; } /** *

* The environment variables to set in the Docker container. *

* * @param environment * The environment variables to set in the Docker container. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withEnvironment(java.util.Map environment) { setEnvironment(environment); return this; } /** * Add a single Environment entry * * @see TrainingJob#withEnvironment * @returns a reference to this object so that method calls can be chained together. */ public TrainingJob addEnvironmentEntry(String key, String value) { if (null == this.environment) { this.environment = new java.util.HashMap(); } if (this.environment.containsKey(key)) throw new IllegalArgumentException("Duplicated keys (" + key.toString() + ") are provided."); this.environment.put(key, value); return this; } /** * Removes all the entries added into Environment. * * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob clearEnvironmentEntries() { this.environment = null; return this; } /** *

* The number of times to retry the job when the job fails due to an InternalServerError. *

* * @param retryStrategy * The number of times to retry the job when the job fails due to an InternalServerError. */ public void setRetryStrategy(RetryStrategy retryStrategy) { this.retryStrategy = retryStrategy; } /** *

* The number of times to retry the job when the job fails due to an InternalServerError. *

* * @return The number of times to retry the job when the job fails due to an InternalServerError. */ public RetryStrategy getRetryStrategy() { return this.retryStrategy; } /** *

* The number of times to retry the job when the job fails due to an InternalServerError. *

* * @param retryStrategy * The number of times to retry the job when the job fails due to an InternalServerError. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withRetryStrategy(RetryStrategy retryStrategy) { setRetryStrategy(retryStrategy); return this; } /** *

* * @return An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in * different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services * Resources. */ public java.util.List getTags() { return tags; } /** *

* * @param tags * An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in * different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services * Resources. */ public void setTags(java.util.Collection tags) { if (tags == null) { this.tags = null; return; } this.tags = new java.util.ArrayList(tags); } /** *

* NOTE: This method appends the values to the existing list (if any). Use * {@link #setTags(java.util.Collection)} or {@link #withTags(java.util.Collection)} if you want to override the * existing values. *

* * @param tags * An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in * different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services * Resources. * @return Returns a reference to this object so that method calls can be chained together. */ public TrainingJob withTags(java.util.Collection tags) { setTags(tags); 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 (getTrainingJobName() != null) sb.append("TrainingJobName: ").append(getTrainingJobName()).append(","); if (getTrainingJobArn() != null) sb.append("TrainingJobArn: ").append(getTrainingJobArn()).append(","); if (getTuningJobArn() != null) sb.append("TuningJobArn: ").append(getTuningJobArn()).append(","); if (getLabelingJobArn() != null) sb.append("LabelingJobArn: ").append(getLabelingJobArn()).append(","); if (getAutoMLJobArn() != null) sb.append("AutoMLJobArn: ").append(getAutoMLJobArn()).append(","); if (getModelArtifacts() != null) sb.append("ModelArtifacts: ").append(getModelArtifacts()).append(","); if (getTrainingJobStatus() != null) sb.append("TrainingJobStatus: ").append(getTrainingJobStatus()).append(","); if (getSecondaryStatus() != null) sb.append("SecondaryStatus: ").append(getSecondaryStatus()).append(","); if (getFailureReason() != null) sb.append("FailureReason: ").append(getFailureReason()).append(","); if (getHyperParameters() != null) sb.append("HyperParameters: ").append(getHyperParameters()).append(","); if (getAlgorithmSpecification() != null) sb.append("AlgorithmSpecification: ").append(getAlgorithmSpecification()).append(","); if (getRoleArn() != null) sb.append("RoleArn: ").append(getRoleArn()).append(","); if (getInputDataConfig() != null) sb.append("InputDataConfig: ").append(getInputDataConfig()).append(","); if (getOutputDataConfig() != null) sb.append("OutputDataConfig: ").append(getOutputDataConfig()).append(","); if (getResourceConfig() != null) sb.append("ResourceConfig: ").append(getResourceConfig()).append(","); if (getVpcConfig() != null) sb.append("VpcConfig: ").append(getVpcConfig()).append(","); if (getStoppingCondition() != null) sb.append("StoppingCondition: ").append(getStoppingCondition()).append(","); if (getCreationTime() != null) sb.append("CreationTime: ").append(getCreationTime()).append(","); if (getTrainingStartTime() != null) sb.append("TrainingStartTime: ").append(getTrainingStartTime()).append(","); if (getTrainingEndTime() != null) sb.append("TrainingEndTime: ").append(getTrainingEndTime()).append(","); if (getLastModifiedTime() != null) sb.append("LastModifiedTime: ").append(getLastModifiedTime()).append(","); if (getSecondaryStatusTransitions() != null) sb.append("SecondaryStatusTransitions: ").append(getSecondaryStatusTransitions()).append(","); if (getFinalMetricDataList() != null) sb.append("FinalMetricDataList: ").append(getFinalMetricDataList()).append(","); if (getEnableNetworkIsolation() != null) sb.append("EnableNetworkIsolation: ").append(getEnableNetworkIsolation()).append(","); if (getEnableInterContainerTrafficEncryption() != null) sb.append("EnableInterContainerTrafficEncryption: ").append(getEnableInterContainerTrafficEncryption()).append(","); if (getEnableManagedSpotTraining() != null) sb.append("EnableManagedSpotTraining: ").append(getEnableManagedSpotTraining()).append(","); if (getCheckpointConfig() != null) sb.append("CheckpointConfig: ").append(getCheckpointConfig()).append(","); if (getTrainingTimeInSeconds() != null) sb.append("TrainingTimeInSeconds: ").append(getTrainingTimeInSeconds()).append(","); if (getBillableTimeInSeconds() != null) sb.append("BillableTimeInSeconds: ").append(getBillableTimeInSeconds()).append(","); if (getDebugHookConfig() != null) sb.append("DebugHookConfig: ").append(getDebugHookConfig()).append(","); if (getExperimentConfig() != null) sb.append("ExperimentConfig: ").append(getExperimentConfig()).append(","); if (getDebugRuleConfigurations() != null) sb.append("DebugRuleConfigurations: ").append(getDebugRuleConfigurations()).append(","); if (getTensorBoardOutputConfig() != null) sb.append("TensorBoardOutputConfig: ").append(getTensorBoardOutputConfig()).append(","); if (getDebugRuleEvaluationStatuses() != null) sb.append("DebugRuleEvaluationStatuses: ").append(getDebugRuleEvaluationStatuses()).append(","); if (getProfilerConfig() != null) sb.append("ProfilerConfig: ").append(getProfilerConfig()).append(","); if (getEnvironment() != null) sb.append("Environment: ").append(getEnvironment()).append(","); if (getRetryStrategy() != null) sb.append("RetryStrategy: ").append(getRetryStrategy()).append(","); if (getTags() != null) sb.append("Tags: ").append(getTags()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof TrainingJob == false) return false; TrainingJob other = (TrainingJob) obj; if (other.getTrainingJobName() == null ^ this.getTrainingJobName() == null) return false; if (other.getTrainingJobName() != null && other.getTrainingJobName().equals(this.getTrainingJobName()) == false) return false; if (other.getTrainingJobArn() == null ^ this.getTrainingJobArn() == null) return false; if (other.getTrainingJobArn() != null && other.getTrainingJobArn().equals(this.getTrainingJobArn()) == false) return false; if (other.getTuningJobArn() == null ^ this.getTuningJobArn() == null) return false; if (other.getTuningJobArn() != null && other.getTuningJobArn().equals(this.getTuningJobArn()) == false) return false; if (other.getLabelingJobArn() == null ^ this.getLabelingJobArn() == null) return false; if (other.getLabelingJobArn() != null && other.getLabelingJobArn().equals(this.getLabelingJobArn()) == false) return false; if (other.getAutoMLJobArn() == null ^ this.getAutoMLJobArn() == null) return false; if (other.getAutoMLJobArn() != null && other.getAutoMLJobArn().equals(this.getAutoMLJobArn()) == false) return false; if (other.getModelArtifacts() == null ^ this.getModelArtifacts() == null) return false; if (other.getModelArtifacts() != null && other.getModelArtifacts().equals(this.getModelArtifacts()) == false) return false; if (other.getTrainingJobStatus() == null ^ this.getTrainingJobStatus() == null) return false; if (other.getTrainingJobStatus() != null && other.getTrainingJobStatus().equals(this.getTrainingJobStatus()) == false) return false; if (other.getSecondaryStatus() == null ^ this.getSecondaryStatus() == null) return false; if (other.getSecondaryStatus() != null && other.getSecondaryStatus().equals(this.getSecondaryStatus()) == false) return false; if (other.getFailureReason() == null ^ this.getFailureReason() == null) return false; if (other.getFailureReason() != null && other.getFailureReason().equals(this.getFailureReason()) == false) return false; if (other.getHyperParameters() == null ^ this.getHyperParameters() == null) return false; if (other.getHyperParameters() != null && other.getHyperParameters().equals(this.getHyperParameters()) == false) return false; if (other.getAlgorithmSpecification() == null ^ this.getAlgorithmSpecification() == null) return false; if (other.getAlgorithmSpecification() != null && other.getAlgorithmSpecification().equals(this.getAlgorithmSpecification()) == false) return false; if (other.getRoleArn() == null ^ this.getRoleArn() == null) return false; if (other.getRoleArn() != null && other.getRoleArn().equals(this.getRoleArn()) == false) return false; if (other.getInputDataConfig() == null ^ this.getInputDataConfig() == null) return false; if (other.getInputDataConfig() != null && other.getInputDataConfig().equals(this.getInputDataConfig()) == false) return false; if (other.getOutputDataConfig() == null ^ this.getOutputDataConfig() == null) return false; if (other.getOutputDataConfig() != null && other.getOutputDataConfig().equals(this.getOutputDataConfig()) == false) return false; if (other.getResourceConfig() == null ^ this.getResourceConfig() == null) return false; if (other.getResourceConfig() != null && other.getResourceConfig().equals(this.getResourceConfig()) == false) return false; if (other.getVpcConfig() == null ^ this.getVpcConfig() == null) return false; if (other.getVpcConfig() != null && other.getVpcConfig().equals(this.getVpcConfig()) == false) return false; if (other.getStoppingCondition() == null ^ this.getStoppingCondition() == null) return false; if (other.getStoppingCondition() != null && other.getStoppingCondition().equals(this.getStoppingCondition()) == false) return false; if (other.getCreationTime() == null ^ this.getCreationTime() == null) return false; if (other.getCreationTime() != null && other.getCreationTime().equals(this.getCreationTime()) == false) return false; if (other.getTrainingStartTime() == null ^ this.getTrainingStartTime() == null) return false; if (other.getTrainingStartTime() != null && other.getTrainingStartTime().equals(this.getTrainingStartTime()) == false) return false; if (other.getTrainingEndTime() == null ^ this.getTrainingEndTime() == null) return false; if (other.getTrainingEndTime() != null && other.getTrainingEndTime().equals(this.getTrainingEndTime()) == false) return false; if (other.getLastModifiedTime() == null ^ this.getLastModifiedTime() == null) return false; if (other.getLastModifiedTime() != null && other.getLastModifiedTime().equals(this.getLastModifiedTime()) == false) return false; if (other.getSecondaryStatusTransitions() == null ^ this.getSecondaryStatusTransitions() == null) return false; if (other.getSecondaryStatusTransitions() != null && other.getSecondaryStatusTransitions().equals(this.getSecondaryStatusTransitions()) == false) return false; if (other.getFinalMetricDataList() == null ^ this.getFinalMetricDataList() == null) return false; if (other.getFinalMetricDataList() != null && other.getFinalMetricDataList().equals(this.getFinalMetricDataList()) == false) return false; if (other.getEnableNetworkIsolation() == null ^ this.getEnableNetworkIsolation() == null) return false; if (other.getEnableNetworkIsolation() != null && other.getEnableNetworkIsolation().equals(this.getEnableNetworkIsolation()) == false) return false; if (other.getEnableInterContainerTrafficEncryption() == null ^ this.getEnableInterContainerTrafficEncryption() == null) return false; if (other.getEnableInterContainerTrafficEncryption() != null && other.getEnableInterContainerTrafficEncryption().equals(this.getEnableInterContainerTrafficEncryption()) == false) return false; if (other.getEnableManagedSpotTraining() == null ^ this.getEnableManagedSpotTraining() == null) return false; if (other.getEnableManagedSpotTraining() != null && other.getEnableManagedSpotTraining().equals(this.getEnableManagedSpotTraining()) == false) return false; if (other.getCheckpointConfig() == null ^ this.getCheckpointConfig() == null) return false; if (other.getCheckpointConfig() != null && other.getCheckpointConfig().equals(this.getCheckpointConfig()) == false) return false; if (other.getTrainingTimeInSeconds() == null ^ this.getTrainingTimeInSeconds() == null) return false; if (other.getTrainingTimeInSeconds() != null && other.getTrainingTimeInSeconds().equals(this.getTrainingTimeInSeconds()) == false) return false; if (other.getBillableTimeInSeconds() == null ^ this.getBillableTimeInSeconds() == null) return false; if (other.getBillableTimeInSeconds() != null && other.getBillableTimeInSeconds().equals(this.getBillableTimeInSeconds()) == false) return false; if (other.getDebugHookConfig() == null ^ this.getDebugHookConfig() == null) return false; if (other.getDebugHookConfig() != null && other.getDebugHookConfig().equals(this.getDebugHookConfig()) == false) return false; if (other.getExperimentConfig() == null ^ this.getExperimentConfig() == null) return false; if (other.getExperimentConfig() != null && other.getExperimentConfig().equals(this.getExperimentConfig()) == false) return false; if (other.getDebugRuleConfigurations() == null ^ this.getDebugRuleConfigurations() == null) return false; if (other.getDebugRuleConfigurations() != null && other.getDebugRuleConfigurations().equals(this.getDebugRuleConfigurations()) == false) return false; if (other.getTensorBoardOutputConfig() == null ^ this.getTensorBoardOutputConfig() == null) return false; if (other.getTensorBoardOutputConfig() != null && other.getTensorBoardOutputConfig().equals(this.getTensorBoardOutputConfig()) == false) return false; if (other.getDebugRuleEvaluationStatuses() == null ^ this.getDebugRuleEvaluationStatuses() == null) return false; if (other.getDebugRuleEvaluationStatuses() != null && other.getDebugRuleEvaluationStatuses().equals(this.getDebugRuleEvaluationStatuses()) == false) return false; if (other.getProfilerConfig() == null ^ this.getProfilerConfig() == null) return false; if (other.getProfilerConfig() != null && other.getProfilerConfig().equals(this.getProfilerConfig()) == false) return false; if (other.getEnvironment() == null ^ this.getEnvironment() == null) return false; if (other.getEnvironment() != null && other.getEnvironment().equals(this.getEnvironment()) == false) return false; if (other.getRetryStrategy() == null ^ this.getRetryStrategy() == null) return false; if (other.getRetryStrategy() != null && other.getRetryStrategy().equals(this.getRetryStrategy()) == false) return false; if (other.getTags() == null ^ this.getTags() == null) return false; if (other.getTags() != null && other.getTags().equals(this.getTags()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getTrainingJobName() == null) ? 0 : getTrainingJobName().hashCode()); hashCode = prime * hashCode + ((getTrainingJobArn() == null) ? 0 : getTrainingJobArn().hashCode()); hashCode = prime * hashCode + ((getTuningJobArn() == null) ? 0 : getTuningJobArn().hashCode()); hashCode = prime * hashCode + ((getLabelingJobArn() == null) ? 0 : getLabelingJobArn().hashCode()); hashCode = prime * hashCode + ((getAutoMLJobArn() == null) ? 0 : getAutoMLJobArn().hashCode()); hashCode = prime * hashCode + ((getModelArtifacts() == null) ? 0 : getModelArtifacts().hashCode()); hashCode = prime * hashCode + ((getTrainingJobStatus() == null) ? 0 : getTrainingJobStatus().hashCode()); hashCode = prime * hashCode + ((getSecondaryStatus() == null) ? 0 : getSecondaryStatus().hashCode()); hashCode = prime * hashCode + ((getFailureReason() == null) ? 0 : getFailureReason().hashCode()); hashCode = prime * hashCode + ((getHyperParameters() == null) ? 0 : getHyperParameters().hashCode()); hashCode = prime * hashCode + ((getAlgorithmSpecification() == null) ? 0 : getAlgorithmSpecification().hashCode()); hashCode = prime * hashCode + ((getRoleArn() == null) ? 0 : getRoleArn().hashCode()); hashCode = prime * hashCode + ((getInputDataConfig() == null) ? 0 : getInputDataConfig().hashCode()); hashCode = prime * hashCode + ((getOutputDataConfig() == null) ? 0 : getOutputDataConfig().hashCode()); hashCode = prime * hashCode + ((getResourceConfig() == null) ? 0 : getResourceConfig().hashCode()); hashCode = prime * hashCode + ((getVpcConfig() == null) ? 0 : getVpcConfig().hashCode()); hashCode = prime * hashCode + ((getStoppingCondition() == null) ? 0 : getStoppingCondition().hashCode()); hashCode = prime * hashCode + ((getCreationTime() == null) ? 0 : getCreationTime().hashCode()); hashCode = prime * hashCode + ((getTrainingStartTime() == null) ? 0 : getTrainingStartTime().hashCode()); hashCode = prime * hashCode + ((getTrainingEndTime() == null) ? 0 : getTrainingEndTime().hashCode()); hashCode = prime * hashCode + ((getLastModifiedTime() == null) ? 0 : getLastModifiedTime().hashCode()); hashCode = prime * hashCode + ((getSecondaryStatusTransitions() == null) ? 0 : getSecondaryStatusTransitions().hashCode()); hashCode = prime * hashCode + ((getFinalMetricDataList() == null) ? 0 : getFinalMetricDataList().hashCode()); hashCode = prime * hashCode + ((getEnableNetworkIsolation() == null) ? 0 : getEnableNetworkIsolation().hashCode()); hashCode = prime * hashCode + ((getEnableInterContainerTrafficEncryption() == null) ? 0 : getEnableInterContainerTrafficEncryption().hashCode()); hashCode = prime * hashCode + ((getEnableManagedSpotTraining() == null) ? 0 : getEnableManagedSpotTraining().hashCode()); hashCode = prime * hashCode + ((getCheckpointConfig() == null) ? 0 : getCheckpointConfig().hashCode()); hashCode = prime * hashCode + ((getTrainingTimeInSeconds() == null) ? 0 : getTrainingTimeInSeconds().hashCode()); hashCode = prime * hashCode + ((getBillableTimeInSeconds() == null) ? 0 : getBillableTimeInSeconds().hashCode()); hashCode = prime * hashCode + ((getDebugHookConfig() == null) ? 0 : getDebugHookConfig().hashCode()); hashCode = prime * hashCode + ((getExperimentConfig() == null) ? 0 : getExperimentConfig().hashCode()); hashCode = prime * hashCode + ((getDebugRuleConfigurations() == null) ? 0 : getDebugRuleConfigurations().hashCode()); hashCode = prime * hashCode + ((getTensorBoardOutputConfig() == null) ? 0 : getTensorBoardOutputConfig().hashCode()); hashCode = prime * hashCode + ((getDebugRuleEvaluationStatuses() == null) ? 0 : getDebugRuleEvaluationStatuses().hashCode()); hashCode = prime * hashCode + ((getProfilerConfig() == null) ? 0 : getProfilerConfig().hashCode()); hashCode = prime * hashCode + ((getEnvironment() == null) ? 0 : getEnvironment().hashCode()); hashCode = prime * hashCode + ((getRetryStrategy() == null) ? 0 : getRetryStrategy().hashCode()); hashCode = prime * hashCode + ((getTags() == null) ? 0 : getTags().hashCode()); return hashCode; } @Override public TrainingJob clone() { try { return (TrainingJob) 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.TrainingJobMarshaller.getInstance().marshall(this, protocolMarshaller); } }