DescribeAutoMLJobResult (AWS SDK for Java

java.lang.Object
- com.amazonaws.AmazonWebServiceResult<ResponseMetadata>
- - com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult

All Implemented Interfaces:: Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class DescribeAutoMLJobResult
extends AmazonWebServiceResult<ResponseMetadata>
implements Serializable, Cloneable

See Also:: AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

DescribeAutoMLJobResult()

Constructors
Constructor and Description
`DescribeAutoMLJobResult()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`DescribeAutoMLJobResult`	`clone()`
`boolean`	`equals(Object obj)`
`String`	`getAutoMLJobArn()` Returns the ARN of the AutoML job.
`AutoMLJobArtifacts`	`getAutoMLJobArtifacts()` Returns information on the job's artifacts found in `AutoMLJobArtifacts`.
`AutoMLJobConfig`	`getAutoMLJobConfig()` Returns the configuration for the AutoML job.
`String`	`getAutoMLJobName()` Returns the name of the AutoML job.
`AutoMLJobObjective`	`getAutoMLJobObjective()` Returns the job's objective.
`String`	`getAutoMLJobSecondaryStatus()` Returns the secondary status of the AutoML job.
`String`	`getAutoMLJobStatus()` Returns the status of the AutoML job.
`AutoMLCandidate`	`getBestCandidate()` The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
`Date`	`getCreationTime()` Returns the creation time of the AutoML job.
`Date`	`getEndTime()` Returns the end time of the AutoML job.
`String`	`getFailureReason()` Returns the failure reason for an AutoML job, when applicable.
`Boolean`	`getGenerateCandidateDefinitionsOnly()` Indicates whether the output for an AutoML job generates candidate definitions only.
`List<AutoMLChannel>`	`getInputDataConfig()` Returns the input data configuration for the AutoML job.
`Date`	`getLastModifiedTime()` Returns the job's last modified time.
`ModelDeployConfig`	`getModelDeployConfig()` Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
`ModelDeployResult`	`getModelDeployResult()` Provides information about endpoint for the model deployment.
`AutoMLOutputDataConfig`	`getOutputDataConfig()` Returns the job's output data config.
`List<AutoMLPartialFailureReason>`	`getPartialFailureReasons()` Returns a list of reasons for partial failures within an AutoML job.
`String`	`getProblemType()` Returns the job's problem type.
`ResolvedAttributes`	`getResolvedAttributes()` Contains `ProblemType`, `AutoMLJobObjective`, and `CompletionCriteria`.
`String`	`getRoleArn()` The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
`int`	`hashCode()`
`Boolean`	`isGenerateCandidateDefinitionsOnly()` Indicates whether the output for an AutoML job generates candidate definitions only.
`void`	`setAutoMLJobArn(String autoMLJobArn)` Returns the ARN of the AutoML job.
`void`	`setAutoMLJobArtifacts(AutoMLJobArtifacts autoMLJobArtifacts)` Returns information on the job's artifacts found in `AutoMLJobArtifacts`.
`void`	`setAutoMLJobConfig(AutoMLJobConfig autoMLJobConfig)` Returns the configuration for the AutoML job.
`void`	`setAutoMLJobName(String autoMLJobName)` Returns the name of the AutoML job.
`void`	`setAutoMLJobObjective(AutoMLJobObjective autoMLJobObjective)` Returns the job's objective.
`void`	`setAutoMLJobSecondaryStatus(String autoMLJobSecondaryStatus)` Returns the secondary status of the AutoML job.
`void`	`setAutoMLJobStatus(String autoMLJobStatus)` Returns the status of the AutoML job.
`void`	`setBestCandidate(AutoMLCandidate bestCandidate)` The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
`void`	`setCreationTime(Date creationTime)` Returns the creation time of the AutoML job.
`void`	`setEndTime(Date endTime)` Returns the end time of the AutoML job.
`void`	`setFailureReason(String failureReason)` Returns the failure reason for an AutoML job, when applicable.
`void`	`setGenerateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly)` Indicates whether the output for an AutoML job generates candidate definitions only.
`void`	`setInputDataConfig(Collection<AutoMLChannel> inputDataConfig)` Returns the input data configuration for the AutoML job.
`void`	`setLastModifiedTime(Date lastModifiedTime)` Returns the job's last modified time.
`void`	`setModelDeployConfig(ModelDeployConfig modelDeployConfig)` Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
`void`	`setModelDeployResult(ModelDeployResult modelDeployResult)` Provides information about endpoint for the model deployment.
`void`	`setOutputDataConfig(AutoMLOutputDataConfig outputDataConfig)` Returns the job's output data config.
`void`	`setPartialFailureReasons(Collection<AutoMLPartialFailureReason> partialFailureReasons)` Returns a list of reasons for partial failures within an AutoML job.
`void`	`setProblemType(String problemType)` Returns the job's problem type.
`void`	`setResolvedAttributes(ResolvedAttributes resolvedAttributes)` Contains `ProblemType`, `AutoMLJobObjective`, and `CompletionCriteria`.
`void`	`setRoleArn(String roleArn)` The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
`String`	`toString()` Returns a string representation of this object.
`DescribeAutoMLJobResult`	`withAutoMLJobArn(String autoMLJobArn)` Returns the ARN of the AutoML job.
`DescribeAutoMLJobResult`	`withAutoMLJobArtifacts(AutoMLJobArtifacts autoMLJobArtifacts)` Returns information on the job's artifacts found in `AutoMLJobArtifacts`.
`DescribeAutoMLJobResult`	`withAutoMLJobConfig(AutoMLJobConfig autoMLJobConfig)` Returns the configuration for the AutoML job.
`DescribeAutoMLJobResult`	`withAutoMLJobName(String autoMLJobName)` Returns the name of the AutoML job.
`DescribeAutoMLJobResult`	`withAutoMLJobObjective(AutoMLJobObjective autoMLJobObjective)` Returns the job's objective.
`DescribeAutoMLJobResult`	`withAutoMLJobSecondaryStatus(AutoMLJobSecondaryStatus autoMLJobSecondaryStatus)` Returns the secondary status of the AutoML job.
`DescribeAutoMLJobResult`	`withAutoMLJobSecondaryStatus(String autoMLJobSecondaryStatus)` Returns the secondary status of the AutoML job.
`DescribeAutoMLJobResult`	`withAutoMLJobStatus(AutoMLJobStatus autoMLJobStatus)` Returns the status of the AutoML job.
`DescribeAutoMLJobResult`	`withAutoMLJobStatus(String autoMLJobStatus)` Returns the status of the AutoML job.
`DescribeAutoMLJobResult`	`withBestCandidate(AutoMLCandidate bestCandidate)` The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
`DescribeAutoMLJobResult`	`withCreationTime(Date creationTime)` Returns the creation time of the AutoML job.
`DescribeAutoMLJobResult`	`withEndTime(Date endTime)` Returns the end time of the AutoML job.
`DescribeAutoMLJobResult`	`withFailureReason(String failureReason)` Returns the failure reason for an AutoML job, when applicable.
`DescribeAutoMLJobResult`	`withGenerateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly)` Indicates whether the output for an AutoML job generates candidate definitions only.
`DescribeAutoMLJobResult`	`withInputDataConfig(AutoMLChannel... inputDataConfig)` Returns the input data configuration for the AutoML job.
`DescribeAutoMLJobResult`	`withInputDataConfig(Collection<AutoMLChannel> inputDataConfig)` Returns the input data configuration for the AutoML job.
`DescribeAutoMLJobResult`	`withLastModifiedTime(Date lastModifiedTime)` Returns the job's last modified time.
`DescribeAutoMLJobResult`	`withModelDeployConfig(ModelDeployConfig modelDeployConfig)` Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
`DescribeAutoMLJobResult`	`withModelDeployResult(ModelDeployResult modelDeployResult)` Provides information about endpoint for the model deployment.
`DescribeAutoMLJobResult`	`withOutputDataConfig(AutoMLOutputDataConfig outputDataConfig)` Returns the job's output data config.
`DescribeAutoMLJobResult`	`withPartialFailureReasons(AutoMLPartialFailureReason... partialFailureReasons)` Returns a list of reasons for partial failures within an AutoML job.
`DescribeAutoMLJobResult`	`withPartialFailureReasons(Collection<AutoMLPartialFailureReason> partialFailureReasons)` Returns a list of reasons for partial failures within an AutoML job.
`DescribeAutoMLJobResult`	`withProblemType(ProblemType problemType)` Returns the job's problem type.
`DescribeAutoMLJobResult`	`withProblemType(String problemType)` Returns the job's problem type.
`DescribeAutoMLJobResult`	`withResolvedAttributes(ResolvedAttributes resolvedAttributes)` Contains `ProblemType`, `AutoMLJobObjective`, and `CompletionCriteria`.
`DescribeAutoMLJobResult`	`withRoleArn(String roleArn)` The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.

Methods inherited from class com.amazonaws.AmazonWebServiceResult
getSdkHttpMetadata, getSdkResponseMetadata, setSdkHttpMetadata, setSdkResponseMetadata

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - DescribeAutoMLJobResult
```
public DescribeAutoMLJobResult()
```
- Method Detail
  - setAutoMLJobName
```
public void setAutoMLJobName(String autoMLJobName)
```
    Returns the name of the AutoML job.
    
    Parameters:
    
    autoMLJobName - Returns the name of the AutoML job.
  - getAutoMLJobName
```
public String getAutoMLJobName()
```
    Returns the name of the AutoML job.
    
    Returns:
    
    Returns the name of the AutoML job.
  - withAutoMLJobName
```
public DescribeAutoMLJobResult withAutoMLJobName(String autoMLJobName)
```
    Returns the name of the AutoML job.
    
    Parameters:
    
    autoMLJobName - Returns the name of the AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setAutoMLJobArn
```
public void setAutoMLJobArn(String autoMLJobArn)
```
    Returns the ARN of the AutoML job.
    
    Parameters:
    
    autoMLJobArn - Returns the ARN of the AutoML job.
  - getAutoMLJobArn
```
public String getAutoMLJobArn()
```
    Returns the ARN of the AutoML job.
    
    Returns:
    
    Returns the ARN of the AutoML job.
  - withAutoMLJobArn
```
public DescribeAutoMLJobResult withAutoMLJobArn(String autoMLJobArn)
```
    Returns the ARN of the AutoML job.
    
    Parameters:
    
    autoMLJobArn - Returns the ARN of the AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getInputDataConfig
```
public List<AutoMLChannel> getInputDataConfig()
```
    Returns the input data configuration for the AutoML job.
    
    Returns:
    
    Returns the input data configuration for the AutoML job.
  - setInputDataConfig
```
public void setInputDataConfig(Collection<AutoMLChannel> inputDataConfig)
```
    Returns the input data configuration for the AutoML job.
    
    Parameters:
    
    inputDataConfig - Returns the input data configuration for the AutoML job.
  - withInputDataConfig
```
public DescribeAutoMLJobResult withInputDataConfig(AutoMLChannel... inputDataConfig)
```
    Returns the input data configuration for the AutoML job.
    
    NOTE: This method appends the values to the existing list (if any). Use setInputDataConfig(java.util.Collection) or withInputDataConfig(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    inputDataConfig - Returns the input data configuration for the AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withInputDataConfig
```
public DescribeAutoMLJobResult withInputDataConfig(Collection<AutoMLChannel> inputDataConfig)
```
    Returns the input data configuration for the AutoML job.
    
    Parameters:
    
    inputDataConfig - Returns the input data configuration for the AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setOutputDataConfig
```
public void setOutputDataConfig(AutoMLOutputDataConfig outputDataConfig)
```
    Returns the job's output data config.
    
    Parameters:
    
    outputDataConfig - Returns the job's output data config.
  - getOutputDataConfig
```
public AutoMLOutputDataConfig getOutputDataConfig()
```
    Returns the job's output data config.
    
    Returns:
    
    Returns the job's output data config.
  - withOutputDataConfig
```
public DescribeAutoMLJobResult withOutputDataConfig(AutoMLOutputDataConfig outputDataConfig)
```
    Returns the job's output data config.
    
    Parameters:
    
    outputDataConfig - Returns the job's output data config.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRoleArn
```
public void setRoleArn(String roleArn)
```
    The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
    
    Parameters:
    
    roleArn - The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
  - getRoleArn
```
public String getRoleArn()
```
    The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
    
    Returns:
    
    The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
  - withRoleArn
```
public DescribeAutoMLJobResult withRoleArn(String roleArn)
```
    The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
    
    Parameters:
    
    roleArn - The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setAutoMLJobObjective
```
public void setAutoMLJobObjective(AutoMLJobObjective autoMLJobObjective)
```
    Returns the job's objective.
    
    Parameters:
    
    autoMLJobObjective - Returns the job's objective.
  - getAutoMLJobObjective
```
public AutoMLJobObjective getAutoMLJobObjective()
```
    Returns the job's objective.
    
    Returns:
    
    Returns the job's objective.
  - withAutoMLJobObjective
```
public DescribeAutoMLJobResult withAutoMLJobObjective(AutoMLJobObjective autoMLJobObjective)
```
    Returns the job's objective.
    
    Parameters:
    
    autoMLJobObjective - Returns the job's objective.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setProblemType
```
public void setProblemType(String problemType)
```
    Returns the job's problem type.
    
    Parameters:
    
    problemType - Returns the job's problem type.
    
    See Also:
    
    ProblemType
  - getProblemType
```
public String getProblemType()
```
    Returns the job's problem type.
    
    Returns:
    
    Returns the job's problem type.
    
    See Also:
    
    ProblemType
  - withProblemType
```
public DescribeAutoMLJobResult withProblemType(String problemType)
```
    Returns the job's problem type.
    
    Parameters:
    
    problemType - Returns the job's problem type.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProblemType
  - withProblemType
```
public DescribeAutoMLJobResult withProblemType(ProblemType problemType)
```
    Returns the job's problem type.
    
    Parameters:
    
    problemType - Returns the job's problem type.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProblemType
  - setAutoMLJobConfig
```
public void setAutoMLJobConfig(AutoMLJobConfig autoMLJobConfig)
```
    Returns the configuration for the AutoML job.
    
    Parameters:
    
    autoMLJobConfig - Returns the configuration for the AutoML job.
  - getAutoMLJobConfig
```
public AutoMLJobConfig getAutoMLJobConfig()
```
    Returns the configuration for the AutoML job.
    
    Returns:
    
    Returns the configuration for the AutoML job.
  - withAutoMLJobConfig
```
public DescribeAutoMLJobResult withAutoMLJobConfig(AutoMLJobConfig autoMLJobConfig)
```
    Returns the configuration for the AutoML job.
    
    Parameters:
    
    autoMLJobConfig - Returns the configuration for the AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCreationTime
```
public void setCreationTime(Date creationTime)
```
    Returns the creation time of the AutoML job.
    
    Parameters:
    
    creationTime - Returns the creation time of the AutoML job.
  - getCreationTime
```
public Date getCreationTime()
```
    Returns the creation time of the AutoML job.
    
    Returns:
    
    Returns the creation time of the AutoML job.
  - withCreationTime
```
public DescribeAutoMLJobResult withCreationTime(Date creationTime)
```
    Returns the creation time of the AutoML job.
    
    Parameters:
    
    creationTime - Returns the creation time of the AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setEndTime
```
public void setEndTime(Date endTime)
```
    Returns the end time of the AutoML job.
    
    Parameters:
    
    endTime - Returns the end time of the AutoML job.
  - getEndTime
```
public Date getEndTime()
```
    Returns the end time of the AutoML job.
    
    Returns:
    
    Returns the end time of the AutoML job.
  - withEndTime
```
public DescribeAutoMLJobResult withEndTime(Date endTime)
```
    Returns the end time of the AutoML job.
    
    Parameters:
    
    endTime - Returns the end time of the AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLastModifiedTime
```
public void setLastModifiedTime(Date lastModifiedTime)
```
    Returns the job's last modified time.
    
    Parameters:
    
    lastModifiedTime - Returns the job's last modified time.
  - getLastModifiedTime
```
public Date getLastModifiedTime()
```
    Returns the job's last modified time.
    
    Returns:
    
    Returns the job's last modified time.
  - withLastModifiedTime
```
public DescribeAutoMLJobResult withLastModifiedTime(Date lastModifiedTime)
```
    Returns the job's last modified time.
    
    Parameters:
    
    lastModifiedTime - Returns the job's last modified time.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setFailureReason
```
public void setFailureReason(String failureReason)
```
    Returns the failure reason for an AutoML job, when applicable.
    
    Parameters:
    
    failureReason - Returns the failure reason for an AutoML job, when applicable.
  - getFailureReason
```
public String getFailureReason()
```
    Returns the failure reason for an AutoML job, when applicable.
    
    Returns:
    
    Returns the failure reason for an AutoML job, when applicable.
  - withFailureReason
```
public DescribeAutoMLJobResult withFailureReason(String failureReason)
```
    Returns the failure reason for an AutoML job, when applicable.
    
    Parameters:
    
    failureReason - Returns the failure reason for an AutoML job, when applicable.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getPartialFailureReasons
```
public List<AutoMLPartialFailureReason> getPartialFailureReasons()
```
    Returns a list of reasons for partial failures within an AutoML job.
    
    Returns:
    
    Returns a list of reasons for partial failures within an AutoML job.
  - setPartialFailureReasons
```
public void setPartialFailureReasons(Collection<AutoMLPartialFailureReason> partialFailureReasons)
```
    Returns a list of reasons for partial failures within an AutoML job.
    
    Parameters:
    
    partialFailureReasons - Returns a list of reasons for partial failures within an AutoML job.
  - withPartialFailureReasons
```
public DescribeAutoMLJobResult withPartialFailureReasons(AutoMLPartialFailureReason... partialFailureReasons)
```
    Returns a list of reasons for partial failures within an AutoML job.
    
    NOTE: This method appends the values to the existing list (if any). Use setPartialFailureReasons(java.util.Collection) or withPartialFailureReasons(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    partialFailureReasons - Returns a list of reasons for partial failures within an AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withPartialFailureReasons
```
public DescribeAutoMLJobResult withPartialFailureReasons(Collection<AutoMLPartialFailureReason> partialFailureReasons)
```
    Returns a list of reasons for partial failures within an AutoML job.
    
    Parameters:
    
    partialFailureReasons - Returns a list of reasons for partial failures within an AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setBestCandidate
```
public void setBestCandidate(AutoMLCandidate bestCandidate)
```
    The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
    
    Parameters:
    
    bestCandidate - The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
  - getBestCandidate
```
public AutoMLCandidate getBestCandidate()
```
    The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
    
    Returns:
    
    The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
  - withBestCandidate
```
public DescribeAutoMLJobResult withBestCandidate(AutoMLCandidate bestCandidate)
```
    The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
    
    Parameters:
    
    bestCandidate - The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setAutoMLJobStatus
```
public void setAutoMLJobStatus(String autoMLJobStatus)
```
    Returns the status of the AutoML job.
    
    Parameters:
    
    autoMLJobStatus - Returns the status of the AutoML job.
    
    See Also:
    
    AutoMLJobStatus
  - getAutoMLJobStatus
```
public String getAutoMLJobStatus()
```
    Returns the status of the AutoML job.
    
    Returns:
    
    Returns the status of the AutoML job.
    
    See Also:
    
    AutoMLJobStatus
  - withAutoMLJobStatus
```
public DescribeAutoMLJobResult withAutoMLJobStatus(String autoMLJobStatus)
```
    Returns the status of the AutoML job.
    
    Parameters:
    
    autoMLJobStatus - Returns the status of the AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    AutoMLJobStatus
  - withAutoMLJobStatus
```
public DescribeAutoMLJobResult withAutoMLJobStatus(AutoMLJobStatus autoMLJobStatus)
```
    Returns the status of the AutoML job.
    
    Parameters:
    
    autoMLJobStatus - Returns the status of the AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    AutoMLJobStatus
  - setAutoMLJobSecondaryStatus
```
public void setAutoMLJobSecondaryStatus(String autoMLJobSecondaryStatus)
```
    Returns the secondary status of the AutoML job.
    
    Parameters:
    
    autoMLJobSecondaryStatus - Returns the secondary status of the AutoML job.
    
    See Also:
    
    AutoMLJobSecondaryStatus
  - getAutoMLJobSecondaryStatus
```
public String getAutoMLJobSecondaryStatus()
```
    Returns the secondary status of the AutoML job.
    
    Returns:
    
    Returns the secondary status of the AutoML job.
    
    See Also:
    
    AutoMLJobSecondaryStatus
  - withAutoMLJobSecondaryStatus
```
public DescribeAutoMLJobResult withAutoMLJobSecondaryStatus(String autoMLJobSecondaryStatus)
```
    Returns the secondary status of the AutoML job.
    
    Parameters:
    
    autoMLJobSecondaryStatus - Returns the secondary status of the AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    AutoMLJobSecondaryStatus
  - withAutoMLJobSecondaryStatus
```
public DescribeAutoMLJobResult withAutoMLJobSecondaryStatus(AutoMLJobSecondaryStatus autoMLJobSecondaryStatus)
```
    Returns the secondary status of the AutoML job.
    
    Parameters:
    
    autoMLJobSecondaryStatus - Returns the secondary status of the AutoML job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    AutoMLJobSecondaryStatus
  - setGenerateCandidateDefinitionsOnly
```
public void setGenerateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly)
```
    Indicates whether the output for an AutoML job generates candidate definitions only.
    
    Parameters:
    
    generateCandidateDefinitionsOnly - Indicates whether the output for an AutoML job generates candidate definitions only.
  - getGenerateCandidateDefinitionsOnly
```
public Boolean getGenerateCandidateDefinitionsOnly()
```
    Indicates whether the output for an AutoML job generates candidate definitions only.
    
    Returns:
    
    Indicates whether the output for an AutoML job generates candidate definitions only.
  - withGenerateCandidateDefinitionsOnly
```
public DescribeAutoMLJobResult withGenerateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly)
```
    Indicates whether the output for an AutoML job generates candidate definitions only.
    
    Parameters:
    
    generateCandidateDefinitionsOnly - Indicates whether the output for an AutoML job generates candidate definitions only.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - isGenerateCandidateDefinitionsOnly
```
public Boolean isGenerateCandidateDefinitionsOnly()
```
    Indicates whether the output for an AutoML job generates candidate definitions only.
    
    Returns:
    
    Indicates whether the output for an AutoML job generates candidate definitions only.
  - setAutoMLJobArtifacts
```
public void setAutoMLJobArtifacts(AutoMLJobArtifacts autoMLJobArtifacts)
```
    Returns information on the job's artifacts found in AutoMLJobArtifacts.
    
    Parameters:
    
    autoMLJobArtifacts - Returns information on the job's artifacts found in AutoMLJobArtifacts.
  - getAutoMLJobArtifacts
```
public AutoMLJobArtifacts getAutoMLJobArtifacts()
```
    Returns information on the job's artifacts found in AutoMLJobArtifacts.
    
    Returns:
    
    Returns information on the job's artifacts found in AutoMLJobArtifacts.
  - withAutoMLJobArtifacts
```
public DescribeAutoMLJobResult withAutoMLJobArtifacts(AutoMLJobArtifacts autoMLJobArtifacts)
```
    Returns information on the job's artifacts found in AutoMLJobArtifacts.
    
    Parameters:
    
    autoMLJobArtifacts - Returns information on the job's artifacts found in AutoMLJobArtifacts.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setResolvedAttributes
```
public void setResolvedAttributes(ResolvedAttributes resolvedAttributes)
```
    Contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are inferred.
    
    Parameters:
    
    resolvedAttributes - Contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are inferred.
  - getResolvedAttributes
```
public ResolvedAttributes getResolvedAttributes()
```
    Contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are inferred.
    
    Returns:
    
    Contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are inferred.
  - withResolvedAttributes
```
public DescribeAutoMLJobResult withResolvedAttributes(ResolvedAttributes resolvedAttributes)
```
    Contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are inferred.
    
    Parameters:
    
    resolvedAttributes - Contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are inferred.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelDeployConfig
```
public void setModelDeployConfig(ModelDeployConfig modelDeployConfig)
```
    Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
    
    Parameters:
    
    modelDeployConfig - Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
  - getModelDeployConfig
```
public ModelDeployConfig getModelDeployConfig()
```
    Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
    
    Returns:
    
    Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
  - withModelDeployConfig
```
public DescribeAutoMLJobResult withModelDeployConfig(ModelDeployConfig modelDeployConfig)
```
    Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
    
    Parameters:
    
    modelDeployConfig - Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelDeployResult
```
public void setModelDeployResult(ModelDeployResult modelDeployResult)
```
    Provides information about endpoint for the model deployment.
    
    Parameters:
    
    modelDeployResult - Provides information about endpoint for the model deployment.
  - getModelDeployResult
```
public ModelDeployResult getModelDeployResult()
```
    Provides information about endpoint for the model deployment.
    
    Returns:
    
    Provides information about endpoint for the model deployment.
  - withModelDeployResult
```
public DescribeAutoMLJobResult withModelDeployResult(ModelDeployResult modelDeployResult)
```
    Provides information about endpoint for the model deployment.
    
    Parameters:
    
    modelDeployResult - Provides information about endpoint for the model deployment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    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.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public DescribeAutoMLJobResult clone()
```
    Overrides:
    
    clone in class Object

AWS SDK for Java 1.x API Reference - 1.12.780

Class DescribeAutoMLJobResult

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.AmazonWebServiceResult

Methods inherited from class java.lang.Object

Constructor Detail

DescribeAutoMLJobResult

Method Detail

setAutoMLJobName

getAutoMLJobName

withAutoMLJobName

setAutoMLJobArn

getAutoMLJobArn

withAutoMLJobArn

getInputDataConfig

setInputDataConfig

withInputDataConfig

withInputDataConfig

setOutputDataConfig

getOutputDataConfig

withOutputDataConfig

setRoleArn

getRoleArn

withRoleArn

setAutoMLJobObjective

getAutoMLJobObjective

withAutoMLJobObjective

setProblemType

getProblemType

withProblemType

withProblemType

setAutoMLJobConfig

getAutoMLJobConfig

withAutoMLJobConfig

setCreationTime

getCreationTime

withCreationTime

setEndTime

getEndTime

withEndTime

setLastModifiedTime

getLastModifiedTime

withLastModifiedTime

setFailureReason

getFailureReason

withFailureReason

getPartialFailureReasons

setPartialFailureReasons

withPartialFailureReasons

withPartialFailureReasons

setBestCandidate

getBestCandidate

withBestCandidate

setAutoMLJobStatus

getAutoMLJobStatus

withAutoMLJobStatus

withAutoMLJobStatus

setAutoMLJobSecondaryStatus

getAutoMLJobSecondaryStatus

withAutoMLJobSecondaryStatus

withAutoMLJobSecondaryStatus

setGenerateCandidateDefinitionsOnly

getGenerateCandidateDefinitionsOnly

withGenerateCandidateDefinitionsOnly

isGenerateCandidateDefinitionsOnly

setAutoMLJobArtifacts

getAutoMLJobArtifacts

withAutoMLJobArtifacts

setResolvedAttributes

getResolvedAttributes

withResolvedAttributes

setModelDeployConfig

getModelDeployConfig

withModelDeployConfig

setModelDeployResult

getModelDeployResult

withModelDeployResult

toString

equals