| Package | Description |
|---|---|
| software.amazon.awssdk.services.machinelearning |
Definition of the public APIs exposed by Amazon Machine Learning
|
| Modifier and Type | Method and Description |
|---|---|
default AddTagsResponse |
MachineLearningClient.addTags(AddTagsRequest addTagsRequest)
Adds one or more tags to an object, up to a limit of 10.
|
default AddTagsResponse |
MachineLearningClient.addTags(Consumer<AddTagsRequest.Builder> addTagsRequest)
Adds one or more tags to an object, up to a limit of 10.
|
default CreateBatchPredictionResponse |
MachineLearningClient.createBatchPrediction(Consumer<CreateBatchPredictionRequest.Builder> createBatchPredictionRequest)
Generates predictions for a group of observations.
|
default CreateBatchPredictionResponse |
MachineLearningClient.createBatchPrediction(CreateBatchPredictionRequest createBatchPredictionRequest)
Generates predictions for a group of observations.
|
default CreateDataSourceFromRdsResponse |
MachineLearningClient.createDataSourceFromRDS(Consumer<CreateDataSourceFromRdsRequest.Builder> createDataSourceFromRdsRequest)
Creates a
DataSource object from an Amazon Relational Database
Service (Amazon RDS). |
default CreateDataSourceFromRdsResponse |
MachineLearningClient.createDataSourceFromRDS(CreateDataSourceFromRdsRequest createDataSourceFromRdsRequest)
Creates a
DataSource object from an Amazon Relational Database
Service (Amazon RDS). |
default CreateDataSourceFromRedshiftResponse |
MachineLearningClient.createDataSourceFromRedshift(Consumer<CreateDataSourceFromRedshiftRequest.Builder> createDataSourceFromRedshiftRequest)
Creates a
DataSource from a database hosted on an Amazon Redshift cluster. |
default CreateDataSourceFromRedshiftResponse |
MachineLearningClient.createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest)
Creates a
DataSource from a database hosted on an Amazon Redshift cluster. |
default CreateDataSourceFromS3Response |
MachineLearningClient.createDataSourceFromS3(Consumer<CreateDataSourceFromS3Request.Builder> createDataSourceFromS3Request)
Creates a
DataSource object. |
default CreateDataSourceFromS3Response |
MachineLearningClient.createDataSourceFromS3(CreateDataSourceFromS3Request createDataSourceFromS3Request)
Creates a
DataSource object. |
default CreateEvaluationResponse |
MachineLearningClient.createEvaluation(Consumer<CreateEvaluationRequest.Builder> createEvaluationRequest)
Creates a new
Evaluation of an MLModel. |
default CreateEvaluationResponse |
MachineLearningClient.createEvaluation(CreateEvaluationRequest createEvaluationRequest)
Creates a new
Evaluation of an MLModel. |
default CreateMlModelResponse |
MachineLearningClient.createMLModel(Consumer<CreateMlModelRequest.Builder> createMlModelRequest)
Creates a new
MLModel using the DataSource and the recipe as information sources. |
default CreateMlModelResponse |
MachineLearningClient.createMLModel(CreateMlModelRequest createMlModelRequest)
Creates a new
MLModel using the DataSource and the recipe as information sources. |
default CreateRealtimeEndpointResponse |
MachineLearningClient.createRealtimeEndpoint(Consumer<CreateRealtimeEndpointRequest.Builder> createRealtimeEndpointRequest)
Creates a real-time endpoint for the
MLModel. |
default CreateRealtimeEndpointResponse |
MachineLearningClient.createRealtimeEndpoint(CreateRealtimeEndpointRequest createRealtimeEndpointRequest)
Creates a real-time endpoint for the
MLModel. |
default DeleteBatchPredictionResponse |
MachineLearningClient.deleteBatchPrediction(Consumer<DeleteBatchPredictionRequest.Builder> deleteBatchPredictionRequest)
Assigns the DELETED status to a
BatchPrediction, rendering it unusable. |
default DeleteBatchPredictionResponse |
MachineLearningClient.deleteBatchPrediction(DeleteBatchPredictionRequest deleteBatchPredictionRequest)
Assigns the DELETED status to a
BatchPrediction, rendering it unusable. |
default DeleteDataSourceResponse |
MachineLearningClient.deleteDataSource(Consumer<DeleteDataSourceRequest.Builder> deleteDataSourceRequest)
Assigns the DELETED status to a
DataSource, rendering it unusable. |
default DeleteDataSourceResponse |
MachineLearningClient.deleteDataSource(DeleteDataSourceRequest deleteDataSourceRequest)
Assigns the DELETED status to a
DataSource, rendering it unusable. |
default DeleteEvaluationResponse |
MachineLearningClient.deleteEvaluation(Consumer<DeleteEvaluationRequest.Builder> deleteEvaluationRequest)
Assigns the
DELETED status to an Evaluation, rendering it unusable. |
default DeleteEvaluationResponse |
MachineLearningClient.deleteEvaluation(DeleteEvaluationRequest deleteEvaluationRequest)
Assigns the
DELETED status to an Evaluation, rendering it unusable. |
default DeleteMlModelResponse |
MachineLearningClient.deleteMLModel(Consumer<DeleteMlModelRequest.Builder> deleteMlModelRequest)
Assigns the
DELETED status to an MLModel, rendering it unusable. |
default DeleteMlModelResponse |
MachineLearningClient.deleteMLModel(DeleteMlModelRequest deleteMlModelRequest)
Assigns the
DELETED status to an MLModel, rendering it unusable. |
default DeleteRealtimeEndpointResponse |
MachineLearningClient.deleteRealtimeEndpoint(Consumer<DeleteRealtimeEndpointRequest.Builder> deleteRealtimeEndpointRequest)
Deletes a real time endpoint of an
MLModel. |
default DeleteRealtimeEndpointResponse |
MachineLearningClient.deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest)
Deletes a real time endpoint of an
MLModel. |
default DeleteTagsResponse |
MachineLearningClient.deleteTags(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest)
Deletes the specified tags associated with an ML object.
|
default DeleteTagsResponse |
MachineLearningClient.deleteTags(DeleteTagsRequest deleteTagsRequest)
Deletes the specified tags associated with an ML object.
|
default DescribeBatchPredictionsResponse |
MachineLearningClient.describeBatchPredictions()
Returns a list of
BatchPrediction operations that match the search criteria in the request. |
default DescribeBatchPredictionsResponse |
MachineLearningClient.describeBatchPredictions(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)
Returns a list of
BatchPrediction operations that match the search criteria in the request. |
default DescribeBatchPredictionsResponse |
MachineLearningClient.describeBatchPredictions(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)
Returns a list of
BatchPrediction operations that match the search criteria in the request. |
default DescribeBatchPredictionsIterable |
MachineLearningClient.describeBatchPredictionsPaginator()
Returns a list of
BatchPrediction operations that match the search criteria in the request. |
default DescribeBatchPredictionsIterable |
MachineLearningClient.describeBatchPredictionsPaginator(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)
Returns a list of
BatchPrediction operations that match the search criteria in the request. |
default DescribeBatchPredictionsIterable |
MachineLearningClient.describeBatchPredictionsPaginator(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)
Returns a list of
BatchPrediction operations that match the search criteria in the request. |
default DescribeDataSourcesResponse |
MachineLearningClient.describeDataSources()
Returns a list of
DataSource that match the search criteria in the request. |
default DescribeDataSourcesResponse |
MachineLearningClient.describeDataSources(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)
Returns a list of
DataSource that match the search criteria in the request. |
default DescribeDataSourcesResponse |
MachineLearningClient.describeDataSources(DescribeDataSourcesRequest describeDataSourcesRequest)
Returns a list of
DataSource that match the search criteria in the request. |
default DescribeDataSourcesIterable |
MachineLearningClient.describeDataSourcesPaginator()
Returns a list of
DataSource that match the search criteria in the request. |
default DescribeDataSourcesIterable |
MachineLearningClient.describeDataSourcesPaginator(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)
Returns a list of
DataSource that match the search criteria in the request. |
default DescribeDataSourcesIterable |
MachineLearningClient.describeDataSourcesPaginator(DescribeDataSourcesRequest describeDataSourcesRequest)
Returns a list of
DataSource that match the search criteria in the request. |
default DescribeEvaluationsResponse |
MachineLearningClient.describeEvaluations()
Returns a list of
DescribeEvaluations that match the search criteria in the request. |
default DescribeEvaluationsResponse |
MachineLearningClient.describeEvaluations(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)
Returns a list of
DescribeEvaluations that match the search criteria in the request. |
default DescribeEvaluationsResponse |
MachineLearningClient.describeEvaluations(DescribeEvaluationsRequest describeEvaluationsRequest)
Returns a list of
DescribeEvaluations that match the search criteria in the request. |
default DescribeEvaluationsIterable |
MachineLearningClient.describeEvaluationsPaginator()
Returns a list of
DescribeEvaluations that match the search criteria in the request. |
default DescribeEvaluationsIterable |
MachineLearningClient.describeEvaluationsPaginator(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)
Returns a list of
DescribeEvaluations that match the search criteria in the request. |
default DescribeEvaluationsIterable |
MachineLearningClient.describeEvaluationsPaginator(DescribeEvaluationsRequest describeEvaluationsRequest)
Returns a list of
DescribeEvaluations that match the search criteria in the request. |
default DescribeMlModelsResponse |
MachineLearningClient.describeMLModels()
Returns a list of
MLModel that match the search criteria in the request. |
default DescribeMlModelsResponse |
MachineLearningClient.describeMLModels(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest)
Returns a list of
MLModel that match the search criteria in the request. |
default DescribeMlModelsResponse |
MachineLearningClient.describeMLModels(DescribeMlModelsRequest describeMlModelsRequest)
Returns a list of
MLModel that match the search criteria in the request. |
default DescribeMLModelsIterable |
MachineLearningClient.describeMLModelsPaginator()
Returns a list of
MLModel that match the search criteria in the request. |
default DescribeMLModelsIterable |
MachineLearningClient.describeMLModelsPaginator(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest)
Returns a list of
MLModel that match the search criteria in the request. |
default DescribeMLModelsIterable |
MachineLearningClient.describeMLModelsPaginator(DescribeMlModelsRequest describeMlModelsRequest)
Returns a list of
MLModel that match the search criteria in the request. |
default DescribeTagsResponse |
MachineLearningClient.describeTags(Consumer<DescribeTagsRequest.Builder> describeTagsRequest)
Describes one or more of the tags for your Amazon ML object.
|
default DescribeTagsResponse |
MachineLearningClient.describeTags(DescribeTagsRequest describeTagsRequest)
Describes one or more of the tags for your Amazon ML object.
|
default GetBatchPredictionResponse |
MachineLearningClient.getBatchPrediction(Consumer<GetBatchPredictionRequest.Builder> getBatchPredictionRequest)
Returns a
BatchPrediction that includes detailed metadata, status, and data file information for a
Batch Prediction request. |
default GetBatchPredictionResponse |
MachineLearningClient.getBatchPrediction(GetBatchPredictionRequest getBatchPredictionRequest)
Returns a
BatchPrediction that includes detailed metadata, status, and data file information for a
Batch Prediction request. |
default GetDataSourceResponse |
MachineLearningClient.getDataSource(Consumer<GetDataSourceRequest.Builder> getDataSourceRequest)
Returns a
DataSource that includes metadata and data file information, as well as the current status
of the DataSource. |
default GetDataSourceResponse |
MachineLearningClient.getDataSource(GetDataSourceRequest getDataSourceRequest)
Returns a
DataSource that includes metadata and data file information, as well as the current status
of the DataSource. |
default GetEvaluationResponse |
MachineLearningClient.getEvaluation(Consumer<GetEvaluationRequest.Builder> getEvaluationRequest)
Returns an
Evaluation that includes metadata as well as the current status of the
Evaluation. |
default GetEvaluationResponse |
MachineLearningClient.getEvaluation(GetEvaluationRequest getEvaluationRequest)
Returns an
Evaluation that includes metadata as well as the current status of the
Evaluation. |
default GetMlModelResponse |
MachineLearningClient.getMLModel(Consumer<GetMlModelRequest.Builder> getMlModelRequest)
Returns an
MLModel that includes detailed metadata, data source information, and the current status
of the MLModel. |
default GetMlModelResponse |
MachineLearningClient.getMLModel(GetMlModelRequest getMlModelRequest)
Returns an
MLModel that includes detailed metadata, data source information, and the current status
of the MLModel. |
default PredictResponse |
MachineLearningClient.predict(Consumer<PredictRequest.Builder> predictRequest)
Generates a prediction for the observation using the specified
ML Model. |
default PredictResponse |
MachineLearningClient.predict(PredictRequest predictRequest)
Generates a prediction for the observation using the specified
ML Model. |
default UpdateBatchPredictionResponse |
MachineLearningClient.updateBatchPrediction(Consumer<UpdateBatchPredictionRequest.Builder> updateBatchPredictionRequest)
Updates the
BatchPredictionName of a BatchPrediction. |
default UpdateBatchPredictionResponse |
MachineLearningClient.updateBatchPrediction(UpdateBatchPredictionRequest updateBatchPredictionRequest)
Updates the
BatchPredictionName of a BatchPrediction. |
default UpdateDataSourceResponse |
MachineLearningClient.updateDataSource(Consumer<UpdateDataSourceRequest.Builder> updateDataSourceRequest)
Updates the
DataSourceName of a DataSource. |
default UpdateDataSourceResponse |
MachineLearningClient.updateDataSource(UpdateDataSourceRequest updateDataSourceRequest)
Updates the
DataSourceName of a DataSource. |
default UpdateEvaluationResponse |
MachineLearningClient.updateEvaluation(Consumer<UpdateEvaluationRequest.Builder> updateEvaluationRequest)
Updates the
EvaluationName of an Evaluation. |
default UpdateEvaluationResponse |
MachineLearningClient.updateEvaluation(UpdateEvaluationRequest updateEvaluationRequest)
Updates the
EvaluationName of an Evaluation. |
default UpdateMlModelResponse |
MachineLearningClient.updateMLModel(Consumer<UpdateMlModelRequest.Builder> updateMlModelRequest)
Updates the
MLModelName and the ScoreThreshold of an MLModel. |
default UpdateMlModelResponse |
MachineLearningClient.updateMLModel(UpdateMlModelRequest updateMlModelRequest)
Updates the
MLModelName and the ScoreThreshold of an MLModel. |
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