Uses of Class
com.amazonaws.services.machinelearning.model.GetMLModelResult

Packages that use GetMLModelResult

Package	Description
com.amazonaws.services.machinelearning	Definition of the public APIs exposed by Amazon Machine Learning
com.amazonaws.services.machinelearning.model	Classes modeling the various types represented by AmazonMachineLearning

Uses of GetMLModelResult in com.amazonaws.services.machinelearning

Methods in com.amazonaws.services.machinelearning that return GetMLModelResult

Modifier and Type	Method and Description
GetMLModelResult	AmazonMachineLearning.getMLModel(GetMLModelRequest getMLModelRequest) Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.
GetMLModelResult	AmazonMachineLearningClient.getMLModel(GetMLModelRequest getMLModelRequest) Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

Uses of GetMLModelResult in com.amazonaws.services.machinelearning.model

Methods in com.amazonaws.services.machinelearning.model that return GetMLModelResult

Modifier and Type	Method and Description
GetMLModelResult	GetMLModelResult.addTrainingParametersEntry(String key, String value) A list of the training parameters in the MLModel.
GetMLModelResult	GetMLModelResult.clearTrainingParametersEntries() Removes all the entries added into TrainingParameters.
GetMLModelResult	GetMLModelResult.withComputeTime(Long computeTime) The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the MLModel, normalized and scaled on computation resources.
GetMLModelResult	GetMLModelResult.withCreatedAt(Date createdAt) The time that the MLModel was created.
GetMLModelResult	GetMLModelResult.withCreatedByIamUser(String createdByIamUser) The AWS user account from which the MLModel was created.
GetMLModelResult	GetMLModelResult.withEndpointInfo(RealtimeEndpointInfo endpointInfo) The current endpoint of the MLModel
GetMLModelResult	GetMLModelResult.withFinishedAt(Date finishedAt) The epoch time when Amazon Machine Learning marked the MLModel as COMPLETED or FAILED.
GetMLModelResult	GetMLModelResult.withInputDataLocationS3(String inputDataLocationS3) The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
GetMLModelResult	GetMLModelResult.withLastUpdatedAt(Date lastUpdatedAt) The time of the most recent edit to the MLModel.
GetMLModelResult	GetMLModelResult.withLogUri(String logUri) A link to the file that contains logs of the CreateMLModel operation.
GetMLModelResult	GetMLModelResult.withMessage(String message) A description of the most recent details about accessing the MLModel.
GetMLModelResult	GetMLModelResult.withMLModelId(String mLModelId) The MLModel ID, which is same as the MLModelId in the request.
GetMLModelResult	GetMLModelResult.withMLModelType(MLModelType mLModelType) Identifies the MLModel category.
GetMLModelResult	GetMLModelResult.withMLModelType(String mLModelType) Identifies the MLModel category.
GetMLModelResult	GetMLModelResult.withName(String name) A user-supplied name or description of the MLModel.
GetMLModelResult	GetMLModelResult.withRecipe(String recipe) The recipe to use when training the MLModel.
GetMLModelResult	GetMLModelResult.withSchema(String schema) The schema used by all of the data files referenced by the DataSource.
GetMLModelResult	GetMLModelResult.withScoreThreshold(Float scoreThreshold) The scoring threshold is used in binary classification MLModel models.
GetMLModelResult	GetMLModelResult.withScoreThresholdLastUpdatedAt(Date scoreThresholdLastUpdatedAt) The time of the most recent edit to the ScoreThreshold.
GetMLModelResult	GetMLModelResult.withSizeInBytes(Long sizeInBytes) Long integer type that is a 64-bit signed number.
GetMLModelResult	GetMLModelResult.withStartedAt(Date startedAt) The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS.
GetMLModelResult	GetMLModelResult.withStatus(EntityStatus status) The current status of the MLModel.
GetMLModelResult	GetMLModelResult.withStatus(String status) The current status of the MLModel.
GetMLModelResult	GetMLModelResult.withTrainingDataSourceId(String trainingDataSourceId) The ID of the training DataSource.
GetMLModelResult	GetMLModelResult.withTrainingParameters(Map<String,String> trainingParameters) A list of the training parameters in the MLModel.