Serialized Form (AWS Java SDK for Amazon Lookout for Equipment 1.12.782 API)

Package com.amazonaws.services.lookoutequipment.model
- Class com.amazonaws.services.lookoutequipment.model.AccessDeniedException extends AmazonLookoutEquipmentException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.lookoutequipment.model.AmazonLookoutEquipmentException extends AmazonServiceException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.lookoutequipment.model.CategoricalValues extends Object implements Serializable
  - Serialized Fields
    - status
```
String status
```
      Indicates whether there is a potential data issue related to categorical values.
    - numberOfCategory
```
Integer numberOfCategory
```
      Indicates the number of categories in the data.
- Class com.amazonaws.services.lookoutequipment.model.ConflictException extends AmazonLookoutEquipmentException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.lookoutequipment.model.CountPercent extends Object implements Serializable
  - Serialized Fields
    - count
```
Integer count
```
      Indicates the count of occurences of the given statistic.
    - percentage
```
Float percentage
```
      Indicates the percentage of occurances of the given statistic.
- Class com.amazonaws.services.lookoutequipment.model.CreateDatasetRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetName
```
String datasetName
```
      The name of the dataset being created.
    - datasetSchema
```
DatasetSchema datasetSchema
```
      A JSON description of the data that is in each time series dataset, including names, column names, and data types.
    - serverSideKmsKeyId
```
String serverSideKmsKeyId
```
      Provides the identifier of the KMS key used to encrypt dataset data by Amazon Lookout for Equipment.
    - clientToken
```
String clientToken
```
      A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
    - tags
```
List<E> tags
```
      Any tags associated with the ingested data described in the dataset.
- Class com.amazonaws.services.lookoutequipment.model.CreateDatasetResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasetName
```
String datasetName
```
      The name of the dataset being created.
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset being created.
    - status
```
String status
```
      Indicates the status of the CreateDataset operation.
- Class com.amazonaws.services.lookoutequipment.model.CreateInferenceSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the previously trained machine learning model being used to create the inference scheduler.
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler being created.
    - dataDelayOffsetInMinutes
```
Long dataDelayOffsetInMinutes
```
      The interval (in minutes) of planned delay at the start of each inference segment. For example, if inference is set to run every ten minutes, the delay is set to five minutes and the time is 09:08. The inference scheduler will wake up at the configured interval (which, without a delay configured, would be 09:10) plus the additional five minute delay time (so 09:15) to check your Amazon S3 bucket. The delay provides a buffer for you to upload data at the same frequency, so that you don't have to stop and restart the scheduler when uploading new data.
      
      For more information, see Understanding the inference process.
    - dataUploadFrequency
```
String dataUploadFrequency
```
      How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment runs inference on your data.
      
      For more information, see Understanding the inference process.
    - dataInputConfiguration
```
InferenceInputConfiguration dataInputConfiguration
```
      Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
    - dataOutputConfiguration
```
InferenceOutputConfiguration dataOutputConfiguration
```
      Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.
    - roleArn
```
String roleArn
```
      The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.
    - serverSideKmsKeyId
```
String serverSideKmsKeyId
```
      Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.
    - clientToken
```
String clientToken
```
      A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
    - tags
```
List<E> tags
```
      Any tags associated with the inference scheduler.
- Class com.amazonaws.services.lookoutequipment.model.CreateInferenceSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - inferenceSchedulerArn
```
String inferenceSchedulerArn
```
      The Amazon Resource Name (ARN) of the inference scheduler being created.
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of inference scheduler being created.
    - status
```
String status
```
      Indicates the status of the CreateInferenceScheduler operation.
    - modelQuality
```
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.
- Class com.amazonaws.services.lookoutequipment.model.CreateLabelGroupRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      Names a group of labels.
      
      Data in this field will be retained for service usage. Follow best practices for the security of your data.
    - faultCodes
```
List<E> faultCodes
```
      The acceptable fault codes (indicating the type of anomaly associated with the label) that can be used with this label group.
      
      Data in this field will be retained for service usage. Follow best practices for the security of your data.
    - clientToken
```
String clientToken
```
      A unique identifier for the request to create a label group. If you do not set the client request token, Lookout for Equipment generates one.
    - tags
```
List<E> tags
```
      Tags that provide metadata about the label group you are creating.
      
      Data in this field will be retained for service usage. Follow best practices for the security of your data.
- Class com.amazonaws.services.lookoutequipment.model.CreateLabelGroupResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      The name of the label group that you have created. Data in this field will be retained for service usage. Follow best practices for the security of your data.
    - labelGroupArn
```
String labelGroupArn
```
      The Amazon Resource Name (ARN) of the label group that you have created.
- Class com.amazonaws.services.lookoutequipment.model.CreateLabelRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      The name of a group of labels.
      
      Data in this field will be retained for service usage. Follow best practices for the security of your data.
    - startTime
```
Date startTime
```
      The start time of the labeled event.
    - endTime
```
Date endTime
```
      The end time of the labeled event.
    - rating
```
String rating
```
      Indicates whether a labeled event represents an anomaly.
    - faultCode
```
String faultCode
```
      Provides additional information about the label. The fault code must be defined in the FaultCodes attribute of the label group.
      
      Data in this field will be retained for service usage. Follow best practices for the security of your data.
    - notes
```
String notes
```
      Metadata providing additional information about the label.
      
      Data in this field will be retained for service usage. Follow best practices for the security of your data.
    - equipment
```
String equipment
```
      Indicates that a label pertains to a particular piece of equipment.
      
      Data in this field will be retained for service usage. Follow best practices for the security of your data.
    - clientToken
```
String clientToken
```
      A unique identifier for the request to create a label. If you do not set the client request token, Lookout for Equipment generates one.
- Class com.amazonaws.services.lookoutequipment.model.CreateLabelResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - labelId
```
String labelId
```
      The ID of the label that you have created.
- Class com.amazonaws.services.lookoutequipment.model.CreateModelRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name for the machine learning model to be created.
    - datasetName
```
String datasetName
```
      The name of the dataset for the machine learning model being created.
    - datasetSchema
```
DatasetSchema datasetSchema
```
      The data schema for the machine learning model being created.
    - labelsInputConfiguration
```
LabelsInputConfiguration labelsInputConfiguration
```
      The input configuration for the labels being used for the machine learning model that's being created.
    - clientToken
```
String clientToken
```
      A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
    - trainingDataStartTime
```
Date trainingDataStartTime
```
      Indicates the time reference in the dataset that should be used to begin the subset of training data for the machine learning model.
    - trainingDataEndTime
```
Date trainingDataEndTime
```
      Indicates the time reference in the dataset that should be used to end the subset of training data for the machine learning model.
    - evaluationDataStartTime
```
Date evaluationDataStartTime
```
      Indicates the time reference in the dataset that should be used to begin the subset of evaluation data for the machine learning model.
    - evaluationDataEndTime
```
Date evaluationDataEndTime
```
      Indicates the time reference in the dataset that should be used to end the subset of evaluation data for the machine learning model.
    - roleArn
```
String roleArn
```
      The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the machine learning model.
    - dataPreProcessingConfiguration
```
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
    - serverSideKmsKeyId
```
String serverSideKmsKeyId
```
      Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.
    - tags
```
List<E> tags
```
      Any tags associated with the machine learning model being created.
    - offCondition
```
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.
    - modelDiagnosticsOutputConfiguration
```
ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration
```
      The Amazon S3 location where you want Amazon Lookout for Equipment to save the pointwise model diagnostics. You must also specify the RoleArn request parameter.
- Class com.amazonaws.services.lookoutequipment.model.CreateModelResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the model being created.
    - status
```
String status
```
      Indicates the status of the CreateModel operation.
- Class com.amazonaws.services.lookoutequipment.model.CreateRetrainingSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model to add the retraining scheduler to.
    - retrainingStartDate
```
Date retrainingStartDate
```
      The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.
    - retrainingFrequency
```
String retrainingFrequency
```
      This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:
      
      P3M15D – Every 3 months and 15 days
      
      P2M – Every 2 months
      
      P150D – Every 150 days
    - lookbackWindow
```
String lookbackWindow
```
      The number of past days of data that will be used for retraining.
    - promoteMode
```
String promoteMode
```
      Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.
    - clientToken
```
String clientToken
```
      A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
- Class com.amazonaws.services.lookoutequipment.model.CreateRetrainingSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model that you added the retraining scheduler to.
    - modelArn
```
String modelArn
```
      The ARN of the model that you added the retraining scheduler to.
    - status
```
String status
```
      The status of the retraining scheduler.
- Class com.amazonaws.services.lookoutequipment.model.DataIngestionJobSummary extends Object implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      Indicates the job ID of the data ingestion job.
    - datasetName
```
String datasetName
```
      The name of the dataset used for the data ingestion job.
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset used in the data ingestion job.
    - ingestionInputConfiguration
```
IngestionInputConfiguration ingestionInputConfiguration
```
      Specifies information for the input data for the data inference job, including data Amazon S3 location parameters.
    - status
```
String status
```
      Indicates the status of the data ingestion job.
- Class com.amazonaws.services.lookoutequipment.model.DataPreProcessingConfiguration extends Object implements Serializable
  - Serialized Fields
    - targetSamplingRate
```
String targetSamplingRate
```
      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
- Class com.amazonaws.services.lookoutequipment.model.DataQualitySummary extends Object implements Serializable
  - Serialized Fields
    - insufficientSensorData
```
InsufficientSensorData insufficientSensorData
```
      Parameter that gives information about insufficient data for sensors in the dataset. This includes information about those sensors that have complete data missing and those with a short date range.
    - missingSensorData
```
MissingSensorData missingSensorData
```
      Parameter that gives information about data that is missing over all the sensors in the input data.
    - invalidSensorData
```
InvalidSensorData invalidSensorData
```
      Parameter that gives information about data that is invalid over all the sensors in the input data.
    - unsupportedTimestamps
```
UnsupportedTimestamps unsupportedTimestamps
```
      Parameter that gives information about unsupported timestamps in the input data.
    - duplicateTimestamps
```
DuplicateTimestamps duplicateTimestamps
```
      Parameter that gives information about duplicate timestamps in the input data.
- Class com.amazonaws.services.lookoutequipment.model.DatasetSchema extends Object implements Serializable
  - Serialized Fields
    - inlineDataSchema
```
String inlineDataSchema
```
      The data schema used within the given dataset.
- Class com.amazonaws.services.lookoutequipment.model.DatasetSummary extends Object implements Serializable
  - Serialized Fields
    - datasetName
```
String datasetName
```
      The name of the dataset.
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the specified dataset.
    - status
```
String status
```
      Indicates the status of the dataset.
    - createdAt
```
Date createdAt
```
      The time at which the dataset was created in Amazon Lookout for Equipment.
- Class com.amazonaws.services.lookoutequipment.model.DeleteDatasetRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetName
```
String datasetName
```
      The name of the dataset to be deleted.
- Class com.amazonaws.services.lookoutequipment.model.DeleteDatasetResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.DeleteInferenceSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler to be deleted.
- Class com.amazonaws.services.lookoutequipment.model.DeleteInferenceSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.DeleteLabelGroupRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      The name of the label group that you want to delete. Data in this field will be retained for service usage. Follow best practices for the security of your data.
- Class com.amazonaws.services.lookoutequipment.model.DeleteLabelGroupResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.DeleteLabelRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      The name of the label group that contains the label that you want to delete. Data in this field will be retained for service usage. Follow best practices for the security of your data.
    - labelId
```
String labelId
```
      The ID of the label that you want to delete.
- Class com.amazonaws.services.lookoutequipment.model.DeleteLabelResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.DeleteModelRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the machine learning model to be deleted.
- Class com.amazonaws.services.lookoutequipment.model.DeleteModelResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.DeleteResourcePolicyRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - resourceArn
```
String resourceArn
```
      The Amazon Resource Name (ARN) of the resource for which the resource policy should be deleted.
- Class com.amazonaws.services.lookoutequipment.model.DeleteResourcePolicyResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.DeleteRetrainingSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model whose retraining scheduler you want to delete.
- Class com.amazonaws.services.lookoutequipment.model.DeleteRetrainingSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.DescribeDataIngestionJobRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      The job ID of the data ingestion job.
- Class com.amazonaws.services.lookoutequipment.model.DescribeDataIngestionJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      Indicates the job ID of the data ingestion job.
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset being used in the data ingestion job.
    - ingestionInputConfiguration
```
IngestionInputConfiguration ingestionInputConfiguration
```
      Specifies the S3 location configuration for the data input for the data ingestion job.
    - roleArn
```
String roleArn
```
      The Amazon Resource Name (ARN) of an IAM role with permission to access the data source being ingested.
    - createdAt
```
Date createdAt
```
      The time at which the data ingestion job was created.
    - status
```
String status
```
      Indicates the status of the DataIngestionJob operation.
    - failedReason
```
String failedReason
```
      Specifies the reason for failure when a data ingestion job has failed.
    - dataQualitySummary
```
DataQualitySummary dataQualitySummary
```
      Gives statistics about a completed ingestion job. These statistics primarily relate to quantifying incorrect data such as MissingCompleteSensorData, MissingSensorData, UnsupportedDateFormats, InsufficientSensorData, and DuplicateTimeStamps.
    - ingestedFilesSummary
```
IngestedFilesSummary ingestedFilesSummary
```
    - statusDetail
```
String statusDetail
```
      Provides details about status of the ingestion job that is currently in progress.
    - ingestedDataSize
```
Long ingestedDataSize
```
      Indicates the size of the ingested dataset.
    - dataStartTime
```
Date dataStartTime
```
      Indicates the earliest timestamp corresponding to data that was successfully ingested during this specific ingestion job.
    - dataEndTime
```
Date dataEndTime
```
      Indicates the latest timestamp corresponding to data that was successfully ingested during this specific ingestion job.
    - sourceDatasetArn
```
String sourceDatasetArn
```
      The Amazon Resource Name (ARN) of the source dataset from which the data used for the data ingestion job was imported from.
- Class com.amazonaws.services.lookoutequipment.model.DescribeDatasetRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetName
```
String datasetName
```
      The name of the dataset to be described.
- Class com.amazonaws.services.lookoutequipment.model.DescribeDatasetResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasetName
```
String datasetName
```
      The name of the dataset being described.
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset being described.
    - createdAt
```
Date createdAt
```
      Specifies the time the dataset was created in Lookout for Equipment.
    - lastUpdatedAt
```
Date lastUpdatedAt
```
      Specifies the time the dataset was last updated, if it was.
    - status
```
String status
```
      Indicates the status of the dataset.
    - schema
```
String schema
```
      A JSON description of the data that is in each time series dataset, including names, column names, and data types.
    - serverSideKmsKeyId
```
String serverSideKmsKeyId
```
      Provides the identifier of the KMS key used to encrypt dataset data by Amazon Lookout for Equipment.
    - ingestionInputConfiguration
```
IngestionInputConfiguration ingestionInputConfiguration
```
      Specifies the S3 location configuration for the data input for the data ingestion job.
    - dataQualitySummary
```
DataQualitySummary dataQualitySummary
```
      Gives statistics associated with the given dataset for the latest successful associated ingestion job id. These statistics primarily relate to quantifying incorrect data such as MissingCompleteSensorData, MissingSensorData, UnsupportedDateFormats, InsufficientSensorData, and DuplicateTimeStamps.
    - ingestedFilesSummary
```
IngestedFilesSummary ingestedFilesSummary
```
      IngestedFilesSummary associated with the given dataset for the latest successful associated ingestion job id.
    - roleArn
```
String roleArn
```
      The Amazon Resource Name (ARN) of the IAM role that you are using for this the data ingestion job.
    - dataStartTime
```
Date dataStartTime
```
      Indicates the earliest timestamp corresponding to data that was successfully ingested during the most recent ingestion of this particular dataset.
    - dataEndTime
```
Date dataEndTime
```
      Indicates the latest timestamp corresponding to data that was successfully ingested during the most recent ingestion of this particular dataset.
    - sourceDatasetArn
```
String sourceDatasetArn
```
      The Amazon Resource Name (ARN) of the source dataset from which the current data being described was imported from.
- Class com.amazonaws.services.lookoutequipment.model.DescribeInferenceSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler being described.
- Class com.amazonaws.services.lookoutequipment.model.DescribeInferenceSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.
    - modelName
```
String modelName
```
      The name of the machine learning model of the inference scheduler being described.
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler being described.
    - inferenceSchedulerArn
```
String inferenceSchedulerArn
```
      The Amazon Resource Name (ARN) of the inference scheduler being described.
    - status
```
String status
```
      Indicates the status of the inference scheduler.
    - dataDelayOffsetInMinutes
```
Long dataDelayOffsetInMinutes
```
      A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.
    - dataUploadFrequency
```
String dataUploadFrequency
```
      Specifies how often data is uploaded to the source S3 bucket for the input data. This value is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.
    - createdAt
```
Date createdAt
```
      Specifies the time at which the inference scheduler was created.
    - updatedAt
```
Date updatedAt
```
      Specifies the time at which the inference scheduler was last updated, if it was.
    - dataInputConfiguration
```
InferenceInputConfiguration dataInputConfiguration
```
      Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
    - dataOutputConfiguration
```
InferenceOutputConfiguration dataOutputConfiguration
```
      Specifies information for the output results for the inference scheduler, including the output S3 location.
    - roleArn
```
String roleArn
```
      The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.
    - serverSideKmsKeyId
```
String serverSideKmsKeyId
```
      Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.
    - latestInferenceResult
```
String latestInferenceResult
```
      Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
- Class com.amazonaws.services.lookoutequipment.model.DescribeLabelGroupRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      Returns the name of the label group.
- Class com.amazonaws.services.lookoutequipment.model.DescribeLabelGroupResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      The name of the label group.
    - labelGroupArn
```
String labelGroupArn
```
      The Amazon Resource Name (ARN) of the label group.
    - faultCodes
```
List<E> faultCodes
```
      Codes indicating the type of anomaly associated with the labels in the lagbel group.
    - createdAt
```
Date createdAt
```
      The time at which the label group was created.
    - updatedAt
```
Date updatedAt
```
      The time at which the label group was updated.
- Class com.amazonaws.services.lookoutequipment.model.DescribeLabelRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      Returns the name of the group containing the label.
    - labelId
```
String labelId
```
      Returns the ID of the label.
- Class com.amazonaws.services.lookoutequipment.model.DescribeLabelResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      The name of the requested label group.
    - labelGroupArn
```
String labelGroupArn
```
      The Amazon Resource Name (ARN) of the requested label group.
    - labelId
```
String labelId
```
      The ID of the requested label.
    - startTime
```
Date startTime
```
      The start time of the requested label.
    - endTime
```
Date endTime
```
      The end time of the requested label.
    - rating
```
String rating
```
      Indicates whether a labeled event represents an anomaly.
    - faultCode
```
String faultCode
```
      Indicates the type of anomaly associated with the label.
      
      Data in this field will be retained for service usage. Follow best practices for the security of your data.
    - notes
```
String notes
```
      Metadata providing additional information about the label.
      
      Data in this field will be retained for service usage. Follow best practices for the security of your data.
    - equipment
```
String equipment
```
      Indicates that a label pertains to a particular piece of equipment.
    - createdAt
```
Date createdAt
```
      The time at which the label was created.
- Class com.amazonaws.services.lookoutequipment.model.DescribeModelRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the machine learning model to be described.
- Class com.amazonaws.services.lookoutequipment.model.DescribeModelResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the machine learning model being described.
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the machine learning model being described.
    - datasetName
```
String datasetName
```
      The name of the dataset being used by the machine learning being described.
    - datasetArn
```
String datasetArn
```
      The Amazon Resouce Name (ARN) of the dataset used to create the machine learning model being described.
    - schema
```
String schema
```
      A JSON description of the data that is in each time series dataset, including names, column names, and data types.
    - labelsInputConfiguration
```
LabelsInputConfiguration labelsInputConfiguration
```
      Specifies configuration information about the labels input, including its S3 location.
    - trainingDataStartTime
```
Date trainingDataStartTime
```
      Indicates the time reference in the dataset that was used to begin the subset of training data for the machine learning model.
    - trainingDataEndTime
```
Date trainingDataEndTime
```
      Indicates the time reference in the dataset that was used to end the subset of training data for the machine learning model.
    - evaluationDataStartTime
```
Date evaluationDataStartTime
```
      Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the machine learning model.
    - evaluationDataEndTime
```
Date evaluationDataEndTime
```
      Indicates the time reference in the dataset that was used to end the subset of evaluation data for the machine learning model.
    - roleArn
```
String roleArn
```
      The Amazon Resource Name (ARN) of a role with permission to access the data source for the machine learning model being described.
    - dataPreProcessingConfiguration
```
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
    - status
```
String status
```
      Specifies the current status of the model being described. Status describes the status of the most recent action of the model.
    - trainingExecutionStartTime
```
Date trainingExecutionStartTime
```
      Indicates the time at which the training of the machine learning model began.
    - trainingExecutionEndTime
```
Date trainingExecutionEndTime
```
      Indicates the time at which the training of the machine learning model was completed.
    - failedReason
```
String failedReason
```
      If the training of the machine learning model failed, this indicates the reason for that failure.
    - modelMetrics
```
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.
    - lastUpdatedTime
```
Date lastUpdatedTime
```
      Indicates the last time the machine learning model was updated. The type of update is not specified.
    - createdAt
```
Date createdAt
```
      Indicates the time and date at which the machine learning model was created.
    - serverSideKmsKeyId
```
String serverSideKmsKeyId
```
      Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.
    - offCondition
```
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.
    - sourceModelVersionArn
```
String sourceModelVersionArn
```
      The Amazon Resource Name (ARN) of the source model version. This field appears if the active model version was imported.
    - importJobStartTime
```
Date importJobStartTime
```
      The date and time when the import job was started. This field appears if the active model version was imported.
    - importJobEndTime
```
Date importJobEndTime
```
      The date and time when the import job was completed. This field appears if the active model version was imported.
    - activeModelVersion
```
Long activeModelVersion
```
      The name of the model version used by the inference schedular when running a scheduled inference execution.
    - activeModelVersionArn
```
String activeModelVersionArn
```
      The Amazon Resource Name (ARN) of the model version used by the inference scheduler when running a scheduled inference execution.
    - modelVersionActivatedAt
```
Date modelVersionActivatedAt
```
      The date the active model version was activated.
    - previousActiveModelVersion
```
Long previousActiveModelVersion
```
      The model version that was set as the active model version prior to the current active model version.
    - previousActiveModelVersionArn
```
String previousActiveModelVersionArn
```
      The ARN of the model version that was set as the active model version prior to the current active model version.
    - previousModelVersionActivatedAt
```
Date previousModelVersionActivatedAt
```
      The date and time when the previous active model version was activated.
    - priorModelMetrics
```
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.
    - latestScheduledRetrainingFailedReason
```
String latestScheduledRetrainingFailedReason
```
      If the model version was generated by retraining and the training failed, this indicates the reason for that failure.
    - latestScheduledRetrainingStatus
```
String latestScheduledRetrainingStatus
```
      Indicates the status of the most recent scheduled retraining run.
    - latestScheduledRetrainingModelVersion
```
Long latestScheduledRetrainingModelVersion
```
      Indicates the most recent model version that was generated by retraining.
    - latestScheduledRetrainingStartTime
```
Date latestScheduledRetrainingStartTime
```
      Indicates the start time of the most recent scheduled retraining run.
    - latestScheduledRetrainingAvailableDataInDays
```
Integer latestScheduledRetrainingAvailableDataInDays
```
      Indicates the number of days of data used in the most recent scheduled retraining run.
    - nextScheduledRetrainingStartDate
```
Date 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.
    - accumulatedInferenceDataStartTime
```
Date accumulatedInferenceDataStartTime
```
      Indicates the start time of the inference data that has been accumulated.
    - accumulatedInferenceDataEndTime
```
Date accumulatedInferenceDataEndTime
```
      Indicates the end time of the inference data that has been accumulated.
    - retrainingSchedulerStatus
```
String retrainingSchedulerStatus
```
      Indicates the status of the retraining scheduler.
    - modelDiagnosticsOutputConfiguration
```
ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration
```
      Configuration information for the model's pointwise model diagnostics.
    - modelQuality
```
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.
- Class com.amazonaws.services.lookoutequipment.model.DescribeModelVersionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the machine learning model that this version belongs to.
    - modelVersion
```
Long modelVersion
```
      The version of the machine learning model.
- Class com.amazonaws.services.lookoutequipment.model.DescribeModelVersionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the machine learning model that this version belongs to.
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
    - modelVersion
```
Long modelVersion
```
      The version of the machine learning model.
    - modelVersionArn
```
String modelVersionArn
```
      The Amazon Resource Name (ARN) of the model version.
    - status
```
String status
```
      The current status of the model version.
    - sourceType
```
String sourceType
```
      Indicates whether this model version was created by training or by importing.
    - datasetName
```
String datasetName
```
      The name of the dataset used to train the model version.
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset used to train the model version.
    - schema
```
String schema
```
      The schema of the data used to train the model version.
    - labelsInputConfiguration
```
LabelsInputConfiguration labelsInputConfiguration
```
    - trainingDataStartTime
```
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.
    - trainingDataEndTime
```
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.
    - evaluationDataStartTime
```
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.
    - evaluationDataEndTime
```
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.
    - roleArn
```
String roleArn
```
      The Amazon Resource Name (ARN) of the role that was used to train the model version.
    - dataPreProcessingConfiguration
```
DataPreProcessingConfiguration dataPreProcessingConfiguration
```
    - trainingExecutionStartTime
```
Date trainingExecutionStartTime
```
      The time when the training of the version began.
    - trainingExecutionEndTime
```
Date trainingExecutionEndTime
```
      The time when the training of the version completed.
    - failedReason
```
String failedReason
```
      The failure message if the training of the model version failed.
    - modelMetrics
```
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.
    - lastUpdatedTime
```
Date lastUpdatedTime
```
      Indicates the last time the machine learning model version was updated.
    - createdAt
```
Date createdAt
```
      Indicates the time and date at which the machine learning model version was created.
    - serverSideKmsKeyId
```
String serverSideKmsKeyId
```
      The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
    - offCondition
```
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.
    - sourceModelVersionArn
```
String sourceModelVersionArn
```
      If model version was imported, then this field is the arn of the source model version.
    - importJobStartTime
```
Date importJobStartTime
```
      The date and time when the import job began. This field appears if the model version was imported.
    - importJobEndTime
```
Date importJobEndTime
```
      The date and time when the import job completed. This field appears if the model version was imported.
    - importedDataSizeInBytes
```
Long importedDataSizeInBytes
```
      The size in bytes of the imported data. This field appears if the model version was imported.
    - priorModelMetrics
```
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.
    - retrainingAvailableDataInDays
```
Integer retrainingAvailableDataInDays
```
      Indicates the number of days of data used in the most recent scheduled retraining run.
    - autoPromotionResult
```
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.
    - autoPromotionResultReason
```
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.
    - modelDiagnosticsOutputConfiguration
```
ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration
```
      The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
    - modelDiagnosticsResultsObject
```
S3Object modelDiagnosticsResultsObject
```
      The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
    - modelQuality
```
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.
- Class com.amazonaws.services.lookoutequipment.model.DescribeResourcePolicyRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - resourceArn
```
String resourceArn
```
      The Amazon Resource Name (ARN) of the resource that is associated with the resource policy.
- Class com.amazonaws.services.lookoutequipment.model.DescribeResourcePolicyResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - policyRevisionId
```
String policyRevisionId
```
      A unique identifier for a revision of the resource policy.
    - resourcePolicy
```
String resourcePolicy
```
      The resource policy in a JSON-formatted string.
    - creationTime
```
Date creationTime
```
      The time when the resource policy was created.
    - lastModifiedTime
```
Date lastModifiedTime
```
      The time when the resource policy was last modified.
- Class com.amazonaws.services.lookoutequipment.model.DescribeRetrainingSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model that the retraining scheduler is attached to.
- Class com.amazonaws.services.lookoutequipment.model.DescribeRetrainingSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model that the retraining scheduler is attached to.
    - modelArn
```
String modelArn
```
      The ARN of the model that the retraining scheduler is attached to.
    - retrainingStartDate
```
Date retrainingStartDate
```
      The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.
    - retrainingFrequency
```
String retrainingFrequency
```
      The frequency at which the model retraining is set. This follows the ISO 8601 guidelines.
    - lookbackWindow
```
String lookbackWindow
```
      The number of past days of data used for retraining.
    - status
```
String status
```
      The status of the retraining scheduler.
    - promoteMode
```
String promoteMode
```
      Indicates how the service uses new models. In MANAGED mode, new models are used for inference if they have better performance than the current model. In MANUAL mode, the new models are not used until they are manually activated.
    - createdAt
```
Date createdAt
```
      Indicates the time and date at which the retraining scheduler was created.
    - updatedAt
```
Date updatedAt
```
      Indicates the time and date at which the retraining scheduler was updated.
- Class com.amazonaws.services.lookoutequipment.model.DuplicateTimestamps extends Object implements Serializable
  - Serialized Fields
    - totalNumberOfDuplicateTimestamps
```
Integer totalNumberOfDuplicateTimestamps
```
      Indicates the total number of duplicate timestamps.
- Class com.amazonaws.services.lookoutequipment.model.ImportDatasetRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - sourceDatasetArn
```
String sourceDatasetArn
```
      The Amazon Resource Name (ARN) of the dataset to import.
    - datasetName
```
String datasetName
```
      The name of the machine learning dataset to be created. If the dataset already exists, Amazon Lookout for Equipment overwrites the existing dataset. If you don't specify this field, it is filled with the name of the source dataset.
    - clientToken
```
String clientToken
```
      A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
    - serverSideKmsKeyId
```
String serverSideKmsKeyId
```
      Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
    - tags
```
List<E> tags
```
      Any tags associated with the dataset to be created.
- Class com.amazonaws.services.lookoutequipment.model.ImportDatasetResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - datasetName
```
String datasetName
```
      The name of the created machine learning dataset.
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset that was imported.
    - status
```
String status
```
      The status of the ImportDataset operation.
    - jobId
```
String jobId
```
      A unique identifier for the job of importing the dataset.
- Class com.amazonaws.services.lookoutequipment.model.ImportModelVersionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - sourceModelVersionArn
```
String sourceModelVersionArn
```
      The Amazon Resource Name (ARN) of the model version to import.
    - modelName
```
String modelName
```
      The name for the machine learning model to be created. If the model already exists, Amazon Lookout for Equipment creates a new version. If you do not specify this field, it is filled with the name of the source model.
    - datasetName
```
String datasetName
```
      The name of the dataset for the machine learning model being imported.
    - labelsInputConfiguration
```
LabelsInputConfiguration labelsInputConfiguration
```
    - clientToken
```
String clientToken
```
      A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
    - roleArn
```
String roleArn
```
      The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the machine learning model.
    - serverSideKmsKeyId
```
String serverSideKmsKeyId
```
      Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
    - tags
```
List<E> tags
```
      The tags associated with the machine learning model to be created.
    - inferenceDataImportStrategy
```
String inferenceDataImportStrategy
```
      Indicates how to import the accumulated inference data when a model version is imported. The possible values are as follows:
      
      NO_IMPORT – Don't import the data.
      
      ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target model.
      
      OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.
- Class com.amazonaws.services.lookoutequipment.model.ImportModelVersionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name for the machine learning model.
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the model being created.
    - modelVersionArn
```
String modelVersionArn
```
      The Amazon Resource Name (ARN) of the model version being created.
    - modelVersion
```
Long modelVersion
```
      The version of the model being created.
    - status
```
String status
```
      The status of the ImportModelVersion operation.
- Class com.amazonaws.services.lookoutequipment.model.InferenceEventSummary extends Object implements Serializable
  - Serialized Fields
    - inferenceSchedulerArn
```
String inferenceSchedulerArn
```
      The Amazon Resource Name (ARN) of the inference scheduler being used for the inference event.
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler being used for the inference events.
    - eventStartTime
```
Date eventStartTime
```
      Indicates the starting time of an inference event.
    - eventEndTime
```
Date eventEndTime
```
      Indicates the ending time of an inference event.
    - diagnostics
```
String diagnostics
```
      An array which specifies the names and values of all sensors contributing to an inference event.
    - eventDurationInSeconds
```
Long eventDurationInSeconds
```
      Indicates the size of an inference event in seconds.
- Class com.amazonaws.services.lookoutequipment.model.InferenceExecutionSummary extends Object implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the machine learning model being used for the inference execution.
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler being used for the inference execution.
    - inferenceSchedulerArn
```
String inferenceSchedulerArn
```
      The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
    - scheduledStartTime
```
Date scheduledStartTime
```
      Indicates the start time at which the inference scheduler began the specific inference execution.
    - dataStartTime
```
Date dataStartTime
```
      Indicates the time reference in the dataset at which the inference execution began.
    - dataEndTime
```
Date dataEndTime
```
      Indicates the time reference in the dataset at which the inference execution stopped.
    - dataInputConfiguration
```
InferenceInputConfiguration dataInputConfiguration
```
      Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
    - dataOutputConfiguration
```
InferenceOutputConfiguration dataOutputConfiguration
```
      Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
    - customerResultObject
```
S3Object customerResultObject
```
      The S3 object that the inference execution results were uploaded to.
    - status
```
String status
```
      Indicates the status of the inference execution.
    - failedReason
```
String failedReason
```
      Specifies the reason for failure when an inference execution has failed.
    - modelVersion
```
Long modelVersion
```
      The model version used for the inference execution.
    - modelVersionArn
```
String modelVersionArn
```
      The Amazon Resource Number (ARN) of the model version used for the inference execution.
- Class com.amazonaws.services.lookoutequipment.model.InferenceInputConfiguration extends Object implements Serializable
  - Serialized Fields
    - s3InputConfiguration
```
InferenceS3InputConfiguration s3InputConfiguration
```
      Specifies configuration information for the input data for the inference, including Amazon S3 location of input data.
    - inputTimeZoneOffset
```
String inputTimeZoneOffset
```
      Indicates the difference between your time zone and Coordinated Universal Time (UTC).
    - inferenceInputNameConfiguration
```
InferenceInputNameConfiguration inferenceInputNameConfiguration
```
      Specifies configuration information for the input data for the inference, including timestamp format and delimiter.
- Class com.amazonaws.services.lookoutequipment.model.InferenceInputNameConfiguration extends Object implements Serializable
  - Serialized Fields
    - timestampFormat
```
String timestampFormat
```
      The format of the timestamp, whether Epoch time, or standard, with or without hyphens (-).
    - componentTimestampDelimiter
```
String componentTimestampDelimiter
```
      Indicates the delimiter character used between items in the data.
- Class com.amazonaws.services.lookoutequipment.model.InferenceOutputConfiguration extends Object implements Serializable
  - Serialized Fields
    - s3OutputConfiguration
```
InferenceS3OutputConfiguration s3OutputConfiguration
```
      Specifies configuration information for the output results from for the inference, output S3 location.
    - kmsKeyId
```
String kmsKeyId
```
      The ID number for the KMS key key used to encrypt the inference output.
- Class com.amazonaws.services.lookoutequipment.model.InferenceS3InputConfiguration extends Object implements Serializable
  - Serialized Fields
    - bucket
```
String bucket
```
      The bucket containing the input dataset for the inference.
    - prefix
```
String prefix
```
      The prefix for the S3 bucket used for the input data for the inference.
- Class com.amazonaws.services.lookoutequipment.model.InferenceS3OutputConfiguration extends Object implements Serializable
  - Serialized Fields
    - bucket
```
String bucket
```
      The bucket containing the output results from the inference
    - prefix
```
String prefix
```
      The prefix for the S3 bucket used for the output results from the inference.
- Class com.amazonaws.services.lookoutequipment.model.InferenceSchedulerSummary extends Object implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the machine learning model used for the inference scheduler.
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler.
    - inferenceSchedulerArn
```
String inferenceSchedulerArn
```
      The Amazon Resource Name (ARN) of the inference scheduler.
    - status
```
String status
```
      Indicates the status of the inference scheduler.
    - dataDelayOffsetInMinutes
```
Long dataDelayOffsetInMinutes
```
      A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if an offset delay time of five minutes was selected, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.
    - dataUploadFrequency
```
String dataUploadFrequency
```
      How often data is uploaded to the source S3 bucket for the input data. This value is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.
    - latestInferenceResult
```
String latestInferenceResult
```
      Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
- Class com.amazonaws.services.lookoutequipment.model.IngestedFilesSummary extends Object implements Serializable
  - Serialized Fields
    - totalNumberOfFiles
```
Integer totalNumberOfFiles
```
      Indicates the total number of files that were submitted for ingestion.
    - ingestedNumberOfFiles
```
Integer ingestedNumberOfFiles
```
      Indicates the number of files that were successfully ingested.
    - discardedFiles
```
List<E> discardedFiles
```
      Indicates the number of files that were discarded. A file could be discarded because its format is invalid (for example, a jpg or pdf) or not readable.
- Class com.amazonaws.services.lookoutequipment.model.IngestionInputConfiguration extends Object implements Serializable
  - Serialized Fields
    - s3InputConfiguration
```
IngestionS3InputConfiguration s3InputConfiguration
```
      The location information for the S3 bucket used for input data for the data ingestion.
- Class com.amazonaws.services.lookoutequipment.model.IngestionS3InputConfiguration extends Object implements Serializable
  - Serialized Fields
    - bucket
```
String bucket
```
      The name of the S3 bucket used for the input data for the data ingestion.
    - prefix
```
String prefix
```
      The prefix for the S3 location being used for the input data for the data ingestion.
    - keyPattern
```
String keyPattern
```
      The pattern for matching the Amazon S3 files that will be used for ingestion. If the schema was created previously without any KeyPattern, then the default KeyPattern {prefix}/{component_name}/* is used to download files from Amazon S3 according to the schema. This field is required when ingestion is being done for the first time.
      
      Valid Values: {prefix}/{component_name}_* | {prefix}/{component_name}/* | {prefix}/{component_name}[DELIMITER]* (Allowed delimiters : space, dot, underscore, hyphen)
- Class com.amazonaws.services.lookoutequipment.model.InsufficientSensorData extends Object implements Serializable
  - Serialized Fields
    - missingCompleteSensorData
```
MissingCompleteSensorData missingCompleteSensorData
```
      Parameter that describes the total number of sensors that have data completely missing for it.
    - sensorsWithShortDateRange
```
SensorsWithShortDateRange sensorsWithShortDateRange
```
      Parameter that describes the total number of sensors that have a short date range of less than 14 days of data overall.
- Class com.amazonaws.services.lookoutequipment.model.InternalServerException extends AmazonLookoutEquipmentException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.lookoutequipment.model.InvalidSensorData extends Object implements Serializable
  - Serialized Fields
    - affectedSensorCount
```
Integer affectedSensorCount
```
      Indicates the number of sensors that have at least some invalid values.
    - totalNumberOfInvalidValues
```
Integer totalNumberOfInvalidValues
```
      Indicates the total number of invalid values across all the sensors.
- Class com.amazonaws.services.lookoutequipment.model.LabelGroupSummary extends Object implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      The name of the label group.
    - labelGroupArn
```
String labelGroupArn
```
      The Amazon Resource Name (ARN) of the label group.
    - createdAt
```
Date createdAt
```
      The time at which the label group was created.
    - updatedAt
```
Date updatedAt
```
      The time at which the label group was updated.
- Class com.amazonaws.services.lookoutequipment.model.LabelsInputConfiguration extends Object implements Serializable
  - Serialized Fields
    - s3InputConfiguration
```
LabelsS3InputConfiguration s3InputConfiguration
```
      Contains location information for the S3 location being used for label data.
    - labelGroupName
```
String labelGroupName
```
      The name of the label group to be used for label data.
- Class com.amazonaws.services.lookoutequipment.model.LabelsS3InputConfiguration extends Object implements Serializable
  - Serialized Fields
    - bucket
```
String bucket
```
      The name of the S3 bucket holding the label data.
    - prefix
```
String prefix
```
      The prefix for the S3 bucket used for the label data.
- Class com.amazonaws.services.lookoutequipment.model.LabelSummary extends Object implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      The name of the label group.
    - labelId
```
String labelId
```
      The ID of the label.
    - labelGroupArn
```
String labelGroupArn
```
      The Amazon Resource Name (ARN) of the label group.
    - startTime
```
Date startTime
```
      The timestamp indicating the start of the label.
    - endTime
```
Date endTime
```
      The timestamp indicating the end of the label.
    - rating
```
String rating
```
      Indicates whether a labeled event represents an anomaly.
    - faultCode
```
String faultCode
```
      Indicates the type of anomaly associated with the label.
      
      Data in this field will be retained for service usage. Follow best practices for the security of your data.
    - equipment
```
String equipment
```
      Indicates that a label pertains to a particular piece of equipment.
    - createdAt
```
Date createdAt
```
      The time at which the label was created.
- Class com.amazonaws.services.lookoutequipment.model.LargeTimestampGaps extends Object implements Serializable
  - Serialized Fields
    - status
```
String status
```
      Indicates whether there is a potential data issue related to large gaps in timestamps.
    - numberOfLargeTimestampGaps
```
Integer numberOfLargeTimestampGaps
```
      Indicates the number of large timestamp gaps, if there are any.
    - maxTimestampGapInDays
```
Integer maxTimestampGapInDays
```
      Indicates the size of the largest timestamp gap, in days.
- Class com.amazonaws.services.lookoutequipment.model.ListDataIngestionJobsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetName
```
String datasetName
```
      The name of the dataset being used for the data ingestion job.
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of data ingestion jobs.
    - maxResults
```
Integer maxResults
```
      Specifies the maximum number of data ingestion jobs to list.
    - status
```
String status
```
      Indicates the status of the data ingestion job.
- Class com.amazonaws.services.lookoutequipment.model.ListDataIngestionJobsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of data ingestion jobs.
    - dataIngestionJobSummaries
```
List<E> dataIngestionJobSummaries
```
      Specifies information about the specific data ingestion job, including dataset name and status.
- Class com.amazonaws.services.lookoutequipment.model.ListDatasetsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of datasets.
    - maxResults
```
Integer maxResults
```
      Specifies the maximum number of datasets to list.
    - datasetNameBeginsWith
```
String datasetNameBeginsWith
```
      The beginning of the name of the datasets to be listed.
- Class com.amazonaws.services.lookoutequipment.model.ListDatasetsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of datasets.
    - datasetSummaries
```
List<E> datasetSummaries
```
      Provides information about the specified dataset, including creation time, dataset ARN, and status.
- Class com.amazonaws.services.lookoutequipment.model.ListInferenceEventsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of inference events.
    - maxResults
```
Integer maxResults
```
      Specifies the maximum number of inference events to list.
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler for the inference events listed.
    - intervalStartTime
```
Date intervalStartTime
```
      Lookout for Equipment will return all the inference events with an end time equal to or greater than the start time given.
    - intervalEndTime
```
Date intervalEndTime
```
      Returns all the inference events with an end start time equal to or greater than less than the end time given.
- Class com.amazonaws.services.lookoutequipment.model.ListInferenceEventsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of inference executions.
    - inferenceEventSummaries
```
List<E> inferenceEventSummaries
```
      Provides an array of information about the individual inference events returned from the ListInferenceEvents operation, including scheduler used, event start time, event end time, diagnostics, and so on.
- Class com.amazonaws.services.lookoutequipment.model.ListInferenceExecutionsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of inference executions.
    - maxResults
```
Integer maxResults
```
      Specifies the maximum number of inference executions to list.
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler for the inference execution listed.
    - dataStartTimeAfter
```
Date dataStartTimeAfter
```
      The time reference in the inferenced dataset after which Amazon Lookout for Equipment started the inference execution.
    - dataEndTimeBefore
```
Date dataEndTimeBefore
```
      The time reference in the inferenced dataset before which Amazon Lookout for Equipment stopped the inference execution.
    - status
```
String status
```
      The status of the inference execution.
- Class com.amazonaws.services.lookoutequipment.model.ListInferenceExecutionsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of inference executions.
    - inferenceExecutionSummaries
```
List<E> inferenceExecutionSummaries
```
      Provides an array of information about the individual inference executions returned from the ListInferenceExecutions operation, including model used, inference scheduler, data configuration, and so on.
      
      If you don't supply the InferenceSchedulerName request parameter, or if you supply the name of an inference scheduler that doesn't exist, ListInferenceExecutions returns an empty array in InferenceExecutionSummaries.
- Class com.amazonaws.services.lookoutequipment.model.ListInferenceSchedulersRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of inference schedulers.
    - maxResults
```
Integer maxResults
```
      Specifies the maximum number of inference schedulers to list.
    - inferenceSchedulerNameBeginsWith
```
String inferenceSchedulerNameBeginsWith
```
      The beginning of the name of the inference schedulers to be listed.
    - modelName
```
String modelName
```
      The name of the machine learning model used by the inference scheduler to be listed.
    - status
```
String status
```
      Specifies the current status of the inference schedulers.
- Class com.amazonaws.services.lookoutequipment.model.ListInferenceSchedulersResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of inference schedulers.
    - inferenceSchedulerSummaries
```
List<E> inferenceSchedulerSummaries
```
      Provides information about the specified inference scheduler, including data upload frequency, model name and ARN, and status.
- Class com.amazonaws.services.lookoutequipment.model.ListLabelGroupsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - labelGroupNameBeginsWith
```
String labelGroupNameBeginsWith
```
      The beginning of the name of the label groups to be listed.
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of label groups.
    - maxResults
```
Integer maxResults
```
      Specifies the maximum number of label groups to list.
- Class com.amazonaws.services.lookoutequipment.model.ListLabelGroupsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of label groups.
    - labelGroupSummaries
```
List<E> labelGroupSummaries
```
      A summary of the label groups.
- Class com.amazonaws.services.lookoutequipment.model.ListLabelsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      Returns the name of the label group.
    - intervalStartTime
```
Date intervalStartTime
```
      Returns all the labels with a end time equal to or later than the start time given.
    - intervalEndTime
```
Date intervalEndTime
```
      Returns all labels with a start time earlier than the end time given.
    - faultCode
```
String faultCode
```
      Returns labels with a particular fault code.
    - equipment
```
String equipment
```
      Lists the labels that pertain to a particular piece of equipment.
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of label groups.
    - maxResults
```
Integer maxResults
```
      Specifies the maximum number of labels to list.
- Class com.amazonaws.services.lookoutequipment.model.ListLabelsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of datasets.
    - labelSummaries
```
List<E> labelSummaries
```
      A summary of the items in the label group.
      
      If you don't supply the LabelGroupName request parameter, or if you supply the name of a label group that doesn't exist, ListLabels returns an empty array in LabelSummaries.
- Class com.amazonaws.services.lookoutequipment.model.ListModelsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of machine learning models.
    - maxResults
```
Integer maxResults
```
      Specifies the maximum number of machine learning models to list.
    - status
```
String status
```
      The status of the machine learning model.
    - modelNameBeginsWith
```
String modelNameBeginsWith
```
      The beginning of the name of the machine learning models being listed.
    - datasetNameBeginsWith
```
String datasetNameBeginsWith
```
      The beginning of the name of the dataset of the machine learning models to be listed.
- Class com.amazonaws.services.lookoutequipment.model.ListModelsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of machine learning models.
    - modelSummaries
```
List<E> modelSummaries
```
      Provides information on the specified model, including created time, model and dataset ARNs, and status.
- Class com.amazonaws.services.lookoutequipment.model.ListModelVersionsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      Then name of the machine learning model for which the model versions are to be listed.
    - nextToken
```
String nextToken
```
      If the total number of results exceeds the limit that the response can display, the response returns an opaque pagination token indicating where to continue the listing of machine learning model versions. Use this token in the NextToken field in the request to list the next page of results.
    - maxResults
```
Integer maxResults
```
      Specifies the maximum number of machine learning model versions to list.
    - status
```
String status
```
      Filter the results based on the current status of the model version.
    - sourceType
```
String sourceType
```
      Filter the results based on the way the model version was generated.
    - createdAtEndTime
```
Date createdAtEndTime
```
      Filter results to return all the model versions created before this time.
    - createdAtStartTime
```
Date createdAtStartTime
```
      Filter results to return all the model versions created after this time.
    - maxModelVersion
```
Long maxModelVersion
```
      Specifies the highest version of the model to return in the list.
    - minModelVersion
```
Long minModelVersion
```
      Specifies the lowest version of the model to return in the list.
- Class com.amazonaws.services.lookoutequipment.model.ListModelVersionsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - nextToken
```
String nextToken
```
      If the total number of results exceeds the limit that the response can display, the response returns an opaque pagination token indicating where to continue the listing of machine learning model versions. Use this token in the NextToken field in the request to list the next page of results.
    - modelVersionSummaries
```
List<E> modelVersionSummaries
```
      Provides information on the specified model version, including the created time, model and dataset ARNs, and status.
      
      If you don't supply the ModelName request parameter, or if you supply the name of a model that doesn't exist, ListModelVersions returns an empty array in ModelVersionSummaries.
- Class com.amazonaws.services.lookoutequipment.model.ListRetrainingSchedulersRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelNameBeginsWith
```
String modelNameBeginsWith
```
      Specify this field to only list retraining schedulers whose machine learning models begin with the value you specify.
    - status
```
String status
```
      Specify this field to only list retraining schedulers whose status matches the value you specify.
    - nextToken
```
String nextToken
```
      If the number of results exceeds the maximum, a pagination token is returned. Use the token in the request to show the next page of retraining schedulers.
    - maxResults
```
Integer maxResults
```
      Specifies the maximum number of retraining schedulers to list.
- Class com.amazonaws.services.lookoutequipment.model.ListRetrainingSchedulersResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - retrainingSchedulerSummaries
```
List<E> retrainingSchedulerSummaries
```
      Provides information on the specified retraining scheduler, including the model name, model ARN, status, and start date.
    - nextToken
```
String nextToken
```
      If the number of results exceeds the maximum, this pagination token is returned. Use this token in the request to show the next page of retraining schedulers.
- Class com.amazonaws.services.lookoutequipment.model.ListSensorStatisticsRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetName
```
String datasetName
```
      The name of the dataset associated with the list of Sensor Statistics.
    - ingestionJobId
```
String ingestionJobId
```
      The ingestion job id associated with the list of Sensor Statistics. To get sensor statistics for a particular ingestion job id, both dataset name and ingestion job id must be submitted as inputs.
    - maxResults
```
Integer maxResults
```
      Specifies the maximum number of sensors for which to retrieve statistics.
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of sensor statistics.
- Class com.amazonaws.services.lookoutequipment.model.ListSensorStatisticsResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - sensorStatisticsSummaries
```
List<E> sensorStatisticsSummaries
```
      Provides ingestion-based statistics regarding the specified sensor with respect to various validation types, such as whether data exists, the number and percentage of missing values, and the number and percentage of duplicate timestamps.
    - nextToken
```
String nextToken
```
      An opaque pagination token indicating where to continue the listing of sensor statistics.
- Class com.amazonaws.services.lookoutequipment.model.ListTagsForResourceRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - resourceArn
```
String resourceArn
```
      The Amazon Resource Name (ARN) of the resource (such as the dataset or model) that is the focus of the ListTagsForResource operation.
- Class com.amazonaws.services.lookoutequipment.model.ListTagsForResourceResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - tags
```
List<E> tags
```
      Any tags associated with the resource.
- Class com.amazonaws.services.lookoutequipment.model.MissingCompleteSensorData extends Object implements Serializable
  - Serialized Fields
    - affectedSensorCount
```
Integer affectedSensorCount
```
      Indicates the number of sensors that have data missing completely.
- Class com.amazonaws.services.lookoutequipment.model.MissingSensorData extends Object implements Serializable
  - Serialized Fields
    - affectedSensorCount
```
Integer affectedSensorCount
```
      Indicates the number of sensors that have atleast some data missing.
    - totalNumberOfMissingValues
```
Integer totalNumberOfMissingValues
```
      Indicates the total number of missing values across all the sensors.
- Class com.amazonaws.services.lookoutequipment.model.ModelDiagnosticsOutputConfiguration extends Object implements Serializable
  - Serialized Fields
    - s3OutputConfiguration
```
ModelDiagnosticsS3OutputConfiguration s3OutputConfiguration
```
      The Amazon S3 location for the pointwise model diagnostics.
    - kmsKeyId
```
String kmsKeyId
```
      The Amazon Web Services Key Management Service (KMS) key identifier to encrypt the pointwise model diagnostics files.
- Class com.amazonaws.services.lookoutequipment.model.ModelDiagnosticsS3OutputConfiguration extends Object implements Serializable
  - Serialized Fields
    - bucket
```
String bucket
```
      The name of the Amazon S3 bucket where the pointwise model diagnostics are located. You must be the owner of the Amazon S3 bucket.
    - prefix
```
String prefix
```
      The Amazon S3 prefix for the location of the pointwise model diagnostics. The prefix specifies the folder and evaluation result file name. (bucket).
      
      When you call CreateModel or UpdateModel, specify the path within the bucket that you want Lookout for Equipment to save the model to. During training, Lookout for Equipment creates the model evaluation model as a compressed JSON file with the name model_diagnostics_results.json.gz.
      
      When you call DescribeModel or DescribeModelVersion, prefix contains the file path and filename of the model evaluation file.
- Class com.amazonaws.services.lookoutequipment.model.ModelSummary extends Object implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the machine learning model.
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the machine learning model.
    - datasetName
```
String datasetName
```
      The name of the dataset being used for the machine learning model.
    - datasetArn
```
String datasetArn
```
      The Amazon Resource Name (ARN) of the dataset used to create the model.
    - status
```
String status
```
      Indicates the status of the machine learning model.
    - createdAt
```
Date createdAt
```
      The time at which the specific model was created.
    - activeModelVersion
```
Long activeModelVersion
```
      The model version that the inference scheduler uses to run an inference execution.
    - activeModelVersionArn
```
String activeModelVersionArn
```
      The Amazon Resource Name (ARN) of the model version that is set as active. The active model version is the model version that the inference scheduler uses to run an inference execution.
    - latestScheduledRetrainingStatus
```
String latestScheduledRetrainingStatus
```
      Indicates the status of the most recent scheduled retraining run.
    - latestScheduledRetrainingModelVersion
```
Long latestScheduledRetrainingModelVersion
```
      Indicates the most recent model version that was generated by retraining.
    - latestScheduledRetrainingStartTime
```
Date latestScheduledRetrainingStartTime
```
      Indicates the start time of the most recent scheduled retraining run.
    - nextScheduledRetrainingStartDate
```
Date nextScheduledRetrainingStartDate
```
      Indicates the date that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.
    - retrainingSchedulerStatus
```
String retrainingSchedulerStatus
```
      Indicates the status of the retraining scheduler.
    - modelDiagnosticsOutputConfiguration
```
ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration
```
    - modelQuality
```
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.
- Class com.amazonaws.services.lookoutequipment.model.ModelVersionSummary extends Object implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model that this model version is a version of.
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the model that this model version is a version of.
    - modelVersion
```
Long modelVersion
```
      The version of the model.
    - modelVersionArn
```
String modelVersionArn
```
      The Amazon Resource Name (ARN) of the model version.
    - createdAt
```
Date createdAt
```
      The time when this model version was created.
    - status
```
String status
```
      The current status of the model version.
    - sourceType
```
String sourceType
```
      Indicates how this model version was generated.
    - modelQuality
```
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 improving the quality of a model, see Best practices with Amazon Lookout for Equipment.
- Class com.amazonaws.services.lookoutequipment.model.MonotonicValues extends Object implements Serializable
  - Serialized Fields
    - status
```
String status
```
      Indicates whether there is a potential data issue related to having monotonic values.
    - monotonicity
```
String monotonicity
```
      Indicates the monotonicity of values. Can be INCREASING, DECREASING, or STATIC.
- Class com.amazonaws.services.lookoutequipment.model.MultipleOperatingModes extends Object implements Serializable
  - Serialized Fields
    - status
```
String status
```
      Indicates whether there is a potential data issue related to having multiple operating modes.
- Class com.amazonaws.services.lookoutequipment.model.PutResourcePolicyRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - resourceArn
```
String resourceArn
```
      The Amazon Resource Name (ARN) of the resource for which the policy is being created.
    - resourcePolicy
```
String resourcePolicy
```
      The JSON-formatted resource policy to create.
    - policyRevisionId
```
String policyRevisionId
```
      A unique identifier for a revision of the resource policy.
    - clientToken
```
String clientToken
```
      A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
- Class com.amazonaws.services.lookoutequipment.model.PutResourcePolicyResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - resourceArn
```
String resourceArn
```
      The Amazon Resource Name (ARN) of the resource for which the policy was created.
    - policyRevisionId
```
String policyRevisionId
```
      A unique identifier for a revision of the resource policy.
- Class com.amazonaws.services.lookoutequipment.model.ResourceNotFoundException extends AmazonLookoutEquipmentException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.lookoutequipment.model.RetrainingSchedulerSummary extends Object implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model that the retraining scheduler is attached to.
    - modelArn
```
String modelArn
```
      The ARN of the model that the retraining scheduler is attached to.
    - status
```
String status
```
      The status of the retraining scheduler.
    - retrainingStartDate
```
Date retrainingStartDate
```
      The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.
    - retrainingFrequency
```
String retrainingFrequency
```
      The frequency at which the model retraining is set. This follows the ISO 8601 guidelines.
    - lookbackWindow
```
String lookbackWindow
```
      The number of past days of data used for retraining.
- Class com.amazonaws.services.lookoutequipment.model.S3Object extends Object implements Serializable
  - Serialized Fields
    - bucket
```
String bucket
```
      The name of the specific S3 bucket.
    - key
```
String key
```
      The Amazon Web Services Key Management Service (KMS key) key being used to encrypt the S3 object. Without this key, data in the bucket is not accessible.
- Class com.amazonaws.services.lookoutequipment.model.SensorStatisticsSummary extends Object implements Serializable
  - Serialized Fields
    - componentName
```
String componentName
```
      Name of the component to which the particular sensor belongs for which the statistics belong to.
    - sensorName
```
String sensorName
```
      Name of the sensor that the statistics belong to.
    - dataExists
```
Boolean dataExists
```
      Parameter that indicates whether data exists for the sensor that the statistics belong to.
    - missingValues
```
CountPercent missingValues
```
      Parameter that describes the total number of, and percentage of, values that are missing for the sensor that the statistics belong to.
    - invalidValues
```
CountPercent invalidValues
```
      Parameter that describes the total number of, and percentage of, values that are invalid for the sensor that the statistics belong to.
    - invalidDateEntries
```
CountPercent invalidDateEntries
```
      Parameter that describes the total number of invalid date entries associated with the sensor that the statistics belong to.
    - duplicateTimestamps
```
CountPercent duplicateTimestamps
```
      Parameter that describes the total number of duplicate timestamp records associated with the sensor that the statistics belong to.
    - categoricalValues
```
CategoricalValues categoricalValues
```
      Parameter that describes potential risk about whether data associated with the sensor is categorical.
    - multipleOperatingModes
```
MultipleOperatingModes multipleOperatingModes
```
      Parameter that describes potential risk about whether data associated with the sensor has more than one operating mode.
    - largeTimestampGaps
```
LargeTimestampGaps largeTimestampGaps
```
      Parameter that describes potential risk about whether data associated with the sensor contains one or more large gaps between consecutive timestamps.
    - monotonicValues
```
MonotonicValues monotonicValues
```
      Parameter that describes potential risk about whether data associated with the sensor is mostly monotonic.
    - dataStartTime
```
Date dataStartTime
```
      Indicates the time reference to indicate the beginning of valid data associated with the sensor that the statistics belong to.
    - dataEndTime
```
Date dataEndTime
```
      Indicates the time reference to indicate the end of valid data associated with the sensor that the statistics belong to.
- Class com.amazonaws.services.lookoutequipment.model.SensorsWithShortDateRange extends Object implements Serializable
  - Serialized Fields
    - affectedSensorCount
```
Integer affectedSensorCount
```
      Indicates the number of sensors that have less than 14 days of data.
- Class com.amazonaws.services.lookoutequipment.model.ServiceQuotaExceededException extends AmazonLookoutEquipmentException implements Serializable
  
  serialVersionUID:
  
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- Class com.amazonaws.services.lookoutequipment.model.StartDataIngestionJobRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - datasetName
```
String datasetName
```
      The name of the dataset being used by the data ingestion job.
    - ingestionInputConfiguration
```
IngestionInputConfiguration ingestionInputConfiguration
```
      Specifies information for the input data for the data ingestion job, including dataset S3 location.
    - roleArn
```
String roleArn
```
      The Amazon Resource Name (ARN) of a role with permission to access the data source for the data ingestion job.
    - clientToken
```
String clientToken
```
      A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
- Class com.amazonaws.services.lookoutequipment.model.StartDataIngestionJobResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - jobId
```
String jobId
```
      Indicates the job ID of the data ingestion job.
    - status
```
String status
```
      Indicates the status of the StartDataIngestionJob operation.
- Class com.amazonaws.services.lookoutequipment.model.StartInferenceSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler to be started.
- Class com.amazonaws.services.lookoutequipment.model.StartInferenceSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the machine learning model being used by the inference scheduler.
    - modelName
```
String modelName
```
      The name of the machine learning model being used by the inference scheduler.
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler being started.
    - inferenceSchedulerArn
```
String inferenceSchedulerArn
```
      The Amazon Resource Name (ARN) of the inference scheduler being started.
    - status
```
String status
```
      Indicates the status of the inference scheduler.
- Class com.amazonaws.services.lookoutequipment.model.StartRetrainingSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model whose retraining scheduler you want to start.
- Class com.amazonaws.services.lookoutequipment.model.StartRetrainingSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model whose retraining scheduler is being started.
    - modelArn
```
String modelArn
```
      The ARN of the model whose retraining scheduler is being started.
    - status
```
String status
```
      The status of the retraining scheduler.
- Class com.amazonaws.services.lookoutequipment.model.StopInferenceSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler to be stopped.
- Class com.amazonaws.services.lookoutequipment.model.StopInferenceSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler being stopped.
    - modelName
```
String modelName
```
      The name of the machine learning model used by the inference scheduler being stopped.
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler being stopped.
    - inferenceSchedulerArn
```
String inferenceSchedulerArn
```
      The Amazon Resource Name (ARN) of the inference schedule being stopped.
    - status
```
String status
```
      Indicates the status of the inference scheduler.
- Class com.amazonaws.services.lookoutequipment.model.StopRetrainingSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model whose retraining scheduler you want to stop.
- Class com.amazonaws.services.lookoutequipment.model.StopRetrainingSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model whose retraining scheduler is being stopped.
    - modelArn
```
String modelArn
```
      The ARN of the model whose retraining scheduler is being stopped.
    - status
```
String status
```
      The status of the retraining scheduler.
- Class com.amazonaws.services.lookoutequipment.model.Tag extends Object implements Serializable
  - Serialized Fields
    - key
```
String key
```
      The key for the specified tag.
    - value
```
String value
```
      The value for the specified tag.
- Class com.amazonaws.services.lookoutequipment.model.TagResourceRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - resourceArn
```
String resourceArn
```
      The Amazon Resource Name (ARN) of the specific resource to which the tag should be associated.
    - tags
```
List<E> tags
```
      The tag or tags to be associated with a specific resource. Both the tag key and value are specified.
- Class com.amazonaws.services.lookoutequipment.model.TagResourceResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.ThrottlingException extends AmazonLookoutEquipmentException implements Serializable
  
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- Class com.amazonaws.services.lookoutequipment.model.UnsupportedTimestamps extends Object implements Serializable
  - Serialized Fields
    - totalNumberOfUnsupportedTimestamps
```
Integer totalNumberOfUnsupportedTimestamps
```
      Indicates the total number of unsupported timestamps across the ingested data.
- Class com.amazonaws.services.lookoutequipment.model.UntagResourceRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - resourceArn
```
String resourceArn
```
      The Amazon Resource Name (ARN) of the resource to which the tag is currently associated.
    - tagKeys
```
List<E> tagKeys
```
      Specifies the key of the tag to be removed from a specified resource.
- Class com.amazonaws.services.lookoutequipment.model.UntagResourceResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.UpdateActiveModelVersionRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the machine learning model for which the active model version is being set.
    - modelVersion
```
Long modelVersion
```
      The version of the machine learning model for which the active model version is being set.
- Class com.amazonaws.services.lookoutequipment.model.UpdateActiveModelVersionResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the machine learning model for which the active model version was set.
    - modelArn
```
String modelArn
```
      The Amazon Resource Name (ARN) of the machine learning model for which the active model version was set.
    - currentActiveVersion
```
Long currentActiveVersion
```
      The version that is currently active of the machine learning model for which the active model version was set.
    - previousActiveVersion
```
Long previousActiveVersion
```
      The previous version that was active of the machine learning model for which the active model version was set.
    - currentActiveVersionArn
```
String currentActiveVersionArn
```
      The Amazon Resource Name (ARN) of the machine learning model version that is the current active model version.
    - previousActiveVersionArn
```
String previousActiveVersionArn
```
      The Amazon Resource Name (ARN) of the machine learning model version that was the previous active model version.
- Class com.amazonaws.services.lookoutequipment.model.UpdateInferenceSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - inferenceSchedulerName
```
String inferenceSchedulerName
```
      The name of the inference scheduler to be updated.
    - dataDelayOffsetInMinutes
```
Long dataDelayOffsetInMinutes
```
      A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.
    - dataUploadFrequency
```
String dataUploadFrequency
```
      How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.
    - dataInputConfiguration
```
InferenceInputConfiguration dataInputConfiguration
```
      Specifies information for the input data for the inference scheduler, including delimiter, format, and dataset location.
    - dataOutputConfiguration
```
InferenceOutputConfiguration dataOutputConfiguration
```
      Specifies information for the output results from the inference scheduler, including the output S3 location.
    - roleArn
```
String roleArn
```
      The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler.
- Class com.amazonaws.services.lookoutequipment.model.UpdateInferenceSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.UpdateLabelGroupRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - labelGroupName
```
String labelGroupName
```
      The name of the label group to be updated.
    - faultCodes
```
List<E> faultCodes
```
      Updates the code indicating the type of anomaly associated with the label.
      
      Data in this field will be retained for service usage. Follow best practices for the security of your data.
- Class com.amazonaws.services.lookoutequipment.model.UpdateLabelGroupResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.UpdateModelRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model to update.
    - labelsInputConfiguration
```
LabelsInputConfiguration labelsInputConfiguration
```
    - roleArn
```
String roleArn
```
      The ARN of the model to update.
    - modelDiagnosticsOutputConfiguration
```
ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration
```
      The Amazon S3 location where you want Amazon Lookout for Equipment to save the pointwise model diagnostics for the model. You must also specify the RoleArn request parameter.
- Class com.amazonaws.services.lookoutequipment.model.UpdateModelResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.UpdateRetrainingSchedulerRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - modelName
```
String modelName
```
      The name of the model whose retraining scheduler you want to update.
    - retrainingStartDate
```
Date retrainingStartDate
```
      The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.
    - retrainingFrequency
```
String retrainingFrequency
```
      This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:
      
      P3M15D – Every 3 months and 15 days
      
      P2M – Every 2 months
      
      P150D – Every 150 days
    - lookbackWindow
```
String lookbackWindow
```
      The number of past days of data that will be used for retraining.
    - promoteMode
```
String promoteMode
```
      Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.
- Class com.amazonaws.services.lookoutequipment.model.UpdateRetrainingSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable
- Class com.amazonaws.services.lookoutequipment.model.ValidationException extends AmazonLookoutEquipmentException implements Serializable
  
  serialVersionUID:
  
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Serialized Form

Package com.amazonaws.services.lookoutequipment.model

Class com.amazonaws.services.lookoutequipment.model.AccessDeniedException extends AmazonLookoutEquipmentException implements Serializable

Class com.amazonaws.services.lookoutequipment.model.AmazonLookoutEquipmentException extends AmazonServiceException implements Serializable

Class com.amazonaws.services.lookoutequipment.model.CategoricalValues extends Object implements Serializable

Serialized Fields

status

numberOfCategory

Class com.amazonaws.services.lookoutequipment.model.ConflictException extends AmazonLookoutEquipmentException implements Serializable

Class com.amazonaws.services.lookoutequipment.model.CountPercent extends Object implements Serializable

Serialized Fields

count

percentage

Class com.amazonaws.services.lookoutequipment.model.CreateDatasetRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

datasetName

datasetSchema

serverSideKmsKeyId

clientToken

tags

Class com.amazonaws.services.lookoutequipment.model.CreateDatasetResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

datasetName

datasetArn

status

Class com.amazonaws.services.lookoutequipment.model.CreateInferenceSchedulerRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

modelName

inferenceSchedulerName

dataDelayOffsetInMinutes

dataUploadFrequency

dataInputConfiguration

dataOutputConfiguration

roleArn

serverSideKmsKeyId

clientToken

tags

Class com.amazonaws.services.lookoutequipment.model.CreateInferenceSchedulerResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

inferenceSchedulerArn

inferenceSchedulerName

status

modelQuality

Class com.amazonaws.services.lookoutequipment.model.CreateLabelGroupRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

labelGroupName

faultCodes

clientToken

tags

Class com.amazonaws.services.lookoutequipment.model.CreateLabelGroupResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

labelGroupName

labelGroupArn

Class com.amazonaws.services.lookoutequipment.model.CreateLabelRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

labelGroupName

startTime

endTime

rating

faultCode

notes

equipment

clientToken

Class com.amazonaws.services.lookoutequipment.model.CreateLabelResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

labelId

Class com.amazonaws.services.lookoutequipment.model.CreateModelRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

modelName

datasetName

datasetSchema

labelsInputConfiguration

clientToken

trainingDataStartTime

trainingDataEndTime

evaluationDataStartTime

evaluationDataEndTime

roleArn

dataPreProcessingConfiguration

serverSideKmsKeyId