Uses of Class
com.amazonaws.services.machinelearning.model.GetMLModelResult
Packages that use GetMLModelResult
Package
Description
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Uses of GetMLModelResult in com.amazonaws.services.machinelearning
Methods in com.amazonaws.services.machinelearning that return GetMLModelResultModifier and TypeMethodDescriptionAbstractAmazonMachineLearning.getMLModel
(GetMLModelRequest request) AmazonMachineLearning.getMLModel
(GetMLModelRequest getMLModelRequest) Returns anMLModel
that includes detailed metadata, and data source information as well as the current status of theMLModel
.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 GetMLModelResultModifier and TypeMethodDescriptionAbstractAmazonMachineLearningAsync.getMLModelAsync
(GetMLModelRequest request) AbstractAmazonMachineLearningAsync.getMLModelAsync
(GetMLModelRequest request, AsyncHandler<GetMLModelRequest, GetMLModelResult> asyncHandler) AmazonMachineLearningAsync.getMLModelAsync
(GetMLModelRequest getMLModelRequest) Returns anMLModel
that includes detailed metadata, and data source information as well as the current status of theMLModel
.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
.AmazonMachineLearningAsyncClient.getMLModelAsync
(GetMLModelRequest request) AmazonMachineLearningAsyncClient.getMLModelAsync
(GetMLModelRequest request, AsyncHandler<GetMLModelRequest, GetMLModelResult> asyncHandler) Method parameters in com.amazonaws.services.machinelearning with type arguments of type GetMLModelResultModifier and TypeMethodDescriptionAbstractAmazonMachineLearningAsync.getMLModelAsync
(GetMLModelRequest request, AsyncHandler<GetMLModelRequest, GetMLModelResult> asyncHandler) 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
.AmazonMachineLearningAsyncClient.getMLModelAsync
(GetMLModelRequest request, AsyncHandler<GetMLModelRequest, GetMLModelResult> asyncHandler) -
Uses of GetMLModelResult in com.amazonaws.services.machinelearning.model
Methods in com.amazonaws.services.machinelearning.model that return GetMLModelResultModifier and TypeMethodDescriptionGetMLModelResult.addTrainingParametersEntry
(String key, String value) GetMLModelResult.clearTrainingParametersEntries()
Removes all the entries added into TrainingParameters.GetMLModelResult.clone()
GetMLModelResult.withCreatedAt
(Date createdAt) The time that theMLModel
was created.GetMLModelResult.withCreatedByIamUser
(String createdByIamUser) The AWS user account from which theMLModel
was created.GetMLModelResult.withEndpointInfo
(RealtimeEndpointInfo endpointInfo) The current endpoint of theMLModel
GetMLModelResult.withInputDataLocationS3
(String inputDataLocationS3) The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).GetMLModelResult.withLastUpdatedAt
(Date lastUpdatedAt) The time of the most recent edit to theMLModel
.GetMLModelResult.withLogUri
(String logUri) A link to the file that contains logs of theCreateMLModel
operation.GetMLModelResult.withMessage
(String message) Description of the most recent details about accessing theMLModel
.GetMLModelResult.withMLModelId
(String mLModelId) The MLModel ID which is same as theMLModelId
in the request.GetMLModelResult.withMLModelType
(MLModelType mLModelType) Identifies theMLModel
category.GetMLModelResult.withMLModelType
(String mLModelType) Identifies theMLModel
category.A user-supplied name or description of theMLModel
.GetMLModelResult.withRecipe
(String recipe) The recipe to use when training theMLModel
.GetMLModelResult.withSchema
(String schema) The schema used by all of the data files referenced by theDataSource
.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.withScoreThresholdLastUpdatedAt
(Date scoreThresholdLastUpdatedAt) The time of the most recent edit to theScoreThreshold
.GetMLModelResult.withSizeInBytes
(Long sizeInBytes) GetMLModelResult.withStatus
(EntityStatus status) The current status of theMLModel
.GetMLModelResult.withStatus
(String status) The current status of theMLModel
.GetMLModelResult.withTrainingDataSourceId
(String trainingDataSourceId) The ID of the trainingDataSource
.GetMLModelResult.withTrainingParameters
(Map<String, String> trainingParameters) A list of the training parameters in theMLModel
.