Uses of Class
com.amazonaws.services.machinelearning.model.GetMLModelResult
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Packages that use GetMLModelResult Package Description com.amazonaws.services.machinelearning com.amazonaws.services.machinelearning.model -
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Uses of GetMLModelResult in com.amazonaws.services.machinelearning
Methods in com.amazonaws.services.machinelearning that return GetMLModelResult Modifier and Type Method Description GetMLModelResult
AbstractAmazonMachineLearning. getMLModel(GetMLModelRequest request)
GetMLModelResult
AmazonMachineLearning. getMLModel(GetMLModelRequest getMLModelRequest)
Returns anMLModel
that includes detailed metadata, and data source information as well as the current status of theMLModel
.GetMLModelResult
AmazonMachineLearningClient. getMLModel(GetMLModelRequest getMLModelRequest)
Returns anMLModel
that includes detailed metadata, and data source information as well as the current status of theMLModel
.Methods in com.amazonaws.services.machinelearning that return types with arguments of type GetMLModelResult Modifier and Type Method Description Future<GetMLModelResult>
AbstractAmazonMachineLearningAsync. getMLModelAsync(GetMLModelRequest request)
Future<GetMLModelResult>
AbstractAmazonMachineLearningAsync. getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)
Future<GetMLModelResult>
AmazonMachineLearningAsync. getMLModelAsync(GetMLModelRequest getMLModelRequest)
Returns anMLModel
that includes detailed metadata, and data source information as well as the current status of theMLModel
.Future<GetMLModelResult>
AmazonMachineLearningAsync. getMLModelAsync(GetMLModelRequest getMLModelRequest, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)
Returns anMLModel
that includes detailed metadata, and data source information as well as the current status of theMLModel
.Future<GetMLModelResult>
AmazonMachineLearningAsyncClient. getMLModelAsync(GetMLModelRequest request)
Future<GetMLModelResult>
AmazonMachineLearningAsyncClient. getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)
Method parameters in com.amazonaws.services.machinelearning with type arguments of type GetMLModelResult Modifier and Type Method Description Future<GetMLModelResult>
AbstractAmazonMachineLearningAsync. getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)
Future<GetMLModelResult>
AmazonMachineLearningAsync. getMLModelAsync(GetMLModelRequest getMLModelRequest, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)
Returns anMLModel
that includes detailed metadata, and data source information as well as the current status of theMLModel
.Future<GetMLModelResult>
AmazonMachineLearningAsyncClient. getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)
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Uses of GetMLModelResult in com.amazonaws.services.machinelearning.model
Methods in com.amazonaws.services.machinelearning.model that return GetMLModelResult Modifier and Type Method Description GetMLModelResult
GetMLModelResult. addTrainingParametersEntry(String key, String value)
GetMLModelResult
GetMLModelResult. clearTrainingParametersEntries()
Removes all the entries added into TrainingParameters.GetMLModelResult
GetMLModelResult. clone()
GetMLModelResult
GetMLModelResult. withCreatedAt(Date createdAt)
The time that theMLModel
was created.GetMLModelResult
GetMLModelResult. withCreatedByIamUser(String createdByIamUser)
The AWS user account from which theMLModel
was created.GetMLModelResult
GetMLModelResult. withEndpointInfo(RealtimeEndpointInfo endpointInfo)
The current endpoint of theMLModel
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 theMLModel
.GetMLModelResult
GetMLModelResult. withLogUri(String logUri)
A link to the file that contains logs of theCreateMLModel
operation.GetMLModelResult
GetMLModelResult. withMessage(String message)
Description of the most recent details about accessing theMLModel
.GetMLModelResult
GetMLModelResult. withMLModelId(String mLModelId)
The MLModel ID which is same as theMLModelId
in the request.GetMLModelResult
GetMLModelResult. withMLModelType(MLModelType mLModelType)
Identifies theMLModel
category.GetMLModelResult
GetMLModelResult. withMLModelType(String mLModelType)
Identifies theMLModel
category.GetMLModelResult
GetMLModelResult. withName(String name)
A user-supplied name or description of theMLModel
.GetMLModelResult
GetMLModelResult. withRecipe(String recipe)
The recipe to use when training theMLModel
.GetMLModelResult
GetMLModelResult. withSchema(String schema)
The schema used by all of the data files referenced by theDataSource
.GetMLModelResult
GetMLModelResult. withScoreThreshold(Float scoreThreshold)
The scoring threshold is used in binary classificationMLModel
s, and marks the boundary between a positive prediction and a negative prediction.GetMLModelResult
GetMLModelResult. withScoreThresholdLastUpdatedAt(Date scoreThresholdLastUpdatedAt)
The time of the most recent edit to theScoreThreshold
.GetMLModelResult
GetMLModelResult. withSizeInBytes(Long sizeInBytes)
GetMLModelResult
GetMLModelResult. withStatus(EntityStatus status)
The current status of theMLModel
.GetMLModelResult
GetMLModelResult. withStatus(String status)
The current status of theMLModel
.GetMLModelResult
GetMLModelResult. withTrainingDataSourceId(String trainingDataSourceId)
The ID of the trainingDataSource
.GetMLModelResult
GetMLModelResult. withTrainingParameters(Map<String,String> trainingParameters)
A list of the training parameters in theMLModel
.
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