Uses of Class
software.amazon.awssdk.services.machinelearning.model.InternalServerException

Packages that use InternalServerException

Package	Description
software.amazon.awssdk.services.machinelearning	Definition of the public APIs exposed by Amazon Machine Learning

Uses of InternalServerException in software.amazon.awssdk.services.machinelearning

Methods in software.amazon.awssdk.services.machinelearning that throw InternalServerException

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 CreateBatchPredictionResponse	MachineLearningClient.createBatchPrediction(CreateBatchPredictionRequest createBatchPredictionRequest) Generates predictions for a group of observations.
default CreateDataSourceFromRDSResponse	MachineLearningClient.createDataSourceFromRDS(CreateDataSourceFromRDSRequest createDataSourceFromRDSRequest) Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS).
default CreateDataSourceFromRedshiftResponse	MachineLearningClient.createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest) Creates a DataSource from a database hosted on an Amazon Redshift cluster.
default CreateDataSourceFromS3Response	MachineLearningClient.createDataSourceFromS3(CreateDataSourceFromS3Request createDataSourceFromS3Request) Creates a DataSource object.
default CreateEvaluationResponse	MachineLearningClient.createEvaluation(CreateEvaluationRequest createEvaluationRequest) Creates a new Evaluation of an MLModel.
default CreateMLModelResponse	MachineLearningClient.createMLModel(CreateMLModelRequest createMLModelRequest) Creates a new MLModel using the DataSource and the recipe as information sources.
default CreateRealtimeEndpointResponse	MachineLearningClient.createRealtimeEndpoint(CreateRealtimeEndpointRequest createRealtimeEndpointRequest) Creates a real-time endpoint for the MLModel.
default DeleteBatchPredictionResponse	MachineLearningClient.deleteBatchPrediction(DeleteBatchPredictionRequest deleteBatchPredictionRequest) Assigns the DELETED status to a BatchPrediction, rendering it unusable.
default DeleteDataSourceResponse	MachineLearningClient.deleteDataSource(DeleteDataSourceRequest deleteDataSourceRequest) Assigns the DELETED status to a DataSource, rendering it unusable.
default DeleteEvaluationResponse	MachineLearningClient.deleteEvaluation(DeleteEvaluationRequest deleteEvaluationRequest) Assigns the DELETED status to an Evaluation, rendering it unusable.
default DeleteMLModelResponse	MachineLearningClient.deleteMLModel(DeleteMLModelRequest deleteMLModelRequest) Assigns the DELETED status to an MLModel, rendering it unusable.
default DeleteRealtimeEndpointResponse	MachineLearningClient.deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest) Deletes a real time endpoint of an MLModel.
default DeleteTagsResponse	MachineLearningClient.deleteTags(DeleteTagsRequest deleteTagsRequest) Deletes the specified tags associated with an ML object.
default DescribeBatchPredictionsResponse	MachineLearningClient.describeBatchPredictions(DescribeBatchPredictionsRequest describeBatchPredictionsRequest) Returns a list of BatchPrediction operations 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 DescribeEvaluationsResponse	MachineLearningClient.describeEvaluations(DescribeEvaluationsRequest describeEvaluationsRequest) Returns a list of DescribeEvaluations 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 DescribeTagsResponse	MachineLearningClient.describeTags(DescribeTagsRequest describeTagsRequest) Describes one or more of the tags for your Amazon ML object.
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(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(GetEvaluationRequest getEvaluationRequest) Returns an Evaluation that includes metadata as well as the current status of the Evaluation.
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(PredictRequest predictRequest) Generates a prediction for the observation using the specified ML Model.
default UpdateBatchPredictionResponse	MachineLearningClient.updateBatchPrediction(UpdateBatchPredictionRequest updateBatchPredictionRequest) Updates the BatchPredictionName of a BatchPrediction.
default UpdateDataSourceResponse	MachineLearningClient.updateDataSource(UpdateDataSourceRequest updateDataSourceRequest) Updates the DataSourceName of a DataSource.
default UpdateEvaluationResponse	MachineLearningClient.updateEvaluation(UpdateEvaluationRequest updateEvaluationRequest) Updates the EvaluationName of an Evaluation.
default UpdateMLModelResponse	MachineLearningClient.updateMLModel(UpdateMLModelRequest updateMLModelRequest) Updates the MLModelName and the ScoreThreshold of an MLModel.