cabal-version: 2.2 name: amazonka-ml version: 2.0 x-revision: 1 synopsis: Amazon Machine Learning SDK. homepage: https://github.com/brendanhay/amazonka bug-reports: https://github.com/brendanhay/amazonka/issues license: MPL-2.0 license-file: LICENSE author: Brendan Hay maintainer: Brendan Hay , Jack Kelly copyright: Copyright (c) 2013-2023 Brendan Hay category: AWS build-type: Simple extra-source-files: fixture/*.proto fixture/*.yaml README.md src/.gitkeep description: Derived from API version @2014-12-12@ of the AWS service descriptions, licensed under Apache 2.0. . The types from this library are intended to be used with , which provides mechanisms for specifying AuthN/AuthZ information, sending requests, and receiving responses. . It is recommended to use generic lenses or optics from packages such as or to modify optional fields and deconstruct responses. . Generated lenses can be found in "Amazonka.MachineLearning.Lens" and are suitable for use with a lens package such as or . . See "Amazonka.MachineLearning" and the to get started. source-repository head type: git location: git://github.com/brendanhay/amazonka.git subdir: amazonka-ml library default-language: Haskell2010 hs-source-dirs: src gen ghc-options: -Wall -fwarn-incomplete-uni-patterns -fwarn-incomplete-record-updates -funbox-strict-fields exposed-modules: Amazonka.MachineLearning Amazonka.MachineLearning.AddTags Amazonka.MachineLearning.CreateBatchPrediction Amazonka.MachineLearning.CreateDataSourceFromRDS Amazonka.MachineLearning.CreateDataSourceFromRedshift Amazonka.MachineLearning.CreateDataSourceFromS3 Amazonka.MachineLearning.CreateEvaluation Amazonka.MachineLearning.CreateMLModel Amazonka.MachineLearning.CreateRealtimeEndpoint Amazonka.MachineLearning.DeleteBatchPrediction Amazonka.MachineLearning.DeleteDataSource Amazonka.MachineLearning.DeleteEvaluation Amazonka.MachineLearning.DeleteMLModel Amazonka.MachineLearning.DeleteRealtimeEndpoint Amazonka.MachineLearning.DeleteTags Amazonka.MachineLearning.DescribeBatchPredictions Amazonka.MachineLearning.DescribeDataSources Amazonka.MachineLearning.DescribeEvaluations Amazonka.MachineLearning.DescribeMLModels Amazonka.MachineLearning.DescribeTags Amazonka.MachineLearning.GetBatchPrediction Amazonka.MachineLearning.GetDataSource Amazonka.MachineLearning.GetEvaluation Amazonka.MachineLearning.GetMLModel Amazonka.MachineLearning.Lens Amazonka.MachineLearning.Predict Amazonka.MachineLearning.Types Amazonka.MachineLearning.Types.Algorithm Amazonka.MachineLearning.Types.BatchPrediction Amazonka.MachineLearning.Types.BatchPredictionFilterVariable Amazonka.MachineLearning.Types.DataSource Amazonka.MachineLearning.Types.DataSourceFilterVariable Amazonka.MachineLearning.Types.DetailsAttributes Amazonka.MachineLearning.Types.EntityStatus Amazonka.MachineLearning.Types.Evaluation Amazonka.MachineLearning.Types.EvaluationFilterVariable Amazonka.MachineLearning.Types.MLModel Amazonka.MachineLearning.Types.MLModelFilterVariable Amazonka.MachineLearning.Types.MLModelType Amazonka.MachineLearning.Types.PerformanceMetrics Amazonka.MachineLearning.Types.Prediction Amazonka.MachineLearning.Types.RDSDatabase Amazonka.MachineLearning.Types.RDSDatabaseCredentials Amazonka.MachineLearning.Types.RDSDataSpec Amazonka.MachineLearning.Types.RDSMetadata Amazonka.MachineLearning.Types.RealtimeEndpointInfo Amazonka.MachineLearning.Types.RealtimeEndpointStatus Amazonka.MachineLearning.Types.RedshiftDatabase Amazonka.MachineLearning.Types.RedshiftDatabaseCredentials Amazonka.MachineLearning.Types.RedshiftDataSpec Amazonka.MachineLearning.Types.RedshiftMetadata Amazonka.MachineLearning.Types.S3DataSpec Amazonka.MachineLearning.Types.SortOrder Amazonka.MachineLearning.Types.Tag Amazonka.MachineLearning.Types.TaggableResourceType Amazonka.MachineLearning.UpdateBatchPrediction Amazonka.MachineLearning.UpdateDataSource Amazonka.MachineLearning.UpdateEvaluation Amazonka.MachineLearning.UpdateMLModel Amazonka.MachineLearning.Waiters build-depends: , amazonka-core >=2.0 && <2.1 , base >=4.12 && <4.19 test-suite amazonka-ml-test type: exitcode-stdio-1.0 default-language: Haskell2010 hs-source-dirs: test main-is: Main.hs ghc-options: -Wall -threaded -- This section is encoded by the template and any modules added by -- hand outside these namespaces will not correctly be added to the -- distribution package. other-modules: Test.Amazonka.Gen.MachineLearning Test.Amazonka.MachineLearning Test.Amazonka.MachineLearning.Internal build-depends: , amazonka-core >=2.0 && <2.1 , amazonka-ml , amazonka-test >=2.0 && <2.1 , base , bytestring , case-insensitive , tasty , tasty-hunit , text , time , unordered-containers