Uses of Class
com.amazonaws.services.machinelearning.model.GetMLModelRequest
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Packages that use GetMLModelRequest Package Description com.amazonaws.services.machinelearning com.amazonaws.services.machinelearning.model -
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Uses of GetMLModelRequest in com.amazonaws.services.machinelearning
Methods in com.amazonaws.services.machinelearning with parameters of type GetMLModelRequest 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
.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 GetMLModelRequest 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 GetMLModelRequest in com.amazonaws.services.machinelearning.model
Methods in com.amazonaws.services.machinelearning.model that return GetMLModelRequest Modifier and Type Method Description GetMLModelRequest
GetMLModelRequest. clone()
GetMLModelRequest
GetMLModelRequest. withMLModelId(String mLModelId)
The ID assigned to theMLModel
at creation.GetMLModelRequest
GetMLModelRequest. withVerbose(Boolean verbose)
Specifies whether theGetMLModel
operation should returnRecipe
.
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