Uses of Class
com.amazonaws.services.lookoutequipment.model.DescribeModelResult

Packages that use DescribeModelResult

Package	Description
com.amazonaws.services.lookoutequipment	Amazon Lookout for Equipment is a machine learning service that uses advanced analytics to identify anomalies in machines from sensor data for use in predictive maintenance.
com.amazonaws.services.lookoutequipment.model

Uses of DescribeModelResult in com.amazonaws.services.lookoutequipment

Methods in com.amazonaws.services.lookoutequipment that return DescribeModelResult

Modifier and Type	Method and Description
DescribeModelResult	AbstractAmazonLookoutEquipment.describeModel(DescribeModelRequest request)
DescribeModelResult	AmazonLookoutEquipment.describeModel(DescribeModelRequest describeModelRequest) Provides a JSON containing the overall information about a specific machine learning model, including model name and ARN, dataset, training and evaluation information, status, and so on.
DescribeModelResult	AmazonLookoutEquipmentClient.describeModel(DescribeModelRequest request) Provides a JSON containing the overall information about a specific machine learning model, including model name and ARN, dataset, training and evaluation information, status, and so on.

Methods in com.amazonaws.services.lookoutequipment that return types with arguments of type DescribeModelResult

Modifier and Type	Method and Description
Future<DescribeModelResult>	AmazonLookoutEquipmentAsyncClient.describeModelAsync(DescribeModelRequest request)
Future<DescribeModelResult>	AmazonLookoutEquipmentAsync.describeModelAsync(DescribeModelRequest describeModelRequest) Provides a JSON containing the overall information about a specific machine learning model, including model name and ARN, dataset, training and evaluation information, status, and so on.
Future<DescribeModelResult>	AbstractAmazonLookoutEquipmentAsync.describeModelAsync(DescribeModelRequest request)
Future<DescribeModelResult>	AmazonLookoutEquipmentAsyncClient.describeModelAsync(DescribeModelRequest request, AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler)
Future<DescribeModelResult>	AmazonLookoutEquipmentAsync.describeModelAsync(DescribeModelRequest describeModelRequest, AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler) Provides a JSON containing the overall information about a specific machine learning model, including model name and ARN, dataset, training and evaluation information, status, and so on.
Future<DescribeModelResult>	AbstractAmazonLookoutEquipmentAsync.describeModelAsync(DescribeModelRequest request, AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler)

Method parameters in com.amazonaws.services.lookoutequipment with type arguments of type DescribeModelResult

Modifier and Type	Method and Description
Future<DescribeModelResult>	AmazonLookoutEquipmentAsyncClient.describeModelAsync(DescribeModelRequest request, AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler)
Future<DescribeModelResult>	AmazonLookoutEquipmentAsync.describeModelAsync(DescribeModelRequest describeModelRequest, AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler) Provides a JSON containing the overall information about a specific machine learning model, including model name and ARN, dataset, training and evaluation information, status, and so on.
Future<DescribeModelResult>	AbstractAmazonLookoutEquipmentAsync.describeModelAsync(DescribeModelRequest request, AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler)

Uses of DescribeModelResult in com.amazonaws.services.lookoutequipment.model

Methods in com.amazonaws.services.lookoutequipment.model that return DescribeModelResult

Modifier and Type	Method and Description
DescribeModelResult	DescribeModelResult.clone()
DescribeModelResult	DescribeModelResult.withAccumulatedInferenceDataEndTime(Date accumulatedInferenceDataEndTime) Indicates the end time of the inference data that has been accumulated.
DescribeModelResult	DescribeModelResult.withAccumulatedInferenceDataStartTime(Date accumulatedInferenceDataStartTime) Indicates the start time of the inference data that has been accumulated.
DescribeModelResult	DescribeModelResult.withActiveModelVersion(Long activeModelVersion) The name of the model version used by the inference schedular when running a scheduled inference execution.
DescribeModelResult	DescribeModelResult.withActiveModelVersionArn(String activeModelVersionArn) The Amazon Resource Name (ARN) of the model version used by the inference scheduler when running a scheduled inference execution.
DescribeModelResult	DescribeModelResult.withCreatedAt(Date createdAt) Indicates the time and date at which the machine learning model was created.
DescribeModelResult	DescribeModelResult.withDataPreProcessingConfiguration(DataPreProcessingConfiguration dataPreProcessingConfiguration) The configuration is the TargetSamplingRate, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment.
DescribeModelResult	DescribeModelResult.withDatasetArn(String datasetArn) The Amazon Resouce Name (ARN) of the dataset used to create the machine learning model being described.
DescribeModelResult	DescribeModelResult.withDatasetName(String datasetName) The name of the dataset being used by the machine learning being described.
DescribeModelResult	DescribeModelResult.withEvaluationDataEndTime(Date evaluationDataEndTime) Indicates the time reference in the dataset that was used to end the subset of evaluation data for the machine learning model.
DescribeModelResult	DescribeModelResult.withEvaluationDataStartTime(Date evaluationDataStartTime) Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the machine learning model.
DescribeModelResult	DescribeModelResult.withFailedReason(String failedReason) If the training of the machine learning model failed, this indicates the reason for that failure.
DescribeModelResult	DescribeModelResult.withImportJobEndTime(Date importJobEndTime) The date and time when the import job was completed.
DescribeModelResult	DescribeModelResult.withImportJobStartTime(Date importJobStartTime) The date and time when the import job was started.
DescribeModelResult	DescribeModelResult.withLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration) Specifies configuration information about the labels input, including its S3 location.
DescribeModelResult	DescribeModelResult.withLastUpdatedTime(Date lastUpdatedTime) Indicates the last time the machine learning model was updated.
DescribeModelResult	DescribeModelResult.withLatestScheduledRetrainingAvailableDataInDays(Integer latestScheduledRetrainingAvailableDataInDays) Indicates the number of days of data used in the most recent scheduled retraining run.
DescribeModelResult	DescribeModelResult.withLatestScheduledRetrainingFailedReason(String latestScheduledRetrainingFailedReason) If the model version was generated by retraining and the training failed, this indicates the reason for that failure.
DescribeModelResult	DescribeModelResult.withLatestScheduledRetrainingModelVersion(Long latestScheduledRetrainingModelVersion) Indicates the most recent model version that was generated by retraining.
DescribeModelResult	DescribeModelResult.withLatestScheduledRetrainingStartTime(Date latestScheduledRetrainingStartTime) Indicates the start time of the most recent scheduled retraining run.
DescribeModelResult	DescribeModelResult.withLatestScheduledRetrainingStatus(ModelVersionStatus latestScheduledRetrainingStatus) Indicates the status of the most recent scheduled retraining run.
DescribeModelResult	DescribeModelResult.withLatestScheduledRetrainingStatus(String latestScheduledRetrainingStatus) Indicates the status of the most recent scheduled retraining run.
DescribeModelResult	DescribeModelResult.withModelArn(String modelArn) The Amazon Resource Name (ARN) of the machine learning model being described.
DescribeModelResult	DescribeModelResult.withModelMetrics(String modelMetrics) The Model Metrics show an aggregated summary of the model's performance within the evaluation time range.
DescribeModelResult	DescribeModelResult.withModelName(String modelName) The name of the machine learning model being described.
DescribeModelResult	DescribeModelResult.withModelVersionActivatedAt(Date modelVersionActivatedAt) The date the active model version was activated.
DescribeModelResult	DescribeModelResult.withNextScheduledRetrainingStartDate(Date nextScheduledRetrainingStartDate) Indicates the date and time that the next scheduled retraining run will start on.
DescribeModelResult	DescribeModelResult.withOffCondition(String offCondition) Indicates that the asset associated with this sensor has been shut off.
DescribeModelResult	DescribeModelResult.withPreviousActiveModelVersion(Long previousActiveModelVersion) The model version that was set as the active model version prior to the current active model version.
DescribeModelResult	DescribeModelResult.withPreviousActiveModelVersionArn(String previousActiveModelVersionArn) The ARN of the model version that was set as the active model version prior to the current active model version.
DescribeModelResult	DescribeModelResult.withPreviousModelVersionActivatedAt(Date previousModelVersionActivatedAt) The date and time when the previous active model version was activated.
DescribeModelResult	DescribeModelResult.withPriorModelMetrics(String priorModelMetrics) If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range.
DescribeModelResult	DescribeModelResult.withRetrainingSchedulerStatus(RetrainingSchedulerStatus retrainingSchedulerStatus) Indicates the status of the retraining scheduler.
DescribeModelResult	DescribeModelResult.withRetrainingSchedulerStatus(String retrainingSchedulerStatus) Indicates the status of the retraining scheduler.
DescribeModelResult	DescribeModelResult.withRoleArn(String roleArn) The Amazon Resource Name (ARN) of a role with permission to access the data source for the machine learning model being described.
DescribeModelResult	DescribeModelResult.withSchema(String schema) A JSON description of the data that is in each time series dataset, including names, column names, and data types.
DescribeModelResult	DescribeModelResult.withServerSideKmsKeyId(String serverSideKmsKeyId) Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.
DescribeModelResult	DescribeModelResult.withSourceModelVersionArn(String sourceModelVersionArn) The Amazon Resource Name (ARN) of the source model version.
DescribeModelResult	DescribeModelResult.withStatus(ModelStatus status) Specifies the current status of the model being described.
DescribeModelResult	DescribeModelResult.withStatus(String status) Specifies the current status of the model being described.
DescribeModelResult	DescribeModelResult.withTrainingDataEndTime(Date trainingDataEndTime) Indicates the time reference in the dataset that was used to end the subset of training data for the machine learning model.
DescribeModelResult	DescribeModelResult.withTrainingDataStartTime(Date trainingDataStartTime) Indicates the time reference in the dataset that was used to begin the subset of training data for the machine learning model.
DescribeModelResult	DescribeModelResult.withTrainingExecutionEndTime(Date trainingExecutionEndTime) Indicates the time at which the training of the machine learning model was completed.
DescribeModelResult	DescribeModelResult.withTrainingExecutionStartTime(Date trainingExecutionStartTime) Indicates the time at which the training of the machine learning model began.