@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class HyperParameterTuningJobSummary extends Object implements Serializable, Cloneable, StructuredPojo
Provides summary information about a hyperparameter tuning job.
Constructor and Description |
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HyperParameterTuningJobSummary() |
Modifier and Type | Method and Description |
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HyperParameterTuningJobSummary |
clone() |
boolean |
equals(Object obj) |
Date |
getCreationTime()
The date and time that the tuning job was created.
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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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String |
getHyperParameterTuningJobName()
The name of the tuning job.
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String |
getHyperParameterTuningJobStatus()
The status of the tuning job.
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Date |
getLastModifiedTime()
The date and time that the tuning job was modified.
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ObjectiveStatusCounters |
getObjectiveStatusCounters()
The object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning
job launched.
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ResourceLimits |
getResourceLimits()
The object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning
job.
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String |
getStrategy()
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each
iteration.
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TrainingJobStatusCounters |
getTrainingJobStatusCounters()
The object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
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int |
hashCode() |
void |
marshall(ProtocolMarshaller protocolMarshaller)
Marshalls this structured data using the given
ProtocolMarshaller . |
void |
setCreationTime(Date creationTime)
The date and time that the tuning job was created.
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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 |
setHyperParameterTuningJobName(String hyperParameterTuningJobName)
The name of the tuning job.
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void |
setHyperParameterTuningJobStatus(String hyperParameterTuningJobStatus)
The status of the tuning job.
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void |
setLastModifiedTime(Date lastModifiedTime)
The date and time that the tuning job was modified.
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void |
setObjectiveStatusCounters(ObjectiveStatusCounters objectiveStatusCounters)
The object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning
job launched.
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void |
setResourceLimits(ResourceLimits resourceLimits)
The object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning
job.
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void |
setStrategy(String strategy)
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each
iteration.
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void |
setTrainingJobStatusCounters(TrainingJobStatusCounters trainingJobStatusCounters)
The object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
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String |
toString()
Returns a string representation of this object; useful for testing and debugging.
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HyperParameterTuningJobSummary |
withCreationTime(Date creationTime)
The date and time that the tuning job was created.
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HyperParameterTuningJobSummary |
withHyperParameterTuningEndTime(Date hyperParameterTuningEndTime)
The date and time that the tuning job ended.
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HyperParameterTuningJobSummary |
withHyperParameterTuningJobArn(String hyperParameterTuningJobArn)
The Amazon Resource Name (ARN) of the tuning job.
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HyperParameterTuningJobSummary |
withHyperParameterTuningJobName(String hyperParameterTuningJobName)
The name of the tuning job.
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HyperParameterTuningJobSummary |
withHyperParameterTuningJobStatus(HyperParameterTuningJobStatus hyperParameterTuningJobStatus)
The status of the tuning job.
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HyperParameterTuningJobSummary |
withHyperParameterTuningJobStatus(String hyperParameterTuningJobStatus)
The status of the tuning job.
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HyperParameterTuningJobSummary |
withLastModifiedTime(Date lastModifiedTime)
The date and time that the tuning job was modified.
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HyperParameterTuningJobSummary |
withObjectiveStatusCounters(ObjectiveStatusCounters objectiveStatusCounters)
The object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning
job launched.
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HyperParameterTuningJobSummary |
withResourceLimits(ResourceLimits resourceLimits)
The object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning
job.
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HyperParameterTuningJobSummary |
withStrategy(HyperParameterTuningJobStrategyType strategy)
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each
iteration.
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HyperParameterTuningJobSummary |
withStrategy(String strategy)
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each
iteration.
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HyperParameterTuningJobSummary |
withTrainingJobStatusCounters(TrainingJobStatusCounters trainingJobStatusCounters)
The object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
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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 HyperParameterTuningJobSummary 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 HyperParameterTuningJobSummary withHyperParameterTuningJobArn(String hyperParameterTuningJobArn)
The Amazon Resource Name (ARN) of the tuning job.
hyperParameterTuningJobArn
- The Amazon Resource Name (ARN) of the tuning job.public void setHyperParameterTuningJobStatus(String hyperParameterTuningJobStatus)
The status of the tuning job.
hyperParameterTuningJobStatus
- The status of the tuning job.HyperParameterTuningJobStatus
public String getHyperParameterTuningJobStatus()
The status of the tuning job.
HyperParameterTuningJobStatus
public HyperParameterTuningJobSummary withHyperParameterTuningJobStatus(String hyperParameterTuningJobStatus)
The status of the tuning job.
hyperParameterTuningJobStatus
- The status of the tuning job.HyperParameterTuningJobStatus
public HyperParameterTuningJobSummary withHyperParameterTuningJobStatus(HyperParameterTuningJobStatus hyperParameterTuningJobStatus)
The status of the tuning job.
hyperParameterTuningJobStatus
- The status of the tuning job.HyperParameterTuningJobStatus
public void setStrategy(String strategy)
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.
strategy
- Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each
iteration. Currently, the only valid value is Bayesian.HyperParameterTuningJobStrategyType
public String getStrategy()
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.
HyperParameterTuningJobStrategyType
public HyperParameterTuningJobSummary withStrategy(String strategy)
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.
strategy
- Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each
iteration. Currently, the only valid value is Bayesian.HyperParameterTuningJobStrategyType
public HyperParameterTuningJobSummary withStrategy(HyperParameterTuningJobStrategyType strategy)
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.
strategy
- Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each
iteration. Currently, the only valid value is Bayesian.HyperParameterTuningJobStrategyType
public void setCreationTime(Date creationTime)
The date and time that the tuning job was created.
creationTime
- The date and time that the tuning job was created.public Date getCreationTime()
The date and time that the tuning job was created.
public HyperParameterTuningJobSummary withCreationTime(Date creationTime)
The date and time that the tuning job was created.
creationTime
- The date and time that the tuning job was created.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 HyperParameterTuningJobSummary 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 tuning job was modified.
lastModifiedTime
- The date and time that the tuning job was modified.public Date getLastModifiedTime()
The date and time that the tuning job was modified.
public HyperParameterTuningJobSummary withLastModifiedTime(Date lastModifiedTime)
The date and time that the tuning job was modified.
lastModifiedTime
- The date and time that the tuning job was modified.public void setTrainingJobStatusCounters(TrainingJobStatusCounters trainingJobStatusCounters)
The object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
trainingJobStatusCounters
- The object that specifies the numbers of training jobs, categorized by status, that this tuning job
launched.public TrainingJobStatusCounters getTrainingJobStatusCounters()
The object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
public HyperParameterTuningJobSummary withTrainingJobStatusCounters(TrainingJobStatusCounters trainingJobStatusCounters)
The object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
trainingJobStatusCounters
- The object that specifies the numbers of training jobs, categorized by status, that this tuning job
launched.public void setObjectiveStatusCounters(ObjectiveStatusCounters objectiveStatusCounters)
The object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
objectiveStatusCounters
- The object that specifies the numbers of training jobs, categorized by objective metric status, that this
tuning job launched.public ObjectiveStatusCounters getObjectiveStatusCounters()
The object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
public HyperParameterTuningJobSummary withObjectiveStatusCounters(ObjectiveStatusCounters objectiveStatusCounters)
The object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
objectiveStatusCounters
- The object that specifies the numbers of training jobs, categorized by objective metric status, that this
tuning job launched.public void setResourceLimits(ResourceLimits resourceLimits)
The object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
resourceLimits
- The object that specifies the maximum number of training jobs and parallel training jobs allowed for this
tuning job.public ResourceLimits getResourceLimits()
The object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
public HyperParameterTuningJobSummary withResourceLimits(ResourceLimits resourceLimits)
The object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
resourceLimits
- The object that specifies the maximum number of training jobs and parallel training jobs allowed for this
tuning job.public String toString()
toString
in class Object
Object.toString()
public HyperParameterTuningJobSummary clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojo
ProtocolMarshaller
.marshall
in interface StructuredPojo
protocolMarshaller
- Implementation of ProtocolMarshaller
used to marshall this object's data.Copyright © 2013 Amazon Web Services, Inc. All Rights Reserved.