name: amazonka-ml version: 1.6.1 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 copyright: Copyright (c) 2013-2018 Brendan Hay category: Network, AWS, Cloud, Distributed Computing build-type: Simple cabal-version: >= 1.10 extra-source-files: README.md fixture/*.yaml fixture/*.proto src/.gitkeep description: The types from this library are intended to be used with , which provides mechanisms for specifying AuthN/AuthZ information, sending requests, and receiving responses. . Lenses are used for constructing and manipulating types, due to the depth of nesting of AWS types and transparency regarding de/serialisation into more palatable Haskell values. The provided lenses should be compatible with any of the major lens libraries such as or . . See "Network.AWS.MachineLearning" or 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: Network.AWS.MachineLearning , Network.AWS.MachineLearning.AddTags , Network.AWS.MachineLearning.CreateBatchPrediction , Network.AWS.MachineLearning.CreateDataSourceFromRDS , Network.AWS.MachineLearning.CreateDataSourceFromRedshift , Network.AWS.MachineLearning.CreateDataSourceFromS3 , Network.AWS.MachineLearning.CreateEvaluation , Network.AWS.MachineLearning.CreateMLModel , Network.AWS.MachineLearning.CreateRealtimeEndpoint , Network.AWS.MachineLearning.DeleteBatchPrediction , Network.AWS.MachineLearning.DeleteDataSource , Network.AWS.MachineLearning.DeleteEvaluation , Network.AWS.MachineLearning.DeleteMLModel , Network.AWS.MachineLearning.DeleteRealtimeEndpoint , Network.AWS.MachineLearning.DeleteTags , Network.AWS.MachineLearning.DescribeBatchPredictions , Network.AWS.MachineLearning.DescribeDataSources , Network.AWS.MachineLearning.DescribeEvaluations , Network.AWS.MachineLearning.DescribeMLModels , Network.AWS.MachineLearning.DescribeTags , Network.AWS.MachineLearning.GetBatchPrediction , Network.AWS.MachineLearning.GetDataSource , Network.AWS.MachineLearning.GetEvaluation , Network.AWS.MachineLearning.GetMLModel , Network.AWS.MachineLearning.Predict , Network.AWS.MachineLearning.Types , Network.AWS.MachineLearning.UpdateBatchPrediction , Network.AWS.MachineLearning.UpdateDataSource , Network.AWS.MachineLearning.UpdateEvaluation , Network.AWS.MachineLearning.UpdateMLModel , Network.AWS.MachineLearning.Waiters other-modules: Network.AWS.MachineLearning.Types.Product , Network.AWS.MachineLearning.Types.Sum build-depends: amazonka-core == 1.6.1.* , base >= 4.7 && < 5 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.AWS.MachineLearning , Test.AWS.Gen.MachineLearning , Test.AWS.MachineLearning.Internal build-depends: amazonka-core == 1.6.1.* , amazonka-test == 1.6.1.* , amazonka-ml , base , bytestring , tasty , tasty-hunit , text , time , unordered-containers