amazonka-ml 1.3.7 → 1.4.0

raw patch · 36 files changed

+231/−198 lines, 36 filesdep ~amazonka-coredep ~amazonka-mldep ~amazonka-testPVP ok

version bump matches the API change (PVP)

Dependency ranges changed: amazonka-core, amazonka-ml, amazonka-test

API changes (from Hackage documentation)

Files

• README.md +2/−2
• amazonka-ml.cabal +7/−7
• gen/Network/AWS/MachineLearning.hs +1/−3
• gen/Network/AWS/MachineLearning/CreateBatchPrediction.hs +7/−7
• gen/Network/AWS/MachineLearning/CreateDataSourceFromRDS.hs +16/−15
• gen/Network/AWS/MachineLearning/CreateDataSourceFromRedshift.hs +13/−13
• gen/Network/AWS/MachineLearning/CreateDataSourceFromS3.hs +13/−13
• gen/Network/AWS/MachineLearning/CreateEvaluation.hs +8/−8
• gen/Network/AWS/MachineLearning/CreateMLModel.hs +11/−11
• gen/Network/AWS/MachineLearning/CreateRealtimeEndpoint.hs +4/−4
• gen/Network/AWS/MachineLearning/DeleteBatchPrediction.hs +7/−7
• gen/Network/AWS/MachineLearning/DeleteDataSource.hs +5/−5
• gen/Network/AWS/MachineLearning/DeleteEvaluation.hs +6/−6
• gen/Network/AWS/MachineLearning/DeleteMLModel.hs +7/−7
• gen/Network/AWS/MachineLearning/DeleteRealtimeEndpoint.hs +4/−4
• gen/Network/AWS/MachineLearning/DescribeBatchPredictions.hs +5/−5
• gen/Network/AWS/MachineLearning/DescribeDataSources.hs +5/−5
• gen/Network/AWS/MachineLearning/DescribeEvaluations.hs +6/−6
• gen/Network/AWS/MachineLearning/DescribeMLModels.hs +5/−5
• gen/Network/AWS/MachineLearning/GetBatchPrediction.hs +6/−6
• gen/Network/AWS/MachineLearning/GetDataSource.hs +4/−4
• gen/Network/AWS/MachineLearning/GetEvaluation.hs +6/−5
• gen/Network/AWS/MachineLearning/GetMLModel.hs +5/−5
• gen/Network/AWS/MachineLearning/Predict.hs +3/−3
• gen/Network/AWS/MachineLearning/Types.hs +2/−1
• gen/Network/AWS/MachineLearning/Types/Product.hs +41/−9
• gen/Network/AWS/MachineLearning/Types/Sum.hs +1/−1
• gen/Network/AWS/MachineLearning/UpdateBatchPrediction.hs +7/−7
• gen/Network/AWS/MachineLearning/UpdateDataSource.hs +6/−6
• gen/Network/AWS/MachineLearning/UpdateEvaluation.hs +6/−6
• gen/Network/AWS/MachineLearning/UpdateMLModel.hs +7/−7
• gen/Network/AWS/MachineLearning/Waiters.hs +1/−1
• test/Main.hs +1/−1
• test/Test/AWS/Gen/MachineLearning.hs +1/−1
• test/Test/AWS/MachineLearning.hs +1/−1
• test/Test/AWS/MachineLearning/Internal.hs +1/−1

@@ -8,7 +8,7 @@  ## Version -`1.3.7`+`1.4.0`   ## Description@@ -16,7 +16,7 @@ Definition of the public APIs exposed by Amazon Machine Learning  Documentation is available via [Hackage](http://hackage.haskell.org/package/amazonka-ml)-and the [AWS API Reference](http://docs.aws.amazon.com/machine-learning/latest/APIReference/Welcome.html).+and the [AWS API Reference](https://aws.amazon.com/documentation/).  The types from this library are intended to be used with [amazonka](http://hackage.haskell.org/package/amazonka), which provides mechanisms for specifying AuthN/AuthZ information and sending requests.

@@ -1,5 +1,5 @@ name:                  amazonka-ml-version:               1.3.7+version:               1.4.0 synopsis:              Amazon Machine Learning SDK. homepage:              https://github.com/brendanhay/amazonka bug-reports:           https://github.com/brendanhay/amazonka/issues@@ -7,7 +7,7 @@ license-file:          LICENSE author:                Brendan Hay maintainer:            Brendan Hay <brendan.g.hay@gmail.com>-copyright:             Copyright (c) 2013-2015 Brendan Hay+copyright:             Copyright (c) 2013-2016 Brendan Hay category:              Network, AWS, Cloud, Distributed Computing build-type:            Simple cabal-version:         >= 1.10@@ -26,7 +26,7 @@     such as <http://hackage.haskell.org/package/lens lens> or     <http://hackage.haskell.org/package/lens-family-core lens-family-core>.     .-    See "Network.AWS.MachineLearning" and the <http://docs.aws.amazon.com/machine-learning/latest/APIReference/Welcome.html AWS API Reference>+    See "Network.AWS.MachineLearning" or <https://aws.amazon.com/documentation/ the AWS Documentation>     to get started.  source-repository head@@ -74,7 +74,7 @@         , Network.AWS.MachineLearning.Types.Sum      build-depends:-          amazonka-core == 1.3.7.*+          amazonka-core == 1.4.0.*         , base          >= 4.7     && < 5  test-suite amazonka-ml-test@@ -94,9 +94,9 @@         , Test.AWS.MachineLearning.Internal      build-depends:-          amazonka-core == 1.3.7.*-        , amazonka-test == 1.3.7.*-        , amazonka-ml == 1.3.7.*+          amazonka-core == 1.4.0.*+        , amazonka-test == 1.4.0.*+        , amazonka-ml == 1.4.0.*         , base         , bytestring         , tasty

@@ -5,15 +5,13 @@  -- | -- Module      : Network.AWS.MachineLearning--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated -- Portability : non-portable (GHC extensions) -- -- Definition of the public APIs exposed by Amazon Machine Learning------ /See:/ <http://docs.aws.amazon.com/machine-learning/latest/APIReference/Welcome.html AWS API Reference> module Network.AWS.MachineLearning     (     -- * Service Configuration

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.CreateBatchPrediction--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -29,12 +29,10 @@ -- returns and sets the 'BatchPrediction' status to 'PENDING'. After the -- 'BatchPrediction' completes, Amazon ML sets the status to 'COMPLETED'. ----- You can poll for status updates by using the GetBatchPrediction+-- You can poll for status updates by using the < GetBatchPrediction> -- operation and checking the 'Status' parameter of the result. After the -- 'COMPLETED' status appears, the results are available in the location -- specified by the 'OutputUri' parameter.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_CreateBatchPrediction.html AWS API Reference> for CreateBatchPrediction. module Network.AWS.MachineLearning.CreateBatchPrediction     (     -- * Creating a Request@@ -139,6 +137,8 @@                  CreateBatchPredictionResponse' <$>                    (x .?> "BatchPredictionId") <*> (pure (fromEnum s))) +instance Hashable CreateBatchPrediction+ instance ToHeaders CreateBatchPrediction where         toHeaders           = const@@ -168,11 +168,11 @@ instance ToQuery CreateBatchPrediction where         toQuery = const mempty --- | Represents the output of a CreateBatchPrediction operation, and is an+-- | Represents the output of a < CreateBatchPrediction> operation, and is an -- acknowledgement that Amazon ML received the request. ----- The CreateBatchPrediction operation is asynchronous. You can poll for--- status updates by using the GetBatchPrediction operation and checking+-- The < CreateBatchPrediction> operation is asynchronous. You can poll for+-- status updates by using the < GetBatchPrediction> operation and checking -- the 'Status' parameter of the result. -- -- /See:/ 'createBatchPredictionResponse' smart constructor.

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.CreateDataSourceFromRDS--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -21,21 +21,20 @@ -- Creates a 'DataSource' object from an -- <http://aws.amazon.com/rds/ Amazon Relational Database Service> (Amazon -- RDS). A 'DataSource' references data that can be used to perform--- CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.+-- < CreateMLModel>, < CreateEvaluation>, or < CreateBatchPrediction>+-- operations. -- -- 'CreateDataSourceFromRDS' is an asynchronous operation. In response to -- 'CreateDataSourceFromRDS', Amazon Machine Learning (Amazon ML) -- immediately returns and sets the 'DataSource' status to 'PENDING'. After -- the 'DataSource' is created and ready for use, Amazon ML sets the -- 'Status' parameter to 'COMPLETED'. 'DataSource' in 'COMPLETED' or--- 'PENDING' status can only be used to perform CreateMLModel,--- CreateEvaluation, or CreateBatchPrediction operations.+-- 'PENDING' status can only be used to perform < CreateMLModel>,+-- < CreateEvaluation>, or < CreateBatchPrediction> operations. -- -- If Amazon ML cannot accept the input source, it sets the 'Status' -- parameter to 'FAILED' and includes an error message in the 'Message'--- attribute of the GetDataSource operation response.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_CreateDataSourceFromRDS.html AWS API Reference> for CreateDataSourceFromRDS.+-- attribute of the < GetDataSource> operation response. module Network.AWS.MachineLearning.CreateDataSourceFromRDS     (     -- * Creating a Request@@ -183,6 +182,8 @@                  CreateDataSourceFromRDSResponse' <$>                    (x .?> "DataSourceId") <*> (pure (fromEnum s))) +instance Hashable CreateDataSourceFromRDS+ instance ToHeaders CreateDataSourceFromRDS where         toHeaders           = const@@ -210,15 +211,15 @@ instance ToQuery CreateDataSourceFromRDS where         toQuery = const mempty --- | Represents the output of a CreateDataSourceFromRDS operation, and is an--- acknowledgement that Amazon ML received the request.+-- | Represents the output of a < CreateDataSourceFromRDS> operation, and is+-- an acknowledgement that Amazon ML received the request. ----- The CreateDataSourceFromRDS operation is asynchronous. You can poll for--- updates by using the GetBatchPrediction operation and checking the--- 'Status' parameter. You can inspect the 'Message' when 'Status' shows up--- as 'FAILED'. You can also check the progress of the copy operation by--- going to the 'DataPipeline' console and looking up the pipeline using--- the pipelineId from the describe call.+-- The < CreateDataSourceFromRDS> operation is asynchronous. You can poll+-- for updates by using the < GetBatchPrediction> operation and checking+-- the 'Status' parameter. You can inspect the 'Message' when 'Status'+-- shows up as 'FAILED'. You can also check the progress of the copy+-- operation by going to the 'DataPipeline' console and looking up the+-- pipeline using the pipelineId from the describe call. -- -- /See:/ 'createDataSourceFromRDSResponse' smart constructor. data CreateDataSourceFromRDSResponse = CreateDataSourceFromRDSResponse'

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.CreateDataSourceFromRedshift--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -20,20 +20,20 @@ -- -- Creates a 'DataSource' from -- <http://aws.amazon.com/redshift/ Amazon Redshift>. A 'DataSource'--- references data that can be used to perform either CreateMLModel,--- CreateEvaluation or CreateBatchPrediction operations.+-- references data that can be used to perform either < CreateMLModel>,+-- < CreateEvaluation> or < CreateBatchPrediction> operations. -- -- 'CreateDataSourceFromRedshift' is an asynchronous operation. In response -- to 'CreateDataSourceFromRedshift', Amazon Machine Learning (Amazon ML) -- immediately returns and sets the 'DataSource' status to 'PENDING'. After -- the 'DataSource' is created and ready for use, Amazon ML sets the -- 'Status' parameter to 'COMPLETED'. 'DataSource' in 'COMPLETED' or--- 'PENDING' status can only be used to perform CreateMLModel,--- CreateEvaluation, or CreateBatchPrediction operations.+-- 'PENDING' status can only be used to perform < CreateMLModel>,+-- < CreateEvaluation>, or < CreateBatchPrediction> operations. -- -- If Amazon ML cannot accept the input source, it sets the 'Status' -- parameter to 'FAILED' and includes an error message in the 'Message'--- attribute of the GetDataSource operation response.+-- attribute of the < GetDataSource> operation response. -- -- The observations should exist in the database hosted on an Amazon -- Redshift cluster and should be specified by a 'SelectSqlQuery'. Amazon@@ -52,8 +52,6 @@ -- or split apart into word combinations? The recipe provides answers to -- these questions. For more information, see the Amazon Machine Learning -- Developer Guide.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_CreateDataSourceFromRedshift.html AWS API Reference> for CreateDataSourceFromRedshift. module Network.AWS.MachineLearning.CreateDataSourceFromRedshift     (     -- * Creating a Request@@ -189,6 +187,8 @@                  CreateDataSourceFromRedshiftResponse' <$>                    (x .?> "DataSourceId") <*> (pure (fromEnum s))) +instance Hashable CreateDataSourceFromRedshift+ instance ToHeaders CreateDataSourceFromRedshift where         toHeaders           = const@@ -215,12 +215,12 @@ instance ToQuery CreateDataSourceFromRedshift where         toQuery = const mempty --- | Represents the output of a CreateDataSourceFromRedshift operation, and--- is an acknowledgement that Amazon ML received the request.+-- | Represents the output of a < CreateDataSourceFromRedshift> operation,+-- and is an acknowledgement that Amazon ML received the request. ----- The CreateDataSourceFromRedshift operation is asynchronous. You can poll--- for updates by using the GetBatchPrediction operation and checking the--- 'Status' parameter.+-- The < CreateDataSourceFromRedshift> operation is asynchronous. You can+-- poll for updates by using the < GetBatchPrediction> operation and+-- checking the 'Status' parameter. -- -- /See:/ 'createDataSourceFromRedshiftResponse' smart constructor. data CreateDataSourceFromRedshiftResponse = CreateDataSourceFromRedshiftResponse'

@@ -12,27 +12,27 @@  -- | -- Module      : Network.AWS.MachineLearning.CreateDataSourceFromS3--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated -- Portability : non-portable (GHC extensions) -- -- Creates a 'DataSource' object. A 'DataSource' references data that can--- be used to perform CreateMLModel, CreateEvaluation, or--- CreateBatchPrediction operations.+-- be used to perform < CreateMLModel>, < CreateEvaluation>, or+-- < CreateBatchPrediction> operations. -- -- 'CreateDataSourceFromS3' is an asynchronous operation. In response to -- 'CreateDataSourceFromS3', Amazon Machine Learning (Amazon ML) -- immediately returns and sets the 'DataSource' status to 'PENDING'. After -- the 'DataSource' is created and ready for use, Amazon ML sets the -- 'Status' parameter to 'COMPLETED'. 'DataSource' in 'COMPLETED' or--- 'PENDING' status can only be used to perform CreateMLModel,--- CreateEvaluation or CreateBatchPrediction operations.+-- 'PENDING' status can only be used to perform < CreateMLModel>,+-- < CreateEvaluation> or < CreateBatchPrediction> operations. -- -- If Amazon ML cannot accept the input source, it sets the 'Status' -- parameter to 'FAILED' and includes an error message in the 'Message'--- attribute of the GetDataSource operation response.+-- attribute of the < GetDataSource> operation response. -- -- The observation data used in a 'DataSource' should be ready to use; that -- is, it should have a consistent structure, and missing data values@@ -52,8 +52,6 @@ -- another variable, or split apart into word combinations? The recipe -- provides answers to these questions. For more information, see the -- <http://docs.aws.amazon.com/machine-learning/latest/dg Amazon Machine Learning Developer Guide>.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_CreateDataSourceFromS3.html AWS API Reference> for CreateDataSourceFromS3. module Network.AWS.MachineLearning.CreateDataSourceFromS3     (     -- * Creating a Request@@ -156,6 +154,8 @@                  CreateDataSourceFromS3Response' <$>                    (x .?> "DataSourceId") <*> (pure (fromEnum s))) +instance Hashable CreateDataSourceFromS3+ instance ToHeaders CreateDataSourceFromS3 where         toHeaders           = const@@ -181,12 +181,12 @@ instance ToQuery CreateDataSourceFromS3 where         toQuery = const mempty --- | Represents the output of a CreateDataSourceFromS3 operation, and is an--- acknowledgement that Amazon ML received the request.+-- | Represents the output of a < CreateDataSourceFromS3> operation, and is+-- an acknowledgement that Amazon ML received the request. ----- The CreateDataSourceFromS3 operation is asynchronous. You can poll for--- updates by using the GetBatchPrediction operation and checking the--- 'Status' parameter.+-- The < CreateDataSourceFromS3> operation is asynchronous. You can poll+-- for updates by using the < GetBatchPrediction> operation and checking+-- the 'Status' parameter. -- -- /See:/ 'createDataSourceFromS3Response' smart constructor. data CreateDataSourceFromS3Response = CreateDataSourceFromS3Response'

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.CreateEvaluation--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -34,10 +34,8 @@ -- 'Evaluation' is created and ready for use, Amazon ML sets the status to -- 'COMPLETED'. ----- You can use the GetEvaluation operation to check progress of the+-- You can use the < GetEvaluation> operation to check progress of the -- evaluation during the creation operation.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_CreateEvaluation.html AWS API Reference> for CreateEvaluation. module Network.AWS.MachineLearning.CreateEvaluation     (     -- * Creating a Request@@ -125,6 +123,8 @@                  CreateEvaluationResponse' <$>                    (x .?> "EvaluationId") <*> (pure (fromEnum s))) +instance Hashable CreateEvaluation+ instance ToHeaders CreateEvaluation where         toHeaders           = const@@ -151,12 +151,12 @@ instance ToQuery CreateEvaluation where         toQuery = const mempty --- | Represents the output of a CreateEvaluation operation, and is an+-- | Represents the output of a < CreateEvaluation> operation, and is an -- acknowledgement that Amazon ML received the request. ----- CreateEvaluation operation is asynchronous. You can poll for status--- updates by using the GetEvaluation operation and checking the 'Status'--- parameter.+-- < CreateEvaluation> operation is asynchronous. You can poll for status+-- updates by using the < GetEvaluation> operation and checking the+-- 'Status' parameter. -- -- /See:/ 'createEvaluationResponse' smart constructor. data CreateEvaluationResponse = CreateEvaluationResponse'

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.CreateMLModel--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -30,15 +30,13 @@ -- and sets the 'MLModel' status to 'PENDING'. After the 'MLModel' is -- created and ready for use, Amazon ML sets the status to 'COMPLETED'. ----- You can use the GetMLModel operation to check progress of the 'MLModel'--- during the creation operation.+-- You can use the < GetMLModel> operation to check progress of the+-- 'MLModel' during the creation operation. ----- CreateMLModel requires a 'DataSource' with computed statistics, which+-- < CreateMLModel> requires a 'DataSource' with computed statistics, which -- can be created by setting 'ComputeStatistics' to 'true' in--- CreateDataSourceFromRDS, CreateDataSourceFromS3, or--- CreateDataSourceFromRedshift operations.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_CreateMLModel.html AWS API Reference> for CreateMLModel.+-- < CreateDataSourceFromRDS>, < CreateDataSourceFromS3>, or+-- < CreateDataSourceFromRedshift> operations. module Network.AWS.MachineLearning.CreateMLModel     (     -- * Creating a Request@@ -199,6 +197,8 @@                  CreateMLModelResponse' <$>                    (x .?> "MLModelId") <*> (pure (fromEnum s))) +instance Hashable CreateMLModel+ instance ToHeaders CreateMLModel where         toHeaders           = const@@ -228,11 +228,11 @@ instance ToQuery CreateMLModel where         toQuery = const mempty --- | Represents the output of a CreateMLModel operation, and is an+-- | Represents the output of a < CreateMLModel> operation, and is an -- acknowledgement that Amazon ML received the request. ----- The CreateMLModel operation is asynchronous. You can poll for status--- updates by using the GetMLModel operation and checking the 'Status'+-- The < CreateMLModel> operation is asynchronous. You can poll for status+-- updates by using the < GetMLModel> operation and checking the 'Status' -- parameter. -- -- /See:/ 'createMLModelResponse' smart constructor.

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.CreateRealtimeEndpoint--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -21,8 +21,6 @@ -- Creates a real-time endpoint for the 'MLModel'. The endpoint contains -- the URI of the 'MLModel'; that is, the location to send real-time -- prediction requests for the specified 'MLModel'.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_CreateRealtimeEndpoint.html AWS API Reference> for CreateRealtimeEndpoint. module Network.AWS.MachineLearning.CreateRealtimeEndpoint     (     -- * Creating a Request@@ -81,6 +79,8 @@                      (x .?> "MLModelId")                      <*> (pure (fromEnum s))) +instance Hashable CreateRealtimeEndpoint+ instance ToHeaders CreateRealtimeEndpoint where         toHeaders           = const@@ -102,7 +102,7 @@ instance ToQuery CreateRealtimeEndpoint where         toQuery = const mempty --- | Represents the output of an CreateRealtimeEndpoint operation.+-- | Represents the output of an < CreateRealtimeEndpoint> operation. -- -- The result contains the 'MLModelId' and the endpoint information for the -- 'MLModel'.

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.DeleteBatchPrediction--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -22,13 +22,11 @@ -- unusable. -- -- After using the 'DeleteBatchPrediction' operation, you can use the--- GetBatchPrediction operation to verify that the status of the+-- < GetBatchPrediction> operation to verify that the status of the -- 'BatchPrediction' changed to DELETED. -- -- __Caution:__ The result of the 'DeleteBatchPrediction' operation is -- irreversible.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DeleteBatchPrediction.html AWS API Reference> for DeleteBatchPrediction. module Network.AWS.MachineLearning.DeleteBatchPrediction     (     -- * Creating a Request@@ -84,6 +82,8 @@                  DeleteBatchPredictionResponse' <$>                    (x .?> "BatchPredictionId") <*> (pure (fromEnum s))) +instance Hashable DeleteBatchPrediction+ instance ToHeaders DeleteBatchPrediction where         toHeaders           = const@@ -107,10 +107,10 @@ instance ToQuery DeleteBatchPrediction where         toQuery = const mempty --- | Represents the output of a DeleteBatchPrediction operation.+-- | Represents the output of a < DeleteBatchPrediction> operation. ----- You can use the GetBatchPrediction operation and check the value of the--- 'Status' parameter to see whether a 'BatchPrediction' is marked as+-- You can use the < GetBatchPrediction> operation and check the value of+-- the 'Status' parameter to see whether a 'BatchPrediction' is marked as -- 'DELETED'. -- -- /See:/ 'deleteBatchPredictionResponse' smart constructor.

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.DeleteDataSource--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -21,13 +21,11 @@ -- Assigns the DELETED status to a 'DataSource', rendering it unusable. -- -- After using the 'DeleteDataSource' operation, you can use the--- GetDataSource operation to verify that the status of the 'DataSource'+-- < GetDataSource> operation to verify that the status of the 'DataSource' -- changed to DELETED. -- -- __Caution:__ The results of the 'DeleteDataSource' operation are -- irreversible.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DeleteDataSource.html AWS API Reference> for DeleteDataSource. module Network.AWS.MachineLearning.DeleteDataSource     (     -- * Creating a Request@@ -82,6 +80,8 @@                  DeleteDataSourceResponse' <$>                    (x .?> "DataSourceId") <*> (pure (fromEnum s))) +instance Hashable DeleteDataSource+ instance ToHeaders DeleteDataSource where         toHeaders           = const@@ -103,7 +103,7 @@ instance ToQuery DeleteDataSource where         toQuery = const mempty --- | Represents the output of a DeleteDataSource operation.+-- | Represents the output of a < DeleteDataSource> operation. -- -- /See:/ 'deleteDataSourceResponse' smart constructor. data DeleteDataSourceResponse = DeleteDataSourceResponse'

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.DeleteEvaluation--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -21,13 +21,11 @@ -- Assigns the 'DELETED' status to an 'Evaluation', rendering it unusable. -- -- After invoking the 'DeleteEvaluation' operation, you can use the--- GetEvaluation operation to verify that the status of the 'Evaluation'+-- < GetEvaluation> operation to verify that the status of the 'Evaluation' -- changed to 'DELETED'. -- -- __Caution:__ The results of the 'DeleteEvaluation' operation are -- irreversible.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DeleteEvaluation.html AWS API Reference> for DeleteEvaluation. module Network.AWS.MachineLearning.DeleteEvaluation     (     -- * Creating a Request@@ -82,6 +80,8 @@                  DeleteEvaluationResponse' <$>                    (x .?> "EvaluationId") <*> (pure (fromEnum s))) +instance Hashable DeleteEvaluation+ instance ToHeaders DeleteEvaluation where         toHeaders           = const@@ -103,10 +103,10 @@ instance ToQuery DeleteEvaluation where         toQuery = const mempty --- | Represents the output of a DeleteEvaluation operation. The output+-- | Represents the output of a < DeleteEvaluation> operation. The output -- indicates that Amazon Machine Learning (Amazon ML) received the request. ----- You can use the GetEvaluation operation and check the value of the+-- You can use the < GetEvaluation> operation and check the value of the -- 'Status' parameter to see whether an 'Evaluation' is marked as -- 'DELETED'. --

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.DeleteMLModel--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -20,13 +20,11 @@ -- -- Assigns the DELETED status to an 'MLModel', rendering it unusable. ----- After using the 'DeleteMLModel' operation, you can use the GetMLModel+-- After using the 'DeleteMLModel' operation, you can use the < GetMLModel> -- operation to verify that the status of the 'MLModel' changed to DELETED. -- -- __Caution:__ The result of the 'DeleteMLModel' operation is -- irreversible.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DeleteMLModel.html AWS API Reference> for DeleteMLModel. module Network.AWS.MachineLearning.DeleteMLModel     (     -- * Creating a Request@@ -81,6 +79,8 @@                  DeleteMLModelResponse' <$>                    (x .?> "MLModelId") <*> (pure (fromEnum s))) +instance Hashable DeleteMLModel+ instance ToHeaders DeleteMLModel where         toHeaders           = const@@ -101,10 +101,10 @@ instance ToQuery DeleteMLModel where         toQuery = const mempty --- | Represents the output of a DeleteMLModel operation.+-- | Represents the output of a < DeleteMLModel> operation. ----- You can use the GetMLModel operation and check the value of the 'Status'--- parameter to see whether an 'MLModel' is marked as 'DELETED'.+-- You can use the < GetMLModel> operation and check the value of the+-- 'Status' parameter to see whether an 'MLModel' is marked as 'DELETED'. -- -- /See:/ 'deleteMLModelResponse' smart constructor. data DeleteMLModelResponse = DeleteMLModelResponse'

@@ -12,15 +12,13 @@  -- | -- Module      : Network.AWS.MachineLearning.DeleteRealtimeEndpoint--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated -- Portability : non-portable (GHC extensions) -- -- Deletes a real time endpoint of an 'MLModel'.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DeleteRealtimeEndpoint.html AWS API Reference> for DeleteRealtimeEndpoint. module Network.AWS.MachineLearning.DeleteRealtimeEndpoint     (     -- * Creating a Request@@ -79,6 +77,8 @@                      (x .?> "MLModelId")                      <*> (pure (fromEnum s))) +instance Hashable DeleteRealtimeEndpoint+ instance ToHeaders DeleteRealtimeEndpoint where         toHeaders           = const@@ -100,7 +100,7 @@ instance ToQuery DeleteRealtimeEndpoint where         toQuery = const mempty --- | Represents the output of an DeleteRealtimeEndpoint operation.+-- | Represents the output of an < DeleteRealtimeEndpoint> operation. -- -- The result contains the 'MLModelId' and the endpoint information for the -- 'MLModel'.

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.DescribeBatchPredictions--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -21,8 +21,6 @@ -- Returns a list of 'BatchPrediction' operations that match the search -- criteria in the request. ----- /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DescribeBatchPredictions.html AWS API Reference> for DescribeBatchPredictions.--- -- This operation returns paginated results. module Network.AWS.MachineLearning.DescribeBatchPredictions     (@@ -225,6 +223,8 @@                    (x .?> "Results" .!@ mempty) <*> (x .?> "NextToken")                      <*> (pure (fromEnum s))) +instance Hashable DescribeBatchPredictions+ instance ToHeaders DescribeBatchPredictions where         toHeaders           = const@@ -254,7 +254,7 @@ instance ToQuery DescribeBatchPredictions where         toQuery = const mempty --- | Represents the output of a DescribeBatchPredictions operation. The+-- | Represents the output of a < DescribeBatchPredictions> operation. The -- content is essentially a list of 'BatchPrediction's. -- -- /See:/ 'describeBatchPredictionsResponse' smart constructor.@@ -283,7 +283,7 @@     , _drsResponseStatus = pResponseStatus_     } --- | A list of BatchPrediction objects that meet the search criteria.+-- | A list of < BatchPrediction> objects that meet the search criteria. drsResults :: Lens' DescribeBatchPredictionsResponse [BatchPrediction] drsResults = lens _drsResults (\ s a -> s{_drsResults = a}) . _Default . _Coerce; 

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.DescribeDataSources--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -21,8 +21,6 @@ -- Returns a list of 'DataSource' that match the search criteria in the -- request. ----- /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DescribeDataSources.html AWS API Reference> for DescribeDataSources.--- -- This operation returns paginated results. module Network.AWS.MachineLearning.DescribeDataSources     (@@ -219,6 +217,8 @@                    (x .?> "Results" .!@ mempty) <*> (x .?> "NextToken")                      <*> (pure (fromEnum s))) +instance Hashable DescribeDataSources+ instance ToHeaders DescribeDataSources where         toHeaders           = const@@ -248,8 +248,8 @@ instance ToQuery DescribeDataSources where         toQuery = const mempty --- | Represents the query results from a DescribeDataSources operation. The--- content is essentially a list of 'DataSource'.+-- | Represents the query results from a < DescribeDataSources> operation.+-- The content is essentially a list of 'DataSource'. -- -- /See:/ 'describeDataSourcesResponse' smart constructor. data DescribeDataSourcesResponse = DescribeDataSourcesResponse'

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.DescribeEvaluations--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -21,8 +21,6 @@ -- Returns a list of 'DescribeEvaluations' that match the search criteria -- in the request. ----- /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DescribeEvaluations.html AWS API Reference> for DescribeEvaluations.--- -- This operation returns paginated results. module Network.AWS.MachineLearning.DescribeEvaluations     (@@ -224,6 +222,8 @@                    (x .?> "Results" .!@ mempty) <*> (x .?> "NextToken")                      <*> (pure (fromEnum s))) +instance Hashable DescribeEvaluations+ instance ToHeaders DescribeEvaluations where         toHeaders           = const@@ -253,8 +253,8 @@ instance ToQuery DescribeEvaluations where         toQuery = const mempty --- | Represents the query results from a DescribeEvaluations operation. The--- content is essentially a list of 'Evaluation'.+-- | Represents the query results from a < DescribeEvaluations> operation.+-- The content is essentially a list of 'Evaluation'. -- -- /See:/ 'describeEvaluationsResponse' smart constructor. data DescribeEvaluationsResponse = DescribeEvaluationsResponse'@@ -282,7 +282,7 @@     , _desrsResponseStatus = pResponseStatus_     } --- | A list of Evaluation that meet the search criteria.+-- | A list of < Evaluation> that meet the search criteria. desrsResults :: Lens' DescribeEvaluationsResponse [Evaluation] desrsResults = lens _desrsResults (\ s a -> s{_desrsResults = a}) . _Default . _Coerce; 

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.DescribeMLModels--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -21,8 +21,6 @@ -- Returns a list of 'MLModel' that match the search criteria in the -- request. ----- /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DescribeMLModels.html AWS API Reference> for DescribeMLModels.--- -- This operation returns paginated results. module Network.AWS.MachineLearning.DescribeMLModels     (@@ -224,6 +222,8 @@                    (x .?> "Results" .!@ mempty) <*> (x .?> "NextToken")                      <*> (pure (fromEnum s))) +instance Hashable DescribeMLModels+ instance ToHeaders DescribeMLModels where         toHeaders           = const@@ -252,7 +252,7 @@ instance ToQuery DescribeMLModels where         toQuery = const mempty --- | Represents the output of a DescribeMLModels operation. The content is+-- | Represents the output of a < DescribeMLModels> operation. The content is -- essentially a list of 'MLModel'. -- -- /See:/ 'describeMLModelsResponse' smart constructor.@@ -281,7 +281,7 @@     , _dmlmsrsResponseStatus = pResponseStatus_     } --- | A list of MLModel that meet the search criteria.+-- | A list of < MLModel> that meet the search criteria. dmlmsrsResults :: Lens' DescribeMLModelsResponse [MLModel] dmlmsrsResults = lens _dmlmsrsResults (\ s a -> s{_dmlmsrsResults = a}) . _Default . _Coerce; 

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.GetBatchPrediction--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -20,8 +20,6 @@ -- -- Returns a 'BatchPrediction' that includes detailed metadata, status, and -- data file information for a 'Batch Prediction' request.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_GetBatchPrediction.html AWS API Reference> for GetBatchPrediction. module Network.AWS.MachineLearning.GetBatchPrediction     (     -- * Creating a Request@@ -99,6 +97,8 @@                      <*> (x .?> "OutputUri")                      <*> (pure (fromEnum s))) +instance Hashable GetBatchPrediction+ instance ToHeaders GetBatchPrediction where         toHeaders           = const@@ -122,8 +122,8 @@ instance ToQuery GetBatchPrediction where         toQuery = const mempty --- | Represents the output of a GetBatchPrediction operation and describes a--- 'BatchPrediction'.+-- | Represents the output of a < GetBatchPrediction> operation and describes+-- a 'BatchPrediction'. -- -- /See:/ 'getBatchPredictionResponse' smart constructor. data GetBatchPredictionResponse = GetBatchPredictionResponse'@@ -245,7 +245,7 @@ gbprsName :: Lens' GetBatchPredictionResponse (Maybe Text) gbprsName = lens _gbprsName (\ s a -> s{_gbprsName = a}); --- | A link to the file that contains logs of the CreateBatchPrediction+-- | A link to the file that contains logs of the < CreateBatchPrediction> -- operation. gbprsLogURI :: Lens' GetBatchPredictionResponse (Maybe Text) gbprsLogURI = lens _gbprsLogURI (\ s a -> s{_gbprsLogURI = a});

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.GetDataSource--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -24,8 +24,6 @@ -- 'GetDataSource' provides results in normal or verbose format. The -- verbose format adds the schema description and the list of files pointed -- to by the DataSource to the normal format.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_GetDataSource.html AWS API Reference> for GetDataSource. module Network.AWS.MachineLearning.GetDataSource     (     -- * Creating a Request@@ -126,6 +124,8 @@                      <*> (x .?> "RoleARN")                      <*> (pure (fromEnum s))) +instance Hashable GetDataSource+ instance ToHeaders GetDataSource where         toHeaders           = const@@ -148,7 +148,7 @@ instance ToQuery GetDataSource where         toQuery = const mempty --- | Represents the output of a GetDataSource operation and describes a+-- | Represents the output of a < GetDataSource> operation and describes a -- 'DataSource'. -- -- /See:/ 'getDataSourceResponse' smart constructor.

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.GetEvaluation--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -20,8 +20,6 @@ -- -- Returns an 'Evaluation' that includes metadata as well as the current -- status of the 'Evaluation'.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_GetEvaluation.html AWS API Reference> for GetEvaluation. module Network.AWS.MachineLearning.GetEvaluation     (     -- * Creating a Request@@ -100,6 +98,8 @@                      <*> (x .?> "EvaluationDataSourceId")                      <*> (pure (fromEnum s))) +instance Hashable GetEvaluation+ instance ToHeaders GetEvaluation where         toHeaders           = const@@ -121,7 +121,7 @@ instance ToQuery GetEvaluation where         toQuery = const mempty --- | Represents the output of a GetEvaluation operation and describes an+-- | Represents the output of a < GetEvaluation> operation and describes an -- 'Evaluation'. -- -- /See:/ 'getEvaluationResponse' smart constructor.@@ -252,7 +252,8 @@ gersName :: Lens' GetEvaluationResponse (Maybe Text) gersName = lens _gersName (\ s a -> s{_gersName = a}); --- | A link to the file that contains logs of the CreateEvaluation operation.+-- | A link to the file that contains logs of the < CreateEvaluation>+-- operation. gersLogURI :: Lens' GetEvaluationResponse (Maybe Text) gersLogURI = lens _gersLogURI (\ s a -> s{_gersLogURI = a}); 

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.GetMLModel--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -22,8 +22,6 @@ -- information as well as the current status of the 'MLModel'. -- -- 'GetMLModel' provides results in normal or verbose format.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_GetMLModel.html AWS API Reference> for GetMLModel. module Network.AWS.MachineLearning.GetMLModel     (     -- * Creating a Request@@ -125,6 +123,8 @@                      <*> (x .?> "MLModelType")                      <*> (pure (fromEnum s))) +instance Hashable GetMLModel+ instance ToHeaders GetMLModel where         toHeaders           = const@@ -147,8 +147,8 @@ instance ToQuery GetMLModel where         toQuery = const mempty --- | Represents the output of a GetMLModel operation, and provides detailed--- information about a 'MLModel'.+-- | Represents the output of a < GetMLModel> operation, and provides+-- detailed information about a 'MLModel'. -- -- /See:/ 'getMLModelResponse' smart constructor. data GetMLModelResponse = GetMLModelResponse'

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.Predict--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -25,8 +25,6 @@ -- -- Not all response parameters will be populated. Whether a response -- parameter is populated depends on the type of model requested.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_Predict.html AWS API Reference> for Predict. module Network.AWS.MachineLearning.Predict     (     -- * Creating a Request@@ -99,6 +97,8 @@               (\ s h x ->                  PredictResponse' <$>                    (x .?> "Prediction") <*> (pure (fromEnum s)))++instance Hashable Predict  instance ToHeaders Predict where         toHeaders

@@ -4,7 +4,7 @@  -- | -- Module      : Network.AWS.MachineLearning.Types--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -248,6 +248,7 @@         , _retryCheck = check         }     check e+      | has (hasStatus 429) e = Just "too_many_requests"       | has (hasCode "ThrottlingException" . hasStatus 400) e =           Just "throttling_exception"       | has (hasCode "Throttling" . hasStatus 400) e = Just "throttling"

@@ -9,7 +9,7 @@  -- | -- Module      : Network.AWS.MachineLearning.Types.Product--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -21,7 +21,7 @@ import           Network.AWS.MachineLearning.Types.Sum import           Network.AWS.Prelude --- | Represents the output of GetBatchPrediction operation.+-- | Represents the output of < GetBatchPrediction> operation. -- -- The content consists of the detailed metadata, the status, and the data -- file information of a /Batch Prediction/.@@ -165,7 +165,9 @@                      <*> (x .:? "Message")                      <*> (x .:? "OutputUri")) --- | Represents the output of the GetDataSource operation.+instance Hashable BatchPrediction++-- | Represents the output of the < GetDataSource> operation. -- -- The content consists of the detailed metadata and data file information -- and the current status of the 'DataSource'.@@ -341,7 +343,9 @@                      <*> (x .:? "DataRearrangement")                      <*> (x .:? "RoleARN")) --- | Represents the output of GetEvaluation operation.+instance Hashable DataSource++-- | Represents the output of < GetEvaluation> operation. -- -- The content consists of the detailed metadata and data file information -- and the current status of the 'Evaluation'.@@ -493,7 +497,9 @@                      <*> (x .:? "Message")                      <*> (x .:? "EvaluationDataSourceId")) --- | Represents the output of a GetMLModel operation.+instance Hashable Evaluation++-- | Represents the output of a < GetMLModel> operation. -- -- The content consists of the detailed metadata and the current status of -- the 'MLModel'.@@ -681,7 +687,7 @@ mlmEndpointInfo :: Lens' MLModel (Maybe RealtimeEndpointInfo) mlmEndpointInfo = lens _mlmEndpointInfo (\ s a -> s{_mlmEndpointInfo = a}); --- | The ID of the training 'DataSource'. The CreateMLModel operation uses+-- | The ID of the training 'DataSource'. The < CreateMLModel> operation uses -- the 'TrainingDataSourceId'. mlmTrainingDataSourceId :: Lens' MLModel (Maybe Text) mlmTrainingDataSourceId = lens _mlmTrainingDataSourceId (\ s a -> s{_mlmTrainingDataSourceId = a});@@ -723,6 +729,8 @@                      <*> (x .:? "Message")                      <*> (x .:? "MLModelType")) +instance Hashable MLModel+ -- | Measurements of how well the 'MLModel' performed on known observations. -- One of the following metrics is returned, based on the type of the -- 'MLModel':@@ -769,6 +777,8 @@                  PerformanceMetrics' <$>                    (x .:? "Properties" .!= mempty)) +instance Hashable PerformanceMetrics+ -- | The output from a 'Predict' operation: -- -- -   'Details' - Contains the following attributes:@@ -838,6 +848,8 @@                      <*> (x .:? "predictedScores" .!= mempty)                      <*> (x .:? "details" .!= mempty)) +instance Hashable Prediction+ -- | The data specification of an Amazon Relational Database Service (Amazon -- RDS) 'DataSource'. --@@ -1002,6 +1014,8 @@ rdsdsSecurityGroupIds :: Lens' RDSDataSpec [Text] rdsdsSecurityGroupIds = lens _rdsdsSecurityGroupIds (\ s a -> s{_rdsdsSecurityGroupIds = a}) . _Coerce; +instance Hashable RDSDataSpec+ instance ToJSON RDSDataSpec where         toJSON RDSDataSpec'{..}           = object@@ -1062,6 +1076,8 @@                    (x .: "InstanceIdentifier") <*>                      (x .: "DatabaseName")) +instance Hashable RDSDatabase+ instance ToJSON RDSDatabase where         toJSON RDSDatabase'{..}           = object@@ -1103,6 +1119,8 @@ rdsdcPassword :: Lens' RDSDatabaseCredentials Text rdsdcPassword = lens _rdsdcPassword (\ s a -> s{_rdsdcPassword = a}); +instance Hashable RDSDatabaseCredentials+ instance ToJSON RDSDatabaseCredentials where         toJSON RDSDatabaseCredentials'{..}           = object@@ -1149,8 +1167,8 @@     , _rmServiceRole = Nothing     } --- | The SQL query that is supplied during CreateDataSourceFromRDS. Returns--- only if 'Verbose' is true in 'GetDataSourceInput'.+-- | The SQL query that is supplied during < CreateDataSourceFromRDS>.+-- Returns only if 'Verbose' is true in 'GetDataSourceInput'. rmSelectSqlQuery :: Lens' RDSMetadata (Maybe Text) rmSelectSqlQuery = lens _rmSelectSqlQuery (\ s a -> s{_rmSelectSqlQuery = a}); @@ -1195,6 +1213,8 @@                      <*> (x .:? "ResourceRole")                      <*> (x .:? "ServiceRole")) +instance Hashable RDSMetadata+ -- | Describes the real-time endpoint information for an 'MLModel'. -- -- /See:/ 'realtimeEndpointInfo' smart constructor.@@ -1264,6 +1284,8 @@                      (x .:? "EndpointStatus")                      <*> (x .:? "PeakRequestsPerSecond")) +instance Hashable RealtimeEndpointInfo+ -- | Describes the data specification of an Amazon Redshift 'DataSource'. -- -- /See:/ 'redshiftDataSpec' smart constructor.@@ -1375,6 +1397,8 @@ rS3StagingLocation :: Lens' RedshiftDataSpec Text rS3StagingLocation = lens _rS3StagingLocation (\ s a -> s{_rS3StagingLocation = a}); +instance Hashable RedshiftDataSpec+ instance ToJSON RedshiftDataSpec where         toJSON RedshiftDataSpec'{..}           = object@@ -1430,6 +1454,8 @@                  RedshiftDatabase' <$>                    (x .: "DatabaseName") <*> (x .: "ClusterIdentifier")) +instance Hashable RedshiftDatabase+ instance ToJSON RedshiftDatabase where         toJSON RedshiftDatabase'{..}           = object@@ -1471,6 +1497,8 @@ rdcPassword :: Lens' RedshiftDatabaseCredentials Text rdcPassword = lens _rdcPassword (\ s a -> s{_rdcPassword = a}); +instance Hashable RedshiftDatabaseCredentials+ instance ToJSON RedshiftDatabaseCredentials where         toJSON RedshiftDatabaseCredentials'{..}           = object@@ -1505,7 +1533,7 @@     , _redDatabaseUserName = Nothing     } --- | The SQL query that is specified during CreateDataSourceFromRedshift.+-- | The SQL query that is specified during < CreateDataSourceFromRedshift>. -- Returns only if 'Verbose' is true in GetDataSourceInput. redSelectSqlQuery :: Lens' RedshiftMetadata (Maybe Text) redSelectSqlQuery = lens _redSelectSqlQuery (\ s a -> s{_redSelectSqlQuery = a});@@ -1527,6 +1555,8 @@                      (x .:? "RedshiftDatabase")                      <*> (x .:? "DatabaseUserName")) +instance Hashable RedshiftMetadata+ -- | Describes the data specification of a 'DataSource'. -- -- /See:/ 's3DataSpec' smart constructor.@@ -1606,6 +1636,8 @@ -- directory or bucket containing data files. sdsDataLocationS3 :: Lens' S3DataSpec Text sdsDataLocationS3 = lens _sdsDataLocationS3 (\ s a -> s{_sdsDataLocationS3 = a});++instance Hashable S3DataSpec  instance ToJSON S3DataSpec where         toJSON S3DataSpec'{..}

@@ -9,7 +9,7 @@  -- | -- Module      : Network.AWS.MachineLearning.Types.Sum--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.UpdateBatchPrediction--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -20,10 +20,8 @@ -- -- Updates the 'BatchPredictionName' of a 'BatchPrediction'. ----- You can use the GetBatchPrediction operation to view the contents of the--- updated data element.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_UpdateBatchPrediction.html AWS API Reference> for UpdateBatchPrediction.+-- You can use the < GetBatchPrediction> operation to view the contents of+-- the updated data element. module Network.AWS.MachineLearning.UpdateBatchPrediction     (     -- * Creating a Request@@ -89,6 +87,8 @@                  UpdateBatchPredictionResponse' <$>                    (x .?> "BatchPredictionId") <*> (pure (fromEnum s))) +instance Hashable UpdateBatchPrediction+ instance ToHeaders UpdateBatchPrediction where         toHeaders           = const@@ -113,9 +113,9 @@ instance ToQuery UpdateBatchPrediction where         toQuery = const mempty --- | Represents the output of an UpdateBatchPrediction operation.+-- | Represents the output of an < UpdateBatchPrediction> operation. ----- You can see the updated content by using the GetBatchPrediction+-- You can see the updated content by using the < GetBatchPrediction> -- operation. -- -- /See:/ 'updateBatchPredictionResponse' smart constructor.

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.UpdateDataSource--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -20,10 +20,8 @@ -- -- Updates the 'DataSourceName' of a 'DataSource'. ----- You can use the GetDataSource operation to view the contents of the+-- You can use the < GetDataSource> operation to view the contents of the -- updated data element.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_UpdateDataSource.html AWS API Reference> for UpdateDataSource. module Network.AWS.MachineLearning.UpdateDataSource     (     -- * Creating a Request@@ -89,6 +87,8 @@                  UpdateDataSourceResponse' <$>                    (x .?> "DataSourceId") <*> (pure (fromEnum s))) +instance Hashable UpdateDataSource+ instance ToHeaders UpdateDataSource where         toHeaders           = const@@ -111,9 +111,9 @@ instance ToQuery UpdateDataSource where         toQuery = const mempty --- | Represents the output of an UpdateDataSource operation.+-- | Represents the output of an < UpdateDataSource> operation. ----- You can see the updated content by using the GetBatchPrediction+-- You can see the updated content by using the < GetBatchPrediction> -- operation. -- -- /See:/ 'updateDataSourceResponse' smart constructor.

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.UpdateEvaluation--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -20,10 +20,8 @@ -- -- Updates the 'EvaluationName' of an 'Evaluation'. ----- You can use the GetEvaluation operation to view the contents of the+-- You can use the < GetEvaluation> operation to view the contents of the -- updated data element.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_UpdateEvaluation.html AWS API Reference> for UpdateEvaluation. module Network.AWS.MachineLearning.UpdateEvaluation     (     -- * Creating a Request@@ -89,6 +87,8 @@                  UpdateEvaluationResponse' <$>                    (x .?> "EvaluationId") <*> (pure (fromEnum s))) +instance Hashable UpdateEvaluation+ instance ToHeaders UpdateEvaluation where         toHeaders           = const@@ -111,9 +111,9 @@ instance ToQuery UpdateEvaluation where         toQuery = const mempty --- | Represents the output of an UpdateEvaluation operation.+-- | Represents the output of an < UpdateEvaluation> operation. ----- You can see the updated content by using the GetEvaluation operation.+-- You can see the updated content by using the < GetEvaluation> operation. -- -- /See:/ 'updateEvaluationResponse' smart constructor. data UpdateEvaluationResponse = UpdateEvaluationResponse'

@@ -12,7 +12,7 @@  -- | -- Module      : Network.AWS.MachineLearning.UpdateMLModel--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated@@ -20,10 +20,8 @@ -- -- Updates the 'MLModelName' and the 'ScoreThreshold' of an 'MLModel'. ----- You can use the GetMLModel operation to view the contents of the updated--- data element.------ /See:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_UpdateMLModel.html AWS API Reference> for UpdateMLModel.+-- You can use the < GetMLModel> operation to view the contents of the+-- updated data element. module Network.AWS.MachineLearning.UpdateMLModel     (     -- * Creating a Request@@ -102,6 +100,8 @@                  UpdateMLModelResponse' <$>                    (x .?> "MLModelId") <*> (pure (fromEnum s))) +instance Hashable UpdateMLModel+ instance ToHeaders UpdateMLModel where         toHeaders           = const@@ -125,9 +125,9 @@ instance ToQuery UpdateMLModel where         toQuery = const mempty --- | Represents the output of an UpdateMLModel operation.+-- | Represents the output of an < UpdateMLModel> operation. ----- You can see the updated content by using the GetMLModel operation.+-- You can see the updated content by using the < GetMLModel> operation. -- -- /See:/ 'updateMLModelResponse' smart constructor. data UpdateMLModelResponse = UpdateMLModelResponse'

@@ -7,7 +7,7 @@  -- | -- Module      : Network.AWS.MachineLearning.Waiters--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated

@@ -2,7 +2,7 @@  -- | -- Module      : Main--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated

@@ -5,7 +5,7 @@  -- | -- Module      : Test.AWS.Gen.MachineLearning--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : Mozilla Public License, v. 2.0. -- Maintainer  : Brendan Hay <brendan.g.hay@gmail.com> -- Stability   : auto-generated

@@ -1,7 +1,7 @@ {-# LANGUAGE OverloadedStrings #-}  -- Module      : Test.AWS.MachineLearning--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : This Source Code Form is subject to the terms of --               the Mozilla Public License, v. 2.0. --               A copy of the MPL can be found in the LICENSE file or

@@ -2,7 +2,7 @@ {-# OPTIONS_GHC -fno-warn-unused-imports #-}  -- Module      : Test.AWS.MachineLearning.Internal--- Copyright   : (c) 2013-2015 Brendan Hay+-- Copyright   : (c) 2013-2016 Brendan Hay -- License     : This Source Code Form is subject to the terms of --               the Mozilla Public License, v. 2.0. --               A copy of the MPL can be found in the LICENSE file or