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

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 ML 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 ML 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 ML 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.withCreatedAt(Date createdAt) Indicates the time and date at which the ML 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 ML model being described.
DescribeModelResult	DescribeModelResult.withDatasetName(String datasetName) The name of the dataset being used by the ML 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 ML 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 ML model.
DescribeModelResult	DescribeModelResult.withFailedReason(String failedReason) If the training of the ML model failed, this indicates the reason for that failure.
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 ML model was updated.
DescribeModelResult	DescribeModelResult.withModelArn(String modelArn) The Amazon Resource Name (ARN) of the ML 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 ML model being described.
DescribeModelResult	DescribeModelResult.withOffCondition(String offCondition) Indicates that the asset associated with this sensor has been shut off.
DescribeModelResult	DescribeModelResult.withRoleArn(String roleArn) The Amazon Resource Name (ARN) of a role with permission to access the data source for the ML 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.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 ML 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 ML model.
DescribeModelResult	DescribeModelResult.withTrainingExecutionEndTime(Date trainingExecutionEndTime) Indicates the time at which the training of the ML model was completed.
DescribeModelResult	DescribeModelResult.withTrainingExecutionStartTime(Date trainingExecutionStartTime) Indicates the time at which the training of the ML model began.