java.lang.Object
- software.amazon.awssdk.core.SdkResponse
- - software.amazon.awssdk.awscore.AwsResponse
  - - software.amazon.awssdk.services.lookoutequipment.model.LookoutEquipmentResponse
    - - software.amazon.awssdk.services.lookoutequipment.model.DescribeModelResponse

All Implemented Interfaces:: SdkPojo, ToCopyableBuilder<DescribeModelResponse.Builder,DescribeModelResponse>

@Generated("software.amazon.awssdk:codegen")
public final class DescribeModelResponse
extends LookoutEquipmentResponse
implements ToCopyableBuilder<DescribeModelResponse.Builder,DescribeModelResponse>

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static interface DescribeModelResponse.Builder

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Instant`	`accumulatedInferenceDataEndTime()`	Indicates the end time of the inference data that has been accumulated.
`Instant`	`accumulatedInferenceDataStartTime()`	Indicates the start time of the inference data that has been accumulated.
`Long`	`activeModelVersion()`	The name of the model version used by the inference schedular when running a scheduled inference execution.
`String`	`activeModelVersionArn()`	The Amazon Resource Name (ARN) of the model version used by the inference scheduler when running a scheduled inference execution.
`static DescribeModelResponse.Builder`	`builder()`
`Instant`	`createdAt()`	Indicates the time and date at which the machine learning model was created.
`DataPreProcessingConfiguration`	`dataPreProcessingConfiguration()`	The configuration is the `TargetSamplingRate`, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment.
`String`	`datasetArn()`	The Amazon Resouce Name (ARN) of the dataset used to create the machine learning model being described.
`String`	`datasetName()`	The name of the dataset being used by the machine learning being described.
`boolean`	`equals(Object obj)`
`boolean`	`equalsBySdkFields(Object obj)`
`Instant`	`evaluationDataEndTime()`	Indicates the time reference in the dataset that was used to end the subset of evaluation data for the machine learning model.
`Instant`	`evaluationDataStartTime()`	Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the machine learning model.
`String`	`failedReason()`	If the training of the machine learning model failed, this indicates the reason for that failure.
`<T> Optional<T>`	`getValueForField(String fieldName, Class<T> clazz)`
`int`	`hashCode()`
`Instant`	`importJobEndTime()`	The date and time when the import job was completed.
`Instant`	`importJobStartTime()`	The date and time when the import job was started.
`LabelsInputConfiguration`	`labelsInputConfiguration()`	Specifies configuration information about the labels input, including its S3 location.
`Instant`	`lastUpdatedTime()`	Indicates the last time the machine learning model was updated.
`Integer`	`latestScheduledRetrainingAvailableDataInDays()`	Indicates the number of days of data used in the most recent scheduled retraining run.
`String`	`latestScheduledRetrainingFailedReason()`	If the model version was generated by retraining and the training failed, this indicates the reason for that failure.
`Long`	`latestScheduledRetrainingModelVersion()`	Indicates the most recent model version that was generated by retraining.
`Instant`	`latestScheduledRetrainingStartTime()`	Indicates the start time of the most recent scheduled retraining run.
`ModelVersionStatus`	`latestScheduledRetrainingStatus()`	Indicates the status of the most recent scheduled retraining run.
`String`	`latestScheduledRetrainingStatusAsString()`	Indicates the status of the most recent scheduled retraining run.
`String`	`modelArn()`	The Amazon Resource Name (ARN) of the machine learning model being described.
`ModelDiagnosticsOutputConfiguration`	`modelDiagnosticsOutputConfiguration()`	Configuration information for the model's pointwise model diagnostics.
`String`	`modelMetrics()`	The Model Metrics show an aggregated summary of the model's performance within the evaluation time range.
`String`	`modelName()`	The name of the machine learning model being described.
`ModelQuality`	`modelQuality()`	Provides a quality assessment for a model that uses labels.
`String`	`modelQualityAsString()`	Provides a quality assessment for a model that uses labels.
`Instant`	`modelVersionActivatedAt()`	The date the active model version was activated.
`Instant`	`nextScheduledRetrainingStartDate()`	Indicates the date and time that the next scheduled retraining run will start on.
`String`	`offCondition()`	Indicates that the asset associated with this sensor has been shut off.
`Long`	`previousActiveModelVersion()`	The model version that was set as the active model version prior to the current active model version.
`String`	`previousActiveModelVersionArn()`	The ARN of the model version that was set as the active model version prior to the current active model version.
`Instant`	`previousModelVersionActivatedAt()`	The date and time when the previous active model version was activated.
`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.
`RetrainingSchedulerStatus`	`retrainingSchedulerStatus()`	Indicates the status of the retraining scheduler.
`String`	`retrainingSchedulerStatusAsString()`	Indicates the status of the retraining scheduler.
`String`	`roleArn()`	The Amazon Resource Name (ARN) of a role with permission to access the data source for the machine learning model being described.
`String`	`schema()`	A JSON description of the data that is in each time series dataset, including names, column names, and data types.
`List<SdkField<?>>`	`sdkFields()`
`static Class<? extends DescribeModelResponse.Builder>`	`serializableBuilderClass()`
`String`	`serverSideKmsKeyId()`	Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.
`String`	`sourceModelVersionArn()`	The Amazon Resource Name (ARN) of the source model version.
`ModelStatus`	`status()`	Specifies the current status of the model being described.
`String`	`statusAsString()`	Specifies the current status of the model being described.
`DescribeModelResponse.Builder`	`toBuilder()`
`String`	`toString()`	Returns a string representation of this object.
`Instant`	`trainingDataEndTime()`	Indicates the time reference in the dataset that was used to end the subset of training data for the machine learning model.
`Instant`	`trainingDataStartTime()`	Indicates the time reference in the dataset that was used to begin the subset of training data for the machine learning model.
`Instant`	`trainingExecutionEndTime()`	Indicates the time at which the training of the machine learning model was completed.
`Instant`	`trainingExecutionStartTime()`	Indicates the time at which the training of the machine learning model began.

Methods inherited from class software.amazon.awssdk.services.lookoutequipment.model.LookoutEquipmentResponse
responseMetadata

Methods inherited from class software.amazon.awssdk.core.SdkResponse
sdkHttpResponse

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

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy

- Method Detail
  - modelName
```
public final String modelName()
```
    The name of the machine learning model being described.
    
    Returns:
    
    The name of the machine learning model being described.
  - modelArn
```
public final String modelArn()
```
    The Amazon Resource Name (ARN) of the machine learning model being described.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the machine learning model being described.
  - datasetName
```
public final String datasetName()
```
    The name of the dataset being used by the machine learning being described.
    
    Returns:
    
    The name of the dataset being used by the machine learning being described.
  - datasetArn
```
public final String datasetArn()
```
    The Amazon Resouce Name (ARN) of the dataset used to create the machine learning model being described.
    
    Returns:
    
    The Amazon Resouce Name (ARN) of the dataset used to create the machine learning model being described.
  - schema
```
public final String schema()
```
    A JSON description of the data that is in each time series dataset, including names, column names, and data types.
    
    Returns:
    
    A JSON description of the data that is in each time series dataset, including names, column names, and data types.
  - labelsInputConfiguration
```
public final LabelsInputConfiguration labelsInputConfiguration()
```
    Specifies configuration information about the labels input, including its S3 location.
    
    Returns:
    
    Specifies configuration information about the labels input, including its S3 location.
  - trainingDataStartTime
```
public final Instant trainingDataStartTime()
```
    Indicates the time reference in the dataset that was used to begin the subset of training data for the machine learning model.
    
    Returns:
    
    Indicates the time reference in the dataset that was used to begin the subset of training data for the machine learning model.
  - trainingDataEndTime
```
public final Instant trainingDataEndTime()
```
    Indicates the time reference in the dataset that was used to end the subset of training data for the machine learning model.
    
    Returns:
    
    Indicates the time reference in the dataset that was used to end the subset of training data for the machine learning model.
  - evaluationDataStartTime
```
public final Instant evaluationDataStartTime()
```
    Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the machine learning model.
    
    Returns:
    
    Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the machine learning model.
  - evaluationDataEndTime
```
public final Instant evaluationDataEndTime()
```
    Indicates the time reference in the dataset that was used to end the subset of evaluation data for the machine learning model.
    
    Returns:
    
    Indicates the time reference in the dataset that was used to end the subset of evaluation data for the machine learning model.
  - roleArn
```
public final String roleArn()
```
    The Amazon Resource Name (ARN) of a role with permission to access the data source for the machine learning model being described.
    
    Returns:
    
    The Amazon Resource Name (ARN) of a role with permission to access the data source for the machine learning model being described.
  - dataPreProcessingConfiguration
```
public final DataPreProcessingConfiguration dataPreProcessingConfiguration()
```
    The configuration is the TargetSamplingRate, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the TargetSamplingRate is 1 minute.
    
    When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and the value for a 1 hour rate is PT1H
    
    Returns:
    
    The configuration is the TargetSamplingRate, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the TargetSamplingRate is 1 minute.
    
    When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and the value for a 1 hour rate is PT1H
  - status
```
public final ModelStatus status()
```
    Specifies the current status of the model being described. Status describes the status of the most recent action of the model.
    
    If the service returns an enum value that is not available in the current SDK version, status will return ModelStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from statusAsString().
    
    Returns:
    
    Specifies the current status of the model being described. Status describes the status of the most recent action of the model.
    
    See Also:
    
    ModelStatus
  - statusAsString
```
public final String statusAsString()
```
    Specifies the current status of the model being described. Status describes the status of the most recent action of the model.
    
    If the service returns an enum value that is not available in the current SDK version, status will return ModelStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from statusAsString().
    
    Returns:
    
    Specifies the current status of the model being described. Status describes the status of the most recent action of the model.
    
    See Also:
    
    ModelStatus
  - trainingExecutionStartTime
```
public final Instant trainingExecutionStartTime()
```
    Indicates the time at which the training of the machine learning model began.
    
    Returns:
    
    Indicates the time at which the training of the machine learning model began.
  - trainingExecutionEndTime
```
public final Instant trainingExecutionEndTime()
```
    Indicates the time at which the training of the machine learning model was completed.
    
    Returns:
    
    Indicates the time at which the training of the machine learning model was completed.
  - failedReason
```
public final String failedReason()
```
    If the training of the machine learning model failed, this indicates the reason for that failure.
    
    Returns:
    
    If the training of the machine learning model failed, this indicates the reason for that failure.
  - modelMetrics
```
public final String modelMetrics()
```
    The Model Metrics show an aggregated summary of the model's performance within the evaluation time range. This is the JSON content of the metrics created when evaluating the model.
    
    Returns:
    
    The Model Metrics show an aggregated summary of the model's performance within the evaluation time range. This is the JSON content of the metrics created when evaluating the model.
  - lastUpdatedTime
```
public final Instant lastUpdatedTime()
```
    Indicates the last time the machine learning model was updated. The type of update is not specified.
    
    Returns:
    
    Indicates the last time the machine learning model was updated. The type of update is not specified.
  - createdAt
```
public final Instant createdAt()
```
    Indicates the time and date at which the machine learning model was created.
    
    Returns:
    
    Indicates the time and date at which the machine learning model was created.
  - serverSideKmsKeyId
```
public final String serverSideKmsKeyId()
```
    Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.
    
    Returns:
    
    Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.
  - offCondition
```
public final 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.
    
    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.
  - sourceModelVersionArn
```
public final String sourceModelVersionArn()
```
    The Amazon Resource Name (ARN) of the source model version. This field appears if the active model version was imported.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the source model version. This field appears if the active model version was imported.
  - importJobStartTime
```
public final Instant importJobStartTime()
```
    The date and time when the import job was started. This field appears if the active model version was imported.
    
    Returns:
    
    The date and time when the import job was started. This field appears if the active model version was imported.
  - importJobEndTime
```
public final Instant importJobEndTime()
```
    The date and time when the import job was completed. This field appears if the active model version was imported.
    
    Returns:
    
    The date and time when the import job was completed. This field appears if the active model version was imported.
  - activeModelVersion
```
public final Long activeModelVersion()
```
    The name of the model version used by the inference schedular when running a scheduled inference execution.
    
    Returns:
    
    The name of the model version used by the inference schedular when running a scheduled inference execution.
  - activeModelVersionArn
```
public final String activeModelVersionArn()
```
    The Amazon Resource Name (ARN) of the model version used by the inference scheduler when running a scheduled inference execution.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the model version used by the inference scheduler when running a scheduled inference execution.
  - modelVersionActivatedAt
```
public final Instant modelVersionActivatedAt()
```
    The date the active model version was activated.
    
    Returns:
    
    The date the active model version was activated.
  - previousActiveModelVersion
```
public final Long previousActiveModelVersion()
```
    The model version that was set as the active model version prior to the current active model version.
    
    Returns:
    
    The model version that was set as the active model version prior to the current active model version.
  - previousActiveModelVersionArn
```
public final String previousActiveModelVersionArn()
```
    The ARN of the model version that was set as the active model version prior to the current active model version.
    
    Returns:
    
    The ARN of the model version that was set as the active model version prior to the current active model version.
  - previousModelVersionActivatedAt
```
public final Instant previousModelVersionActivatedAt()
```
    The date and time when the previous active model version was activated.
    
    Returns:
    
    The date and time when the previous active model version was activated.
  - priorModelMetrics
```
public final 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.
    
    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.
  - latestScheduledRetrainingFailedReason
```
public final String latestScheduledRetrainingFailedReason()
```
    If the model version was generated by retraining and the training failed, this indicates the reason for that failure.
    
    Returns:
    
    If the model version was generated by retraining and the training failed, this indicates the reason for that failure.
  - latestScheduledRetrainingStatus
```
public final ModelVersionStatus latestScheduledRetrainingStatus()
```
    Indicates the status of the most recent scheduled retraining run.
    
    If the service returns an enum value that is not available in the current SDK version, latestScheduledRetrainingStatus will return ModelVersionStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from latestScheduledRetrainingStatusAsString().
    
    Returns:
    
    Indicates the status of the most recent scheduled retraining run.
    
    See Also:
    
    ModelVersionStatus
  - latestScheduledRetrainingStatusAsString
```
public final String latestScheduledRetrainingStatusAsString()
```
    Indicates the status of the most recent scheduled retraining run.
    
    If the service returns an enum value that is not available in the current SDK version, latestScheduledRetrainingStatus will return ModelVersionStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from latestScheduledRetrainingStatusAsString().
    
    Returns:
    
    Indicates the status of the most recent scheduled retraining run.
    
    See Also:
    
    ModelVersionStatus
  - latestScheduledRetrainingModelVersion
```
public final Long latestScheduledRetrainingModelVersion()
```
    Indicates the most recent model version that was generated by retraining.
    
    Returns:
    
    Indicates the most recent model version that was generated by retraining.
  - latestScheduledRetrainingStartTime
```
public final Instant latestScheduledRetrainingStartTime()
```
    Indicates the start time of the most recent scheduled retraining run.
    
    Returns:
    
    Indicates the start time of the most recent scheduled retraining run.
  - latestScheduledRetrainingAvailableDataInDays
```
public final Integer latestScheduledRetrainingAvailableDataInDays()
```
    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.
  - nextScheduledRetrainingStartDate
```
public final Instant nextScheduledRetrainingStartDate()
```
    Indicates the date and time that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.
    
    Returns:
    
    Indicates the date and time that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.
  - accumulatedInferenceDataStartTime
```
public final Instant accumulatedInferenceDataStartTime()
```
    Indicates the start time of the inference data that has been accumulated.
    
    Returns:
    
    Indicates the start time of the inference data that has been accumulated.
  - accumulatedInferenceDataEndTime
```
public final Instant accumulatedInferenceDataEndTime()
```
    Indicates the end time of the inference data that has been accumulated.
    
    Returns:
    
    Indicates the end time of the inference data that has been accumulated.
  - retrainingSchedulerStatus
```
public final RetrainingSchedulerStatus retrainingSchedulerStatus()
```
    Indicates the status of the retraining scheduler.
    
    If the service returns an enum value that is not available in the current SDK version, retrainingSchedulerStatus will return RetrainingSchedulerStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from retrainingSchedulerStatusAsString().
    
    Returns:
    
    Indicates the status of the retraining scheduler.
    
    See Also:
    
    RetrainingSchedulerStatus
  - retrainingSchedulerStatusAsString
```
public final String retrainingSchedulerStatusAsString()
```
    Indicates the status of the retraining scheduler.
    
    If the service returns an enum value that is not available in the current SDK version, retrainingSchedulerStatus will return RetrainingSchedulerStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from retrainingSchedulerStatusAsString().
    
    Returns:
    
    Indicates the status of the retraining scheduler.
    
    See Also:
    
    RetrainingSchedulerStatus
  - modelDiagnosticsOutputConfiguration
```
public final ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration()
```
    Configuration information for the model's pointwise model diagnostics.
    
    Returns:
    
    Configuration information for the model's pointwise model diagnostics.
  - modelQuality
```
public final 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.
    
    If the service returns an enum value that is not available in the current SDK version, modelQuality will return ModelQuality.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from modelQualityAsString().
    
    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
  - modelQualityAsString
```
public final String modelQualityAsString()
```
    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.
    
    If the service returns an enum value that is not available in the current SDK version, modelQuality will return ModelQuality.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from modelQualityAsString().
    
    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
  - toBuilder
```
public DescribeModelResponse.Builder toBuilder()
```
    Specified by:
    
    toBuilder in interface ToCopyableBuilder<DescribeModelResponse.Builder,DescribeModelResponse>
    
    Specified by:
    
    toBuilder in class AwsResponse
  - builder
```
public static DescribeModelResponse.Builder builder()
```
  - serializableBuilderClass
```
public static Class<? extends DescribeModelResponse.Builder> serializableBuilderClass()
```
  - hashCode
```
public final int hashCode()
```
    Overrides:
    
    hashCode in class AwsResponse
  - equals
```
public final boolean equals(Object obj)
```
    Overrides:
    
    equals in class AwsResponse
  - equalsBySdkFields
```
public final boolean equalsBySdkFields(Object obj)
```
    Specified by:
    
    equalsBySdkFields in interface SdkPojo
  - toString
```
public final 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
  - getValueForField
```
public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)
```
    Overrides:
    
    getValueForField in class SdkResponse
  - sdkFields
```
public final List<SdkField<?>> sdkFields()
```
    Specified by:
    
    sdkFields in interface SdkPojo

Class DescribeModelResponse

Nested Class Summary

Method Summary

Methods inherited from class software.amazon.awssdk.services.lookoutequipment.model.LookoutEquipmentResponse

Methods inherited from class software.amazon.awssdk.core.SdkResponse

Methods inherited from class java.lang.Object

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder

Method Detail

modelName

modelArn

datasetName

datasetArn

schema

labelsInputConfiguration

trainingDataStartTime

trainingDataEndTime

evaluationDataStartTime

evaluationDataEndTime

roleArn

dataPreProcessingConfiguration

status

statusAsString

trainingExecutionStartTime

trainingExecutionEndTime

failedReason

modelMetrics

lastUpdatedTime

createdAt

serverSideKmsKeyId

offCondition

sourceModelVersionArn

importJobStartTime

importJobEndTime

activeModelVersion

activeModelVersionArn

modelVersionActivatedAt

previousActiveModelVersion

previousActiveModelVersionArn

previousModelVersionActivatedAt

priorModelMetrics

latestScheduledRetrainingFailedReason

latestScheduledRetrainingStatus

latestScheduledRetrainingStatusAsString

latestScheduledRetrainingModelVersion

latestScheduledRetrainingStartTime

latestScheduledRetrainingAvailableDataInDays

nextScheduledRetrainingStartDate

accumulatedInferenceDataStartTime

accumulatedInferenceDataEndTime

retrainingSchedulerStatus

retrainingSchedulerStatusAsString

modelDiagnosticsOutputConfiguration

modelQuality

modelQualityAsString

toBuilder

builder

serializableBuilderClass

hashCode

equals

equalsBySdkFields

toString

getValueForField

sdkFields