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