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

Packages that use InvalidInputException

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

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

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

Modifier and Type	Method	Description
default AddTagsResponse	MachineLearningClient.addTags(Consumer<AddTagsRequest.Builder> addTagsRequest)	Adds one or more tags to an object, up to a limit of 10.
default AddTagsResponse	MachineLearningClient.addTags(AddTagsRequest 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()	This is a variant of MachineLearningClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation.
default DescribeBatchPredictionsIterable	MachineLearningClient.describeBatchPredictionsPaginator(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)	This is a variant of MachineLearningClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation.
default DescribeBatchPredictionsIterable	MachineLearningClient.describeBatchPredictionsPaginator(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)	This is a variant of MachineLearningClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation.
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()	This is a variant of MachineLearningClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation.
default DescribeDataSourcesIterable	MachineLearningClient.describeDataSourcesPaginator(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)	This is a variant of MachineLearningClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation.
default DescribeDataSourcesIterable	MachineLearningClient.describeDataSourcesPaginator(DescribeDataSourcesRequest describeDataSourcesRequest)	This is a variant of MachineLearningClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation.
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()	This is a variant of MachineLearningClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation.
default DescribeEvaluationsIterable	MachineLearningClient.describeEvaluationsPaginator(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)	This is a variant of MachineLearningClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation.
default DescribeEvaluationsIterable	MachineLearningClient.describeEvaluationsPaginator(DescribeEvaluationsRequest describeEvaluationsRequest)	This is a variant of MachineLearningClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation.
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()	This is a variant of MachineLearningClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) operation.
default DescribeMLModelsIterable	MachineLearningClient.describeMLModelsPaginator(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest)	This is a variant of MachineLearningClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) operation.
default DescribeMLModelsIterable	MachineLearningClient.describeMLModelsPaginator(DescribeMlModelsRequest describeMlModelsRequest)	This is a variant of MachineLearningClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) operation.
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.