name: amazonka-ml version: 1.3.6 x-revision: 1 synopsis: Amazon Machine Learning SDK. homepage: https://github.com/brendanhay/amazonka bug-reports: https://github.com/brendanhay/amazonka/issues license: OtherLicense license-file: LICENSE author: Brendan Hay maintainer: Brendan Hay copyright: Copyright (c) 2013-2015 Brendan Hay category: Network, AWS, Cloud, Distributed Computing build-type: Simple cabal-version: >= 1.10 extra-source-files: README.md fixture/*.yaml fixture/*.proto description: Definition of the public APIs exposed by Amazon Machine Learning . The types from this library are intended to be used with , which provides mechanisms for specifying AuthN/AuthZ information and sending requests. . Use of lenses is required for constructing and manipulating types. This is due to the amount 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" and the to get started. source-repository head type: git location: git://github.com/brendanhay/amazonka.git library default-language: Haskell2010 hs-source-dirs: src gen ghc-options: -Wall exposed-modules: Network.AWS.MachineLearning , 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.DescribeBatchPredictions , Network.AWS.MachineLearning.DescribeDataSources , Network.AWS.MachineLearning.DescribeEvaluations , Network.AWS.MachineLearning.DescribeMLModels , 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 == 1.3.6.* , base >= 4.7 && < 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.AWS.MachineLearning , Test.AWS.Gen.MachineLearning , Test.AWS.MachineLearning.Internal build-depends: amazonka-core == 1.3.6.* , amazonka-test == 1.3.6.* , amazonka-ml == 1.3.6.* , base , bytestring , lens , tasty , tasty-hunit , text , time , unordered-containers