DescribeModelVersionResult (AWS SDK for Java

java.lang.Object
- com.amazonaws.AmazonWebServiceResult<ResponseMetadata>
- - com.amazonaws.services.lookoutequipment.model.DescribeModelVersionResult

All Implemented Interfaces:: Serializable, Cloneable

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

See Also:: AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

DescribeModelVersionResult()

Constructors
Constructor and Description
`DescribeModelVersionResult()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`DescribeModelVersionResult`	`clone()`
`boolean`	`equals(Object obj)`
`String`	`getAutoPromotionResult()` Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
`String`	`getAutoPromotionResultReason()` Indicates the reason for the `AutoPromotionResult`.
`Date`	`getCreatedAt()` Indicates the time and date at which the machine learning model version was created.
`DataPreProcessingConfiguration`	`getDataPreProcessingConfiguration()`
`String`	`getDatasetArn()` The Amazon Resource Name (ARN) of the dataset used to train the model version.
`String`	`getDatasetName()` The name of the dataset used to train the model version.
`Date`	`getEvaluationDataEndTime()` The date on which the data in the evaluation set began being gathered.
`Date`	`getEvaluationDataStartTime()` The date on which the data in the evaluation set began being gathered.
`String`	`getFailedReason()` The failure message if the training of the model version failed.
`Long`	`getImportedDataSizeInBytes()` The size in bytes of the imported data.
`Date`	`getImportJobEndTime()` The date and time when the import job completed.
`Date`	`getImportJobStartTime()` The date and time when the import job began.
`LabelsInputConfiguration`	`getLabelsInputConfiguration()`
`Date`	`getLastUpdatedTime()` Indicates the last time the machine learning model version was updated.
`String`	`getModelArn()` The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
`ModelDiagnosticsOutputConfiguration`	`getModelDiagnosticsOutputConfiguration()` The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
`S3Object`	`getModelDiagnosticsResultsObject()` The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
`String`	`getModelMetrics()` Shows an aggregated summary, in JSON format, of the model's performance within the evaluation time range.
`String`	`getModelName()` The name of the machine learning model that this version belongs to.
`String`	`getModelQuality()` Provides a quality assessment for a model that uses labels.
`Long`	`getModelVersion()` The version of the machine learning model.
`String`	`getModelVersionArn()` The Amazon Resource Name (ARN) of the model version.
`String`	`getOffCondition()` Indicates that the asset associated with this sensor has been shut off.
`String`	`getPriorModelMetrics()` If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range.
`Integer`	`getRetrainingAvailableDataInDays()` Indicates the number of days of data used in the most recent scheduled retraining run.
`String`	`getRoleArn()` The Amazon Resource Name (ARN) of the role that was used to train the model version.
`String`	`getSchema()` The schema of the data used to train the model version.
`String`	`getServerSideKmsKeyId()` The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
`String`	`getSourceModelVersionArn()` If model version was imported, then this field is the arn of the source model version.
`String`	`getSourceType()` Indicates whether this model version was created by training or by importing.
`String`	`getStatus()` The current status of the model version.
`Date`	`getTrainingDataEndTime()` The date on which the training data finished being gathered.
`Date`	`getTrainingDataStartTime()` The date on which the training data began being gathered.
`Date`	`getTrainingExecutionEndTime()` The time when the training of the version completed.
`Date`	`getTrainingExecutionStartTime()` The time when the training of the version began.
`int`	`hashCode()`
`void`	`setAutoPromotionResult(String autoPromotionResult)` Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
`void`	`setAutoPromotionResultReason(String autoPromotionResultReason)` Indicates the reason for the `AutoPromotionResult`.
`void`	`setCreatedAt(Date createdAt)` Indicates the time and date at which the machine learning model version was created.
`void`	`setDataPreProcessingConfiguration(DataPreProcessingConfiguration dataPreProcessingConfiguration)`
`void`	`setDatasetArn(String datasetArn)` The Amazon Resource Name (ARN) of the dataset used to train the model version.
`void`	`setDatasetName(String datasetName)` The name of the dataset used to train the model version.
`void`	`setEvaluationDataEndTime(Date evaluationDataEndTime)` The date on which the data in the evaluation set began being gathered.
`void`	`setEvaluationDataStartTime(Date evaluationDataStartTime)` The date on which the data in the evaluation set began being gathered.
`void`	`setFailedReason(String failedReason)` The failure message if the training of the model version failed.
`void`	`setImportedDataSizeInBytes(Long importedDataSizeInBytes)` The size in bytes of the imported data.
`void`	`setImportJobEndTime(Date importJobEndTime)` The date and time when the import job completed.
`void`	`setImportJobStartTime(Date importJobStartTime)` The date and time when the import job began.
`void`	`setLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration)`
`void`	`setLastUpdatedTime(Date lastUpdatedTime)` Indicates the last time the machine learning model version was updated.
`void`	`setModelArn(String modelArn)` The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
`void`	`setModelDiagnosticsOutputConfiguration(ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration)` The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
`void`	`setModelDiagnosticsResultsObject(S3Object modelDiagnosticsResultsObject)` The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
`void`	`setModelMetrics(String modelMetrics)` Shows an aggregated summary, in JSON format, of the model's performance within the evaluation time range.
`void`	`setModelName(String modelName)` The name of the machine learning model that this version belongs to.
`void`	`setModelQuality(String modelQuality)` Provides a quality assessment for a model that uses labels.
`void`	`setModelVersion(Long modelVersion)` The version of the machine learning model.
`void`	`setModelVersionArn(String modelVersionArn)` The Amazon Resource Name (ARN) of the model version.
`void`	`setOffCondition(String offCondition)` Indicates that the asset associated with this sensor has been shut off.
`void`	`setPriorModelMetrics(String priorModelMetrics)` If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range.
`void`	`setRetrainingAvailableDataInDays(Integer retrainingAvailableDataInDays)` Indicates the number of days of data used in the most recent scheduled retraining run.
`void`	`setRoleArn(String roleArn)` The Amazon Resource Name (ARN) of the role that was used to train the model version.
`void`	`setSchema(String schema)` The schema of the data used to train the model version.
`void`	`setServerSideKmsKeyId(String serverSideKmsKeyId)` The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
`void`	`setSourceModelVersionArn(String sourceModelVersionArn)` If model version was imported, then this field is the arn of the source model version.
`void`	`setSourceType(String sourceType)` Indicates whether this model version was created by training or by importing.
`void`	`setStatus(String status)` The current status of the model version.
`void`	`setTrainingDataEndTime(Date trainingDataEndTime)` The date on which the training data finished being gathered.
`void`	`setTrainingDataStartTime(Date trainingDataStartTime)` The date on which the training data began being gathered.
`void`	`setTrainingExecutionEndTime(Date trainingExecutionEndTime)` The time when the training of the version completed.
`void`	`setTrainingExecutionStartTime(Date trainingExecutionStartTime)` The time when the training of the version began.
`String`	`toString()` Returns a string representation of this object.
`DescribeModelVersionResult`	`withAutoPromotionResult(AutoPromotionResult autoPromotionResult)` Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
`DescribeModelVersionResult`	`withAutoPromotionResult(String autoPromotionResult)` Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
`DescribeModelVersionResult`	`withAutoPromotionResultReason(String autoPromotionResultReason)` Indicates the reason for the `AutoPromotionResult`.
`DescribeModelVersionResult`	`withCreatedAt(Date createdAt)` Indicates the time and date at which the machine learning model version was created.
`DescribeModelVersionResult`	`withDataPreProcessingConfiguration(DataPreProcessingConfiguration dataPreProcessingConfiguration)`
`DescribeModelVersionResult`	`withDatasetArn(String datasetArn)` The Amazon Resource Name (ARN) of the dataset used to train the model version.
`DescribeModelVersionResult`	`withDatasetName(String datasetName)` The name of the dataset used to train the model version.
`DescribeModelVersionResult`	`withEvaluationDataEndTime(Date evaluationDataEndTime)` The date on which the data in the evaluation set began being gathered.
`DescribeModelVersionResult`	`withEvaluationDataStartTime(Date evaluationDataStartTime)` The date on which the data in the evaluation set began being gathered.
`DescribeModelVersionResult`	`withFailedReason(String failedReason)` The failure message if the training of the model version failed.
`DescribeModelVersionResult`	`withImportedDataSizeInBytes(Long importedDataSizeInBytes)` The size in bytes of the imported data.
`DescribeModelVersionResult`	`withImportJobEndTime(Date importJobEndTime)` The date and time when the import job completed.
`DescribeModelVersionResult`	`withImportJobStartTime(Date importJobStartTime)` The date and time when the import job began.
`DescribeModelVersionResult`	`withLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration)`
`DescribeModelVersionResult`	`withLastUpdatedTime(Date lastUpdatedTime)` Indicates the last time the machine learning model version was updated.
`DescribeModelVersionResult`	`withModelArn(String modelArn)` The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
`DescribeModelVersionResult`	`withModelDiagnosticsOutputConfiguration(ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration)` The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
`DescribeModelVersionResult`	`withModelDiagnosticsResultsObject(S3Object modelDiagnosticsResultsObject)` The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
`DescribeModelVersionResult`	`withModelMetrics(String modelMetrics)` Shows an aggregated summary, in JSON format, of the model's performance within the evaluation time range.
`DescribeModelVersionResult`	`withModelName(String modelName)` The name of the machine learning model that this version belongs to.
`DescribeModelVersionResult`	`withModelQuality(ModelQuality modelQuality)` Provides a quality assessment for a model that uses labels.
`DescribeModelVersionResult`	`withModelQuality(String modelQuality)` Provides a quality assessment for a model that uses labels.
`DescribeModelVersionResult`	`withModelVersion(Long modelVersion)` The version of the machine learning model.
`DescribeModelVersionResult`	`withModelVersionArn(String modelVersionArn)` The Amazon Resource Name (ARN) of the model version.
`DescribeModelVersionResult`	`withOffCondition(String offCondition)` Indicates that the asset associated with this sensor has been shut off.
`DescribeModelVersionResult`	`withPriorModelMetrics(String priorModelMetrics)` If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range.
`DescribeModelVersionResult`	`withRetrainingAvailableDataInDays(Integer retrainingAvailableDataInDays)` Indicates the number of days of data used in the most recent scheduled retraining run.
`DescribeModelVersionResult`	`withRoleArn(String roleArn)` The Amazon Resource Name (ARN) of the role that was used to train the model version.
`DescribeModelVersionResult`	`withSchema(String schema)` The schema of the data used to train the model version.
`DescribeModelVersionResult`	`withServerSideKmsKeyId(String serverSideKmsKeyId)` The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
`DescribeModelVersionResult`	`withSourceModelVersionArn(String sourceModelVersionArn)` If model version was imported, then this field is the arn of the source model version.
`DescribeModelVersionResult`	`withSourceType(ModelVersionSourceType sourceType)` Indicates whether this model version was created by training or by importing.
`DescribeModelVersionResult`	`withSourceType(String sourceType)` Indicates whether this model version was created by training or by importing.
`DescribeModelVersionResult`	`withStatus(ModelVersionStatus status)` The current status of the model version.
`DescribeModelVersionResult`	`withStatus(String status)` The current status of the model version.
`DescribeModelVersionResult`	`withTrainingDataEndTime(Date trainingDataEndTime)` The date on which the training data finished being gathered.
`DescribeModelVersionResult`	`withTrainingDataStartTime(Date trainingDataStartTime)` The date on which the training data began being gathered.
`DescribeModelVersionResult`	`withTrainingExecutionEndTime(Date trainingExecutionEndTime)` The time when the training of the version completed.
`DescribeModelVersionResult`	`withTrainingExecutionStartTime(Date trainingExecutionStartTime)` The time when the training of the version began.

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
  - DescribeModelVersionResult
```
public DescribeModelVersionResult()
```
- Method Detail
  - setModelName
```
public void setModelName(String modelName)
```
    The name of the machine learning model that this version belongs to.
    
    Parameters:
    
    modelName - The name of the machine learning model that this version belongs to.
  - getModelName
```
public String getModelName()
```
    The name of the machine learning model that this version belongs to.
    
    Returns:
    
    The name of the machine learning model that this version belongs to.
  - withModelName
```
public DescribeModelVersionResult withModelName(String modelName)
```
    The name of the machine learning model that this version belongs to.
    
    Parameters:
    
    modelName - The name of the machine learning model that this version belongs to.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelArn
```
public void setModelArn(String modelArn)
```
    The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
  - getModelArn
```
public String getModelArn()
```
    The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
  - withModelArn
```
public DescribeModelVersionResult withModelArn(String modelArn)
```
    The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelVersion
```
public void setModelVersion(Long modelVersion)
```
    The version of the machine learning model.
    
    Parameters:
    
    modelVersion - The version of the machine learning model.
  - getModelVersion
```
public Long getModelVersion()
```
    The version of the machine learning model.
    
    Returns:
    
    The version of the machine learning model.
  - withModelVersion
```
public DescribeModelVersionResult withModelVersion(Long modelVersion)
```
    The version of the machine learning model.
    
    Parameters:
    
    modelVersion - The version of the machine learning model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelVersionArn
```
public void setModelVersionArn(String modelVersionArn)
```
    The Amazon Resource Name (ARN) of the model version.
    
    Parameters:
    
    modelVersionArn - The Amazon Resource Name (ARN) of the model version.
  - getModelVersionArn
```
public String getModelVersionArn()
```
    The Amazon Resource Name (ARN) of the model version.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the model version.
  - withModelVersionArn
```
public DescribeModelVersionResult withModelVersionArn(String modelVersionArn)
```
    The Amazon Resource Name (ARN) of the model version.
    
    Parameters:
    
    modelVersionArn - The Amazon Resource Name (ARN) of the model version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setStatus
```
public void setStatus(String status)
```
    The current status of the model version.
    
    Parameters:
    
    status - The current status of the model version.
    
    See Also:
    
    ModelVersionStatus
  - getStatus
```
public String getStatus()
```
    The current status of the model version.
    
    Returns:
    
    The current status of the model version.
    
    See Also:
    
    ModelVersionStatus
  - withStatus
```
public DescribeModelVersionResult withStatus(String status)
```
    The current status of the model version.
    
    Parameters:
    
    status - The current status of the model version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelVersionStatus
  - withStatus
```
public DescribeModelVersionResult withStatus(ModelVersionStatus status)
```
    The current status of the model version.
    
    Parameters:
    
    status - The current status of the model version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelVersionStatus
  - setSourceType
```
public void setSourceType(String sourceType)
```
    Indicates whether this model version was created by training or by importing.
    
    Parameters:
    
    sourceType - Indicates whether this model version was created by training or by importing.
    
    See Also:
    
    ModelVersionSourceType
  - getSourceType
```
public String getSourceType()
```
    Indicates whether this model version was created by training or by importing.
    
    Returns:
    
    Indicates whether this model version was created by training or by importing.
    
    See Also:
    
    ModelVersionSourceType
  - withSourceType
```
public DescribeModelVersionResult withSourceType(String sourceType)
```
    Indicates whether this model version was created by training or by importing.
    
    Parameters:
    
    sourceType - Indicates whether this model version was created by training or by importing.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelVersionSourceType
  - withSourceType
```
public DescribeModelVersionResult withSourceType(ModelVersionSourceType sourceType)
```
    Indicates whether this model version was created by training or by importing.
    
    Parameters:
    
    sourceType - Indicates whether this model version was created by training or by importing.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelVersionSourceType
  - setDatasetName
```
public void setDatasetName(String datasetName)
```
    The name of the dataset used to train the model version.
    
    Parameters:
    
    datasetName - The name of the dataset used to train the model version.
  - getDatasetName
```
public String getDatasetName()
```
    The name of the dataset used to train the model version.
    
    Returns:
    
    The name of the dataset used to train the model version.
  - withDatasetName
```
public DescribeModelVersionResult withDatasetName(String datasetName)
```
    The name of the dataset used to train the model version.
    
    Parameters:
    
    datasetName - The name of the dataset used to train the model version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDatasetArn
```
public void setDatasetArn(String datasetArn)
```
    The Amazon Resource Name (ARN) of the dataset used to train the model version.
    
    Parameters:
    
    datasetArn - The Amazon Resource Name (ARN) of the dataset used to train the model version.
  - getDatasetArn
```
public String getDatasetArn()
```
    The Amazon Resource Name (ARN) of the dataset used to train the model version.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the dataset used to train the model version.
  - withDatasetArn
```
public DescribeModelVersionResult withDatasetArn(String datasetArn)
```
    The Amazon Resource Name (ARN) of the dataset used to train the model version.
    
    Parameters:
    
    datasetArn - The Amazon Resource Name (ARN) of the dataset used to train the model version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setSchema
```
public void setSchema(String schema)
```
    The schema of the data used to train the model version.
    
    Parameters:
    
    schema - The schema of the data used to train the model version.
  - getSchema
```
public String getSchema()
```
    The schema of the data used to train the model version.
    
    Returns:
    
    The schema of the data used to train the model version.
  - withSchema
```
public DescribeModelVersionResult withSchema(String schema)
```
    The schema of the data used to train the model version.
    
    Parameters:
    
    schema - The schema of the data used to train the model version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLabelsInputConfiguration
```
public void setLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration)
```
    Parameters:
    
    labelsInputConfiguration -
  - getLabelsInputConfiguration
```
public LabelsInputConfiguration getLabelsInputConfiguration()
```
    Returns:
  - withLabelsInputConfiguration
```
public DescribeModelVersionResult withLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration)
```
    Parameters:
    
    labelsInputConfiguration -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTrainingDataStartTime
```
public void setTrainingDataStartTime(Date trainingDataStartTime)
```
    The date on which the training data began being gathered. If you imported the version, this is the date that the training data in the source version began being gathered.
    
    Parameters:
    
    trainingDataStartTime - The date on which the training data began being gathered. If you imported the version, this is the date that the training data in the source version began being gathered.
  - getTrainingDataStartTime
```
public Date getTrainingDataStartTime()
```
    The date on which the training data began being gathered. If you imported the version, this is the date that the training data in the source version began being gathered.
    
    Returns:
    
    The date on which the training data began being gathered. If you imported the version, this is the date that the training data in the source version began being gathered.
  - withTrainingDataStartTime
```
public DescribeModelVersionResult withTrainingDataStartTime(Date trainingDataStartTime)
```
    The date on which the training data began being gathered. If you imported the version, this is the date that the training data in the source version began being gathered.
    
    Parameters:
    
    trainingDataStartTime - The date on which the training data began being gathered. If you imported the version, this is the date that the training data in the source version began being gathered.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTrainingDataEndTime
```
public void setTrainingDataEndTime(Date trainingDataEndTime)
```
    The date on which the training data finished being gathered. If you imported the version, this is the date that the training data in the source version finished being gathered.
    
    Parameters:
    
    trainingDataEndTime - The date on which the training data finished being gathered. If you imported the version, this is the date that the training data in the source version finished being gathered.
  - getTrainingDataEndTime
```
public Date getTrainingDataEndTime()
```
    The date on which the training data finished being gathered. If you imported the version, this is the date that the training data in the source version finished being gathered.
    
    Returns:
    
    The date on which the training data finished being gathered. If you imported the version, this is the date that the training data in the source version finished being gathered.
  - withTrainingDataEndTime
```
public DescribeModelVersionResult withTrainingDataEndTime(Date trainingDataEndTime)
```
    The date on which the training data finished being gathered. If you imported the version, this is the date that the training data in the source version finished being gathered.
    
    Parameters:
    
    trainingDataEndTime - The date on which the training data finished being gathered. If you imported the version, this is the date that the training data in the source version finished being gathered.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setEvaluationDataStartTime
```
public void setEvaluationDataStartTime(Date evaluationDataStartTime)
```
    The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version began being gathered.
    
    Parameters:
    
    evaluationDataStartTime - The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version began being gathered.
  - getEvaluationDataStartTime
```
public Date getEvaluationDataStartTime()
```
    The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version began being gathered.
    
    Returns:
    
    The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version began being gathered.
  - withEvaluationDataStartTime
```
public DescribeModelVersionResult withEvaluationDataStartTime(Date evaluationDataStartTime)
```
    The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version began being gathered.
    
    Parameters:
    
    evaluationDataStartTime - The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version began being gathered.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setEvaluationDataEndTime
```
public void setEvaluationDataEndTime(Date evaluationDataEndTime)
```
    The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version finished being gathered.
    
    Parameters:
    
    evaluationDataEndTime - The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version finished being gathered.
  - getEvaluationDataEndTime
```
public Date getEvaluationDataEndTime()
```
    The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version finished being gathered.
    
    Returns:
    
    The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version finished being gathered.
  - withEvaluationDataEndTime
```
public DescribeModelVersionResult withEvaluationDataEndTime(Date evaluationDataEndTime)
```
    The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version finished being gathered.
    
    Parameters:
    
    evaluationDataEndTime - The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version finished being gathered.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRoleArn
```
public void setRoleArn(String roleArn)
```
    The Amazon Resource Name (ARN) of the role that was used to train the model version.
    
    Parameters:
    
    roleArn - The Amazon Resource Name (ARN) of the role that was used to train the model version.
  - getRoleArn
```
public String getRoleArn()
```
    The Amazon Resource Name (ARN) of the role that was used to train the model version.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the role that was used to train the model version.
  - withRoleArn
```
public DescribeModelVersionResult withRoleArn(String roleArn)
```
    The Amazon Resource Name (ARN) of the role that was used to train the model version.
    
    Parameters:
    
    roleArn - The Amazon Resource Name (ARN) of the role that was used to train the model version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDataPreProcessingConfiguration
```
public void setDataPreProcessingConfiguration(DataPreProcessingConfiguration dataPreProcessingConfiguration)
```
    Parameters:
    
    dataPreProcessingConfiguration -
  - getDataPreProcessingConfiguration
```
public DataPreProcessingConfiguration getDataPreProcessingConfiguration()
```
    Returns:
  - withDataPreProcessingConfiguration
```
public DescribeModelVersionResult withDataPreProcessingConfiguration(DataPreProcessingConfiguration dataPreProcessingConfiguration)
```
    Parameters:
    
    dataPreProcessingConfiguration -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTrainingExecutionStartTime
```
public void setTrainingExecutionStartTime(Date trainingExecutionStartTime)
```
    The time when the training of the version began.
    
    Parameters:
    
    trainingExecutionStartTime - The time when the training of the version began.
  - getTrainingExecutionStartTime
```
public Date getTrainingExecutionStartTime()
```
    The time when the training of the version began.
    
    Returns:
    
    The time when the training of the version began.
  - withTrainingExecutionStartTime
```
public DescribeModelVersionResult withTrainingExecutionStartTime(Date trainingExecutionStartTime)
```
    The time when the training of the version began.
    
    Parameters:
    
    trainingExecutionStartTime - The time when the training of the version began.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTrainingExecutionEndTime
```
public void setTrainingExecutionEndTime(Date trainingExecutionEndTime)
```
    The time when the training of the version completed.
    
    Parameters:
    
    trainingExecutionEndTime - The time when the training of the version completed.
  - getTrainingExecutionEndTime
```
public Date getTrainingExecutionEndTime()
```
    The time when the training of the version completed.
    
    Returns:
    
    The time when the training of the version completed.
  - withTrainingExecutionEndTime
```
public DescribeModelVersionResult withTrainingExecutionEndTime(Date trainingExecutionEndTime)
```
    The time when the training of the version completed.
    
    Parameters:
    
    trainingExecutionEndTime - The time when the training of the version completed.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setFailedReason
```
public void setFailedReason(String failedReason)
```
    The failure message if the training of the model version failed.
    
    Parameters:
    
    failedReason - The failure message if the training of the model version failed.
  - getFailedReason
```
public String getFailedReason()
```
    The failure message if the training of the model version failed.
    
    Returns:
    
    The failure message if the training of the model version failed.
  - withFailedReason
```
public DescribeModelVersionResult withFailedReason(String failedReason)
```
    The failure message if the training of the model version failed.
    
    Parameters:
    
    failedReason - The failure message if the training of the model version failed.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelMetrics
```
public void setModelMetrics(String modelMetrics)
```
    Shows an aggregated summary, in JSON format, of the model's performance within the evaluation time range. These metrics are created when evaluating the model.
    
    Parameters:
    
    modelMetrics - Shows an aggregated summary, in JSON format, of the model's performance within the evaluation time range. These metrics are created when evaluating the model.
  - getModelMetrics
```
public String getModelMetrics()
```
    Shows an aggregated summary, in JSON format, of the model's performance within the evaluation time range. These metrics are created when evaluating the model.
    
    Returns:
    
    Shows an aggregated summary, in JSON format, of the model's performance within the evaluation time range. These metrics are created when evaluating the model.
  - withModelMetrics
```
public DescribeModelVersionResult withModelMetrics(String modelMetrics)
```
    Shows an aggregated summary, in JSON format, of the model's performance within the evaluation time range. These metrics are created when evaluating the model.
    
    Parameters:
    
    modelMetrics - Shows an aggregated summary, in JSON format, of the model's performance within the evaluation time range. These metrics are created when evaluating the model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLastUpdatedTime
```
public void setLastUpdatedTime(Date lastUpdatedTime)
```
    Indicates the last time the machine learning model version was updated.
    
    Parameters:
    
    lastUpdatedTime - Indicates the last time the machine learning model version was updated.
  - getLastUpdatedTime
```
public Date getLastUpdatedTime()
```
    Indicates the last time the machine learning model version was updated.
    
    Returns:
    
    Indicates the last time the machine learning model version was updated.
  - withLastUpdatedTime
```
public DescribeModelVersionResult withLastUpdatedTime(Date lastUpdatedTime)
```
    Indicates the last time the machine learning model version was updated.
    
    Parameters:
    
    lastUpdatedTime - Indicates the last time the machine learning model version was updated.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCreatedAt
```
public void setCreatedAt(Date createdAt)
```
    Indicates the time and date at which the machine learning model version was created.
    
    Parameters:
    
    createdAt - Indicates the time and date at which the machine learning model version was created.
  - getCreatedAt
```
public Date getCreatedAt()
```
    Indicates the time and date at which the machine learning model version was created.
    
    Returns:
    
    Indicates the time and date at which the machine learning model version was created.
  - withCreatedAt
```
public DescribeModelVersionResult withCreatedAt(Date createdAt)
```
    Indicates the time and date at which the machine learning model version was created.
    
    Parameters:
    
    createdAt - Indicates the time and date at which the machine learning model version was created.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setServerSideKmsKeyId
```
public void setServerSideKmsKeyId(String serverSideKmsKeyId)
```
    The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
    
    Parameters:
    
    serverSideKmsKeyId - The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
  - getServerSideKmsKeyId
```
public String getServerSideKmsKeyId()
```
    The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
    
    Returns:
    
    The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
  - withServerSideKmsKeyId
```
public DescribeModelVersionResult withServerSideKmsKeyId(String serverSideKmsKeyId)
```
    The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
    
    Parameters:
    
    serverSideKmsKeyId - The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setOffCondition
```
public void setOffCondition(String offCondition)
```
    Indicates that the asset associated with this sensor has been shut off. As long as this condition is met, Lookout for Equipment will not use data from this asset for training, evaluation, or inference.
    
    Parameters:
    
    offCondition - Indicates that the asset associated with this sensor has been shut off. As long as this condition is met, Lookout for Equipment will not use data from this asset for training, evaluation, or inference.
  - getOffCondition
```
public String getOffCondition()
```
    Indicates that the asset associated with this sensor has been shut off. As long as this condition is met, Lookout for Equipment will not use data from this asset for training, evaluation, or inference.
    
    Returns:
    
    Indicates that the asset associated with this sensor has been shut off. As long as this condition is met, Lookout for Equipment will not use data from this asset for training, evaluation, or inference.
  - withOffCondition
```
public DescribeModelVersionResult withOffCondition(String offCondition)
```
    Indicates that the asset associated with this sensor has been shut off. As long as this condition is met, Lookout for Equipment will not use data from this asset for training, evaluation, or inference.
    
    Parameters:
    
    offCondition - Indicates that the asset associated with this sensor has been shut off. As long as this condition is met, Lookout for Equipment will not use data from this asset for training, evaluation, or inference.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setSourceModelVersionArn
```
public void setSourceModelVersionArn(String sourceModelVersionArn)
```
    If model version was imported, then this field is the arn of the source model version.
    
    Parameters:
    
    sourceModelVersionArn - If model version was imported, then this field is the arn of the source model version.
  - getSourceModelVersionArn
```
public String getSourceModelVersionArn()
```
    If model version was imported, then this field is the arn of the source model version.
    
    Returns:
    
    If model version was imported, then this field is the arn of the source model version.
  - withSourceModelVersionArn
```
public DescribeModelVersionResult withSourceModelVersionArn(String sourceModelVersionArn)
```
    If model version was imported, then this field is the arn of the source model version.
    
    Parameters:
    
    sourceModelVersionArn - If model version was imported, then this field is the arn of the source model version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setImportJobStartTime
```
public void setImportJobStartTime(Date importJobStartTime)
```
    The date and time when the import job began. This field appears if the model version was imported.
    
    Parameters:
    
    importJobStartTime - The date and time when the import job began. This field appears if the model version was imported.
  - getImportJobStartTime
```
public Date getImportJobStartTime()
```
    The date and time when the import job began. This field appears if the model version was imported.
    
    Returns:
    
    The date and time when the import job began. This field appears if the model version was imported.
  - withImportJobStartTime
```
public DescribeModelVersionResult withImportJobStartTime(Date importJobStartTime)
```
    The date and time when the import job began. This field appears if the model version was imported.
    
    Parameters:
    
    importJobStartTime - The date and time when the import job began. This field appears if the model version was imported.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setImportJobEndTime
```
public void setImportJobEndTime(Date importJobEndTime)
```
    The date and time when the import job completed. This field appears if the model version was imported.
    
    Parameters:
    
    importJobEndTime - The date and time when the import job completed. This field appears if the model version was imported.
  - getImportJobEndTime
```
public Date getImportJobEndTime()
```
    The date and time when the import job completed. This field appears if the model version was imported.
    
    Returns:
    
    The date and time when the import job completed. This field appears if the model version was imported.
  - withImportJobEndTime
```
public DescribeModelVersionResult withImportJobEndTime(Date importJobEndTime)
```
    The date and time when the import job completed. This field appears if the model version was imported.
    
    Parameters:
    
    importJobEndTime - The date and time when the import job completed. This field appears if the model version was imported.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setImportedDataSizeInBytes
```
public void setImportedDataSizeInBytes(Long importedDataSizeInBytes)
```
    The size in bytes of the imported data. This field appears if the model version was imported.
    
    Parameters:
    
    importedDataSizeInBytes - The size in bytes of the imported data. This field appears if the model version was imported.
  - getImportedDataSizeInBytes
```
public Long getImportedDataSizeInBytes()
```
    The size in bytes of the imported data. This field appears if the model version was imported.
    
    Returns:
    
    The size in bytes of the imported data. This field appears if the model version was imported.
  - withImportedDataSizeInBytes
```
public DescribeModelVersionResult withImportedDataSizeInBytes(Long importedDataSizeInBytes)
```
    The size in bytes of the imported data. This field appears if the model version was imported.
    
    Parameters:
    
    importedDataSizeInBytes - The size in bytes of the imported data. This field appears if the model version was imported.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setPriorModelMetrics
```
public void setPriorModelMetrics(String priorModelMetrics)
```
    If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range. You can use the information in this JSON-formatted object to compare the new model version and the prior model version.
    
    Parameters:
    
    priorModelMetrics - If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range. You can use the information in this JSON-formatted object to compare the new model version and the prior model version.
  - getPriorModelMetrics
```
public String getPriorModelMetrics()
```
    If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range. You can use the information in this JSON-formatted object to compare the new model version and the prior model version.
    
    Returns:
    
    If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range. You can use the information in this JSON-formatted object to compare the new model version and the prior model version.
  - withPriorModelMetrics
```
public DescribeModelVersionResult withPriorModelMetrics(String priorModelMetrics)
```
    If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range. You can use the information in this JSON-formatted object to compare the new model version and the prior model version.
    
    Parameters:
    
    priorModelMetrics - If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range. You can use the information in this JSON-formatted object to compare the new model version and the prior model version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRetrainingAvailableDataInDays
```
public void setRetrainingAvailableDataInDays(Integer retrainingAvailableDataInDays)
```
    Indicates the number of days of data used in the most recent scheduled retraining run.
    
    Parameters:
    
    retrainingAvailableDataInDays - Indicates the number of days of data used in the most recent scheduled retraining run.
  - getRetrainingAvailableDataInDays
```
public Integer getRetrainingAvailableDataInDays()
```
    Indicates the number of days of data used in the most recent scheduled retraining run.
    
    Returns:
    
    Indicates the number of days of data used in the most recent scheduled retraining run.
  - withRetrainingAvailableDataInDays
```
public DescribeModelVersionResult withRetrainingAvailableDataInDays(Integer retrainingAvailableDataInDays)
```
    Indicates the number of days of data used in the most recent scheduled retraining run.
    
    Parameters:
    
    retrainingAvailableDataInDays - Indicates the number of days of data used in the most recent scheduled retraining run.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setAutoPromotionResult
```
public void setAutoPromotionResult(String autoPromotionResult)
```
    Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
    
    Parameters:
    
    autoPromotionResult - Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
    
    See Also:
    
    AutoPromotionResult
  - getAutoPromotionResult
```
public String getAutoPromotionResult()
```
    Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
    
    Returns:
    
    Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
    
    See Also:
    
    AutoPromotionResult
  - withAutoPromotionResult
```
public DescribeModelVersionResult withAutoPromotionResult(String autoPromotionResult)
```
    Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
    
    Parameters:
    
    autoPromotionResult - Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    AutoPromotionResult
  - withAutoPromotionResult
```
public DescribeModelVersionResult withAutoPromotionResult(AutoPromotionResult autoPromotionResult)
```
    Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
    
    Parameters:
    
    autoPromotionResult - Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    AutoPromotionResult
  - setAutoPromotionResultReason
```
public void setAutoPromotionResultReason(String autoPromotionResultReason)
```
    Indicates the reason for the AutoPromotionResult. For example, a model might not be promoted if its performance was worse than the active version, if there was an error during training, or if the retraining scheduler was using MANUAL promote mode. The model will be promoted in MANAGED promote mode if the performance is better than the previous model.
    
    Parameters:
    
    autoPromotionResultReason - Indicates the reason for the AutoPromotionResult. For example, a model might not be promoted if its performance was worse than the active version, if there was an error during training, or if the retraining scheduler was using MANUAL promote mode. The model will be promoted in MANAGED promote mode if the performance is better than the previous model.
  - getAutoPromotionResultReason
```
public String getAutoPromotionResultReason()
```
    Indicates the reason for the AutoPromotionResult. For example, a model might not be promoted if its performance was worse than the active version, if there was an error during training, or if the retraining scheduler was using MANUAL promote mode. The model will be promoted in MANAGED promote mode if the performance is better than the previous model.
    
    Returns:
    
    Indicates the reason for the AutoPromotionResult. For example, a model might not be promoted if its performance was worse than the active version, if there was an error during training, or if the retraining scheduler was using MANUAL promote mode. The model will be promoted in MANAGED promote mode if the performance is better than the previous model.
  - withAutoPromotionResultReason
```
public DescribeModelVersionResult withAutoPromotionResultReason(String autoPromotionResultReason)
```
    Indicates the reason for the AutoPromotionResult. For example, a model might not be promoted if its performance was worse than the active version, if there was an error during training, or if the retraining scheduler was using MANUAL promote mode. The model will be promoted in MANAGED promote mode if the performance is better than the previous model.
    
    Parameters:
    
    autoPromotionResultReason - Indicates the reason for the AutoPromotionResult. For example, a model might not be promoted if its performance was worse than the active version, if there was an error during training, or if the retraining scheduler was using MANUAL promote mode. The model will be promoted in MANAGED promote mode if the performance is better than the previous model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelDiagnosticsOutputConfiguration
```
public void setModelDiagnosticsOutputConfiguration(ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration)
```
    The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
    
    Parameters:
    
    modelDiagnosticsOutputConfiguration - The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
  - getModelDiagnosticsOutputConfiguration
```
public ModelDiagnosticsOutputConfiguration getModelDiagnosticsOutputConfiguration()
```
    The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
    
    Returns:
    
    The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
  - withModelDiagnosticsOutputConfiguration
```
public DescribeModelVersionResult withModelDiagnosticsOutputConfiguration(ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration)
```
    The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
    
    Parameters:
    
    modelDiagnosticsOutputConfiguration - The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelDiagnosticsResultsObject
```
public void setModelDiagnosticsResultsObject(S3Object modelDiagnosticsResultsObject)
```
    The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
    
    Parameters:
    
    modelDiagnosticsResultsObject - The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
  - getModelDiagnosticsResultsObject
```
public S3Object getModelDiagnosticsResultsObject()
```
    The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
    
    Returns:
    
    The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
  - withModelDiagnosticsResultsObject
```
public DescribeModelVersionResult withModelDiagnosticsResultsObject(S3Object modelDiagnosticsResultsObject)
```
    The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
    
    Parameters:
    
    modelDiagnosticsResultsObject - The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelQuality
```
public void setModelQuality(String modelQuality)
```
    Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.
    
    If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.
    
    For information about using labels with your models, see Understanding labeling.
    
    For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.
    
    Parameters:
    
    modelQuality - Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.
    
    If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.
    
    For information about using labels with your models, see Understanding labeling.
    
    For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.
    
    See Also:
    
    ModelQuality
  - getModelQuality
```
public String getModelQuality()
```
    Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.
    
    If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.
    
    For information about using labels with your models, see Understanding labeling.
    
    For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.
    
    Returns:
    
    Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.
    
    If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.
    
    For information about using labels with your models, see Understanding labeling.
    
    For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.
    
    See Also:
    
    ModelQuality
  - withModelQuality
```
public DescribeModelVersionResult withModelQuality(String modelQuality)
```
    Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.
    
    If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.
    
    For information about using labels with your models, see Understanding labeling.
    
    For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.
    
    Parameters:
    
    modelQuality - Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.
    
    If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.
    
    For information about using labels with your models, see Understanding labeling.
    
    For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelQuality
  - withModelQuality
```
public DescribeModelVersionResult withModelQuality(ModelQuality modelQuality)
```
    Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.
    
    If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.
    
    For information about using labels with your models, see Understanding labeling.
    
    For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.
    
    Parameters:
    
    modelQuality - Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.
    
    If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.
    
    For information about using labels with your models, see Understanding labeling.
    
    For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelQuality
  - 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 DescribeModelVersionResult clone()
```
    Overrides:
    
    clone in class Object

AWS SDK for Java 1.x API Reference - 1.12.780

Class DescribeModelVersionResult

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.AmazonWebServiceResult

Methods inherited from class java.lang.Object

Constructor Detail

DescribeModelVersionResult

Method Detail

setModelName

getModelName

withModelName

setModelArn

getModelArn

withModelArn

setModelVersion

getModelVersion

withModelVersion

setModelVersionArn

getModelVersionArn

withModelVersionArn

setStatus

getStatus

withStatus

withStatus

setSourceType

getSourceType

withSourceType

withSourceType

setDatasetName

getDatasetName

withDatasetName

setDatasetArn

getDatasetArn

withDatasetArn

setSchema

getSchema

withSchema

setLabelsInputConfiguration

getLabelsInputConfiguration

withLabelsInputConfiguration

setTrainingDataStartTime

getTrainingDataStartTime

withTrainingDataStartTime

setTrainingDataEndTime

getTrainingDataEndTime

withTrainingDataEndTime

setEvaluationDataStartTime

getEvaluationDataStartTime

withEvaluationDataStartTime

setEvaluationDataEndTime

getEvaluationDataEndTime

withEvaluationDataEndTime

setRoleArn

getRoleArn

withRoleArn

setDataPreProcessingConfiguration

getDataPreProcessingConfiguration

withDataPreProcessingConfiguration

setTrainingExecutionStartTime

getTrainingExecutionStartTime

withTrainingExecutionStartTime

setTrainingExecutionEndTime

getTrainingExecutionEndTime

withTrainingExecutionEndTime

setFailedReason

getFailedReason

withFailedReason

setModelMetrics

getModelMetrics

withModelMetrics

setLastUpdatedTime

getLastUpdatedTime

withLastUpdatedTime

setCreatedAt

getCreatedAt

withCreatedAt

setServerSideKmsKeyId

getServerSideKmsKeyId

withServerSideKmsKeyId