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

Packages that use CreateModelRequest

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 CreateModelRequest in com.amazonaws.services.lookoutequipment

Methods in com.amazonaws.services.lookoutequipment with parameters of type CreateModelRequest

Modifier and Type	Method and Description
CreateModelResult	AbstractAmazonLookoutEquipment.createModel(CreateModelRequest request)
CreateModelResult	AmazonLookoutEquipment.createModel(CreateModelRequest createModelRequest) Creates a machine learning model for data inference.
CreateModelResult	AmazonLookoutEquipmentClient.createModel(CreateModelRequest request) Creates a machine learning model for data inference.
Future<CreateModelResult>	AmazonLookoutEquipmentAsyncClient.createModelAsync(CreateModelRequest request)
Future<CreateModelResult>	AmazonLookoutEquipmentAsync.createModelAsync(CreateModelRequest createModelRequest) Creates a machine learning model for data inference.
Future<CreateModelResult>	AbstractAmazonLookoutEquipmentAsync.createModelAsync(CreateModelRequest request)
Future<CreateModelResult>	AmazonLookoutEquipmentAsyncClient.createModelAsync(CreateModelRequest request, AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)
Future<CreateModelResult>	AmazonLookoutEquipmentAsync.createModelAsync(CreateModelRequest createModelRequest, AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler) Creates a machine learning model for data inference.
Future<CreateModelResult>	AbstractAmazonLookoutEquipmentAsync.createModelAsync(CreateModelRequest request, AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)

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

Modifier and Type	Method and Description
Future<CreateModelResult>	AmazonLookoutEquipmentAsyncClient.createModelAsync(CreateModelRequest request, AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)
Future<CreateModelResult>	AmazonLookoutEquipmentAsync.createModelAsync(CreateModelRequest createModelRequest, AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler) Creates a machine learning model for data inference.
Future<CreateModelResult>	AbstractAmazonLookoutEquipmentAsync.createModelAsync(CreateModelRequest request, AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)

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

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

Modifier and Type	Method and Description
CreateModelRequest	CreateModelRequest.clone()
CreateModelRequest	CreateModelRequest.withClientToken(String clientToken) A unique identifier for the request.
CreateModelRequest	CreateModelRequest.withDataPreProcessingConfiguration(DataPreProcessingConfiguration dataPreProcessingConfiguration) The configuration is the TargetSamplingRate, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment.
CreateModelRequest	CreateModelRequest.withDatasetName(String datasetName) The name of the dataset for the machine learning model being created.
CreateModelRequest	CreateModelRequest.withDatasetSchema(DatasetSchema datasetSchema) The data schema for the machine learning model being created.
CreateModelRequest	CreateModelRequest.withEvaluationDataEndTime(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.
CreateModelRequest	CreateModelRequest.withEvaluationDataStartTime(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.
CreateModelRequest	CreateModelRequest.withLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration) The input configuration for the labels being used for the machine learning model that's being created.
CreateModelRequest	CreateModelRequest.withModelDiagnosticsOutputConfiguration(ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration) The Amazon S3 location where you want Amazon Lookout for Equipment to save the pointwise model diagnostics.
CreateModelRequest	CreateModelRequest.withModelName(String modelName) The name for the machine learning model to be created.
CreateModelRequest	CreateModelRequest.withOffCondition(String offCondition) Indicates that the asset associated with this sensor has been shut off.
CreateModelRequest	CreateModelRequest.withRoleArn(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.
CreateModelRequest	CreateModelRequest.withServerSideKmsKeyId(String serverSideKmsKeyId) Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.
CreateModelRequest	CreateModelRequest.withTags(Collection<Tag> tags) Any tags associated with the machine learning model being created.
CreateModelRequest	CreateModelRequest.withTags(Tag... tags) Any tags associated with the machine learning model being created.
CreateModelRequest	CreateModelRequest.withTrainingDataEndTime(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.
CreateModelRequest	CreateModelRequest.withTrainingDataStartTime(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.