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amazonka-ml.cabal
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amazonka-ml.cabal
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cabal-version: 2.2
name: amazonka-ml
version: 2.0
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 <brendan.g.hay+amazonka@gmail.com>, Jack Kelly <jack@jackkelly.name>
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 <http://hackage.haskell.org/package/amazonka amazonka>,
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 <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> 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 <http://hackage.haskell.org/package/lens lens> or <http://hackage.haskell.org/package/lens-family-core lens-family-core>.
.
See "Amazonka.MachineLearning" and the <https://aws.amazon.com/documentation/ AWS documentation> 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 && <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.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