@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class DescribeHyperParameterTuningJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable, Cloneable
Constructor and Description |
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DescribeHyperParameterTuningJobResult() |
Modifier and Type | Method and Description |
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DescribeHyperParameterTuningJobResult |
clone() |
boolean |
equals(Object obj) |
HyperParameterTrainingJobSummary |
getBestTrainingJob()
A TrainingJobSummary object that describes the training job that completed with the best current
HyperParameterTuningJobObjective.
|
Date |
getCreationTime()
The date and time that the tuning job started.
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String |
getFailureReason()
If the tuning job failed, the reason it failed.
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Date |
getHyperParameterTuningEndTime()
The date and time that the tuning job ended.
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String |
getHyperParameterTuningJobArn()
The Amazon Resource Name (ARN) of the tuning job.
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HyperParameterTuningJobConfig |
getHyperParameterTuningJobConfig()
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
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String |
getHyperParameterTuningJobName()
The name of the tuning job.
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String |
getHyperParameterTuningJobStatus()
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
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Date |
getLastModifiedTime()
The date and time that the status of the tuning job was modified.
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ObjectiveStatusCounters |
getObjectiveStatusCounters()
The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status
of their final objective metric, that this tuning job launched.
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HyperParameterTrainingJobSummary |
getOverallBestTrainingJob()
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType of
IDENTICAL_DATA_AND_ALGORITHM , this is the TrainingJobSummary for the training job with the
best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for
the warm start tuning job. |
HyperParameterTrainingJobDefinition |
getTrainingJobDefinition()
The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that
this tuning job launches.
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List<HyperParameterTrainingJobDefinition> |
getTrainingJobDefinitions()
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
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TrainingJobStatusCounters |
getTrainingJobStatusCounters()
The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status,
that this tuning job launched.
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HyperParameterTuningJobWarmStartConfig |
getWarmStartConfig()
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as
a starting point.
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int |
hashCode() |
void |
setBestTrainingJob(HyperParameterTrainingJobSummary bestTrainingJob)
A TrainingJobSummary object that describes the training job that completed with the best current
HyperParameterTuningJobObjective.
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void |
setCreationTime(Date creationTime)
The date and time that the tuning job started.
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void |
setFailureReason(String failureReason)
If the tuning job failed, the reason it failed.
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void |
setHyperParameterTuningEndTime(Date hyperParameterTuningEndTime)
The date and time that the tuning job ended.
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void |
setHyperParameterTuningJobArn(String hyperParameterTuningJobArn)
The Amazon Resource Name (ARN) of the tuning job.
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void |
setHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig)
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
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void |
setHyperParameterTuningJobName(String hyperParameterTuningJobName)
The name of the tuning job.
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void |
setHyperParameterTuningJobStatus(String hyperParameterTuningJobStatus)
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
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void |
setLastModifiedTime(Date lastModifiedTime)
The date and time that the status of the tuning job was modified.
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void |
setObjectiveStatusCounters(ObjectiveStatusCounters objectiveStatusCounters)
The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status
of their final objective metric, that this tuning job launched.
|
void |
setOverallBestTrainingJob(HyperParameterTrainingJobSummary overallBestTrainingJob)
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType of
IDENTICAL_DATA_AND_ALGORITHM , this is the TrainingJobSummary for the training job with the
best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for
the warm start tuning job. |
void |
setTrainingJobDefinition(HyperParameterTrainingJobDefinition trainingJobDefinition)
The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that
this tuning job launches.
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void |
setTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition> trainingJobDefinitions)
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
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void |
setTrainingJobStatusCounters(TrainingJobStatusCounters trainingJobStatusCounters)
The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status,
that this tuning job launched.
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void |
setWarmStartConfig(HyperParameterTuningJobWarmStartConfig warmStartConfig)
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as
a starting point.
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String |
toString()
Returns a string representation of this object.
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DescribeHyperParameterTuningJobResult |
withBestTrainingJob(HyperParameterTrainingJobSummary bestTrainingJob)
A TrainingJobSummary object that describes the training job that completed with the best current
HyperParameterTuningJobObjective.
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DescribeHyperParameterTuningJobResult |
withCreationTime(Date creationTime)
The date and time that the tuning job started.
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DescribeHyperParameterTuningJobResult |
withFailureReason(String failureReason)
If the tuning job failed, the reason it failed.
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DescribeHyperParameterTuningJobResult |
withHyperParameterTuningEndTime(Date hyperParameterTuningEndTime)
The date and time that the tuning job ended.
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DescribeHyperParameterTuningJobResult |
withHyperParameterTuningJobArn(String hyperParameterTuningJobArn)
The Amazon Resource Name (ARN) of the tuning job.
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DescribeHyperParameterTuningJobResult |
withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig)
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
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DescribeHyperParameterTuningJobResult |
withHyperParameterTuningJobName(String hyperParameterTuningJobName)
The name of the tuning job.
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DescribeHyperParameterTuningJobResult |
withHyperParameterTuningJobStatus(HyperParameterTuningJobStatus hyperParameterTuningJobStatus)
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
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DescribeHyperParameterTuningJobResult |
withHyperParameterTuningJobStatus(String hyperParameterTuningJobStatus)
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
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DescribeHyperParameterTuningJobResult |
withLastModifiedTime(Date lastModifiedTime)
The date and time that the status of the tuning job was modified.
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DescribeHyperParameterTuningJobResult |
withObjectiveStatusCounters(ObjectiveStatusCounters objectiveStatusCounters)
The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status
of their final objective metric, that this tuning job launched.
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DescribeHyperParameterTuningJobResult |
withOverallBestTrainingJob(HyperParameterTrainingJobSummary overallBestTrainingJob)
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType of
IDENTICAL_DATA_AND_ALGORITHM , this is the TrainingJobSummary for the training job with the
best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for
the warm start tuning job. |
DescribeHyperParameterTuningJobResult |
withTrainingJobDefinition(HyperParameterTrainingJobDefinition trainingJobDefinition)
The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that
this tuning job launches.
|
DescribeHyperParameterTuningJobResult |
withTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition> trainingJobDefinitions)
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
|
DescribeHyperParameterTuningJobResult |
withTrainingJobDefinitions(HyperParameterTrainingJobDefinition... trainingJobDefinitions)
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
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DescribeHyperParameterTuningJobResult |
withTrainingJobStatusCounters(TrainingJobStatusCounters trainingJobStatusCounters)
The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status,
that this tuning job launched.
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DescribeHyperParameterTuningJobResult |
withWarmStartConfig(HyperParameterTuningJobWarmStartConfig warmStartConfig)
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as
a starting point.
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getSdkHttpMetadata, getSdkResponseMetadata, setSdkHttpMetadata, setSdkResponseMetadata
public DescribeHyperParameterTuningJobResult()
public void setHyperParameterTuningJobName(String hyperParameterTuningJobName)
The name of the tuning job.
hyperParameterTuningJobName
- The name of the tuning job.public String getHyperParameterTuningJobName()
The name of the tuning job.
public DescribeHyperParameterTuningJobResult withHyperParameterTuningJobName(String hyperParameterTuningJobName)
The name of the tuning job.
hyperParameterTuningJobName
- The name of the tuning job.public void setHyperParameterTuningJobArn(String hyperParameterTuningJobArn)
The Amazon Resource Name (ARN) of the tuning job.
hyperParameterTuningJobArn
- The Amazon Resource Name (ARN) of the tuning job.public String getHyperParameterTuningJobArn()
The Amazon Resource Name (ARN) of the tuning job.
public DescribeHyperParameterTuningJobResult withHyperParameterTuningJobArn(String hyperParameterTuningJobArn)
The Amazon Resource Name (ARN) of the tuning job.
hyperParameterTuningJobArn
- The Amazon Resource Name (ARN) of the tuning job.public void setHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig)
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
hyperParameterTuningJobConfig
- The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.public HyperParameterTuningJobConfig getHyperParameterTuningJobConfig()
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
public DescribeHyperParameterTuningJobResult withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig)
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
hyperParameterTuningJobConfig
- The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.public void setTrainingJobDefinition(HyperParameterTrainingJobDefinition trainingJobDefinition)
The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
trainingJobDefinition
- The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs
that this tuning job launches.public HyperParameterTrainingJobDefinition getTrainingJobDefinition()
The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
public DescribeHyperParameterTuningJobResult withTrainingJobDefinition(HyperParameterTrainingJobDefinition trainingJobDefinition)
The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
trainingJobDefinition
- The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs
that this tuning job launches.public List<HyperParameterTrainingJobDefinition> getTrainingJobDefinitions()
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
public void setTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition> trainingJobDefinitions)
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
trainingJobDefinitions
- A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.public DescribeHyperParameterTuningJobResult withTrainingJobDefinitions(HyperParameterTrainingJobDefinition... trainingJobDefinitions)
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
NOTE: This method appends the values to the existing list (if any). Use
setTrainingJobDefinitions(java.util.Collection)
or
withTrainingJobDefinitions(java.util.Collection)
if you want to override the existing values.
trainingJobDefinitions
- A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.public DescribeHyperParameterTuningJobResult withTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition> trainingJobDefinitions)
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
trainingJobDefinitions
- A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.public void setHyperParameterTuningJobStatus(String hyperParameterTuningJobStatus)
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
hyperParameterTuningJobStatus
- The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.HyperParameterTuningJobStatus
public String getHyperParameterTuningJobStatus()
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
HyperParameterTuningJobStatus
public DescribeHyperParameterTuningJobResult withHyperParameterTuningJobStatus(String hyperParameterTuningJobStatus)
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
hyperParameterTuningJobStatus
- The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.HyperParameterTuningJobStatus
public DescribeHyperParameterTuningJobResult withHyperParameterTuningJobStatus(HyperParameterTuningJobStatus hyperParameterTuningJobStatus)
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
hyperParameterTuningJobStatus
- The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.HyperParameterTuningJobStatus
public void setCreationTime(Date creationTime)
The date and time that the tuning job started.
creationTime
- The date and time that the tuning job started.public Date getCreationTime()
The date and time that the tuning job started.
public DescribeHyperParameterTuningJobResult withCreationTime(Date creationTime)
The date and time that the tuning job started.
creationTime
- The date and time that the tuning job started.public void setHyperParameterTuningEndTime(Date hyperParameterTuningEndTime)
The date and time that the tuning job ended.
hyperParameterTuningEndTime
- The date and time that the tuning job ended.public Date getHyperParameterTuningEndTime()
The date and time that the tuning job ended.
public DescribeHyperParameterTuningJobResult withHyperParameterTuningEndTime(Date hyperParameterTuningEndTime)
The date and time that the tuning job ended.
hyperParameterTuningEndTime
- The date and time that the tuning job ended.public void setLastModifiedTime(Date lastModifiedTime)
The date and time that the status of the tuning job was modified.
lastModifiedTime
- The date and time that the status of the tuning job was modified.public Date getLastModifiedTime()
The date and time that the status of the tuning job was modified.
public DescribeHyperParameterTuningJobResult withLastModifiedTime(Date lastModifiedTime)
The date and time that the status of the tuning job was modified.
lastModifiedTime
- The date and time that the status of the tuning job was modified.public void setTrainingJobStatusCounters(TrainingJobStatusCounters trainingJobStatusCounters)
The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
trainingJobStatusCounters
- The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by
status, that this tuning job launched.public TrainingJobStatusCounters getTrainingJobStatusCounters()
The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
public DescribeHyperParameterTuningJobResult withTrainingJobStatusCounters(TrainingJobStatusCounters trainingJobStatusCounters)
The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
trainingJobStatusCounters
- The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by
status, that this tuning job launched.public void setObjectiveStatusCounters(ObjectiveStatusCounters objectiveStatusCounters)
The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
objectiveStatusCounters
- The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the
status of their final objective metric, that this tuning job launched.public ObjectiveStatusCounters getObjectiveStatusCounters()
The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
public DescribeHyperParameterTuningJobResult withObjectiveStatusCounters(ObjectiveStatusCounters objectiveStatusCounters)
The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
objectiveStatusCounters
- The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the
status of their final objective metric, that this tuning job launched.public void setBestTrainingJob(HyperParameterTrainingJobSummary bestTrainingJob)
A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
bestTrainingJob
- A TrainingJobSummary object that describes the training job that completed with the best current
HyperParameterTuningJobObjective.public HyperParameterTrainingJobSummary getBestTrainingJob()
A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
public DescribeHyperParameterTuningJobResult withBestTrainingJob(HyperParameterTrainingJobSummary bestTrainingJob)
A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
bestTrainingJob
- A TrainingJobSummary object that describes the training job that completed with the best current
HyperParameterTuningJobObjective.public void setOverallBestTrainingJob(HyperParameterTrainingJobSummary overallBestTrainingJob)
If the hyperparameter tuning job is an warm start tuning job with a WarmStartType
of
IDENTICAL_DATA_AND_ALGORITHM
, this is the TrainingJobSummary for the training job with the
best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for
the warm start tuning job.
overallBestTrainingJob
- If the hyperparameter tuning job is an warm start tuning job with a WarmStartType
of
IDENTICAL_DATA_AND_ALGORITHM
, this is the TrainingJobSummary for the training job with
the best objective metric value of all training jobs launched by this tuning job and all parent jobs
specified for the warm start tuning job.public HyperParameterTrainingJobSummary getOverallBestTrainingJob()
If the hyperparameter tuning job is an warm start tuning job with a WarmStartType
of
IDENTICAL_DATA_AND_ALGORITHM
, this is the TrainingJobSummary for the training job with the
best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for
the warm start tuning job.
WarmStartType
of
IDENTICAL_DATA_AND_ALGORITHM
, this is the TrainingJobSummary for the training job
with the best objective metric value of all training jobs launched by this tuning job and all parent jobs
specified for the warm start tuning job.public DescribeHyperParameterTuningJobResult withOverallBestTrainingJob(HyperParameterTrainingJobSummary overallBestTrainingJob)
If the hyperparameter tuning job is an warm start tuning job with a WarmStartType
of
IDENTICAL_DATA_AND_ALGORITHM
, this is the TrainingJobSummary for the training job with the
best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for
the warm start tuning job.
overallBestTrainingJob
- If the hyperparameter tuning job is an warm start tuning job with a WarmStartType
of
IDENTICAL_DATA_AND_ALGORITHM
, this is the TrainingJobSummary for the training job with
the best objective metric value of all training jobs launched by this tuning job and all parent jobs
specified for the warm start tuning job.public void setWarmStartConfig(HyperParameterTuningJobWarmStartConfig warmStartConfig)
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
warmStartConfig
- The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning
jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of
hyperparameters to search over in the new tuning job.public HyperParameterTuningJobWarmStartConfig getWarmStartConfig()
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
public DescribeHyperParameterTuningJobResult withWarmStartConfig(HyperParameterTuningJobWarmStartConfig warmStartConfig)
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
warmStartConfig
- The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning
jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of
hyperparameters to search over in the new tuning job.public void setFailureReason(String failureReason)
If the tuning job failed, the reason it failed.
failureReason
- If the tuning job failed, the reason it failed.public String getFailureReason()
If the tuning job failed, the reason it failed.
public DescribeHyperParameterTuningJobResult withFailureReason(String failureReason)
If the tuning job failed, the reason it failed.
failureReason
- If the tuning job failed, the reason it failed.public String toString()
toString
in class Object
Object.toString()
public DescribeHyperParameterTuningJobResult clone()