Uses of Class software.amazon.awssdk.services.machinelearning.model.IdempotentParameterMismatchException (AWS Java SDK :: Services :: Amazon Machine Learning 2.23.3 API)

Packages that use IdempotentParameterMismatchException
Package Description

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

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

Methods in software.amazon.awssdk.services.machinelearning that throw IdempotentParameterMismatchException
Modifier and Type	Method	Description
`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.