diff --git a/README.md b/README.md --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ ## Version -`1.3.1` +`1.3.2` ## Description diff --git a/amazonka-ml.cabal b/amazonka-ml.cabal --- a/amazonka-ml.cabal +++ b/amazonka-ml.cabal @@ -1,5 +1,5 @@ name: amazonka-ml -version: 1.3.1 +version: 1.3.2 synopsis: Amazon Machine Learning SDK. homepage: https://github.com/brendanhay/amazonka bug-reports: https://github.com/brendanhay/amazonka/issues @@ -74,7 +74,7 @@ , Network.AWS.MachineLearning.Types.Sum build-depends: - amazonka-core == 1.3.1.* + amazonka-core == 1.3.2.* , base >= 4.7 && < 5 test-suite amazonka-ml-test @@ -94,9 +94,9 @@ , Test.AWS.MachineLearning.Internal build-depends: - amazonka-core == 1.3.1.* - , amazonka-test == 1.3.1.* - , amazonka-ml == 1.3.1.* + amazonka-core == 1.3.2.* + , amazonka-test == 1.3.2.* + , amazonka-ml == 1.3.2.* , base , bytestring , lens diff --git a/gen/Network/AWS/MachineLearning/CreateDataSourceFromRDS.hs b/gen/Network/AWS/MachineLearning/CreateDataSourceFromRDS.hs --- a/gen/Network/AWS/MachineLearning/CreateDataSourceFromRDS.hs +++ b/gen/Network/AWS/MachineLearning/CreateDataSourceFromRDS.hs @@ -160,7 +160,7 @@ -- requirement of a 'Datasource'. -- -- Sample - --- ' \"{\\\"randomSeed\\\":\\\"some-random-seed\\\", \\\"splitting\\\":{\\\"percentBegin\\\":10,\\\"percentEnd\\\":60}}\"' +-- ' \"{\\\"splitting\\\":{\\\"percentBegin\\\":10,\\\"percentEnd\\\":60}}\"' -- cdsfrdsRDSData :: Lens' CreateDataSourceFromRDS RDSDataSpec cdsfrdsRDSData = lens _cdsfrdsRDSData (\ s a -> s{_cdsfrdsRDSData = a}); diff --git a/gen/Network/AWS/MachineLearning/CreateDataSourceFromRedshift.hs b/gen/Network/AWS/MachineLearning/CreateDataSourceFromRedshift.hs --- a/gen/Network/AWS/MachineLearning/CreateDataSourceFromRedshift.hs +++ b/gen/Network/AWS/MachineLearning/CreateDataSourceFromRedshift.hs @@ -160,7 +160,7 @@ -- requirement of a 'Datasource'. -- -- Sample - --- ' \"{\\\"randomSeed\\\":\\\"some-random-seed\\\", \\\"splitting\\\":{\\\"percentBegin\\\":10,\\\"percentEnd\\\":60}}\"' +-- ' \"{\\\"splitting\\\":{\\\"percentBegin\\\":10,\\\"percentEnd\\\":60}}\"' -- cdsfrDataSpec :: Lens' CreateDataSourceFromRedshift RedshiftDataSpec cdsfrDataSpec = lens _cdsfrDataSpec (\ s a -> s{_cdsfrDataSpec = a}); diff --git a/gen/Network/AWS/MachineLearning/CreateDataSourceFromS3.hs b/gen/Network/AWS/MachineLearning/CreateDataSourceFromS3.hs --- a/gen/Network/AWS/MachineLearning/CreateDataSourceFromS3.hs +++ b/gen/Network/AWS/MachineLearning/CreateDataSourceFromS3.hs @@ -140,7 +140,7 @@ -- requirement of a 'Datasource'. -- -- Sample - --- ' \"{\\\"randomSeed\\\":\\\"some-random-seed\\\", \\\"splitting\\\":{\\\"percentBegin\\\":10,\\\"percentEnd\\\":60}}\"' +-- ' \"{\\\"splitting\\\":{\\\"percentBegin\\\":10,\\\"percentEnd\\\":60}}\"' -- cdsfsDataSpec :: Lens' CreateDataSourceFromS3 S3DataSpec cdsfsDataSpec = lens _cdsfsDataSpec (\ s a -> s{_cdsfsDataSpec = a}); diff --git a/gen/Network/AWS/MachineLearning/DeleteBatchPrediction.hs b/gen/Network/AWS/MachineLearning/DeleteBatchPrediction.hs --- a/gen/Network/AWS/MachineLearning/DeleteBatchPrediction.hs +++ b/gen/Network/AWS/MachineLearning/DeleteBatchPrediction.hs @@ -25,9 +25,8 @@ -- GetBatchPrediction operation to verify that the status of the -- 'BatchPrediction' changed to DELETED. -- --- Caution --- --- The result of the 'DeleteBatchPrediction' operation is irreversible. +-- __Caution:__ The result of the 'DeleteBatchPrediction' operation is +-- irreversible. -- -- /See:/ for DeleteBatchPrediction. module Network.AWS.MachineLearning.DeleteBatchPrediction diff --git a/gen/Network/AWS/MachineLearning/DeleteDataSource.hs b/gen/Network/AWS/MachineLearning/DeleteDataSource.hs --- a/gen/Network/AWS/MachineLearning/DeleteDataSource.hs +++ b/gen/Network/AWS/MachineLearning/DeleteDataSource.hs @@ -24,9 +24,8 @@ -- GetDataSource operation to verify that the status of the 'DataSource' -- changed to DELETED. -- --- Caution --- --- The results of the 'DeleteDataSource' operation are irreversible. +-- __Caution:__ The results of the 'DeleteDataSource' operation are +-- irreversible. -- -- /See:/ for DeleteDataSource. module Network.AWS.MachineLearning.DeleteDataSource diff --git a/gen/Network/AWS/MachineLearning/DeleteEvaluation.hs b/gen/Network/AWS/MachineLearning/DeleteEvaluation.hs --- a/gen/Network/AWS/MachineLearning/DeleteEvaluation.hs +++ b/gen/Network/AWS/MachineLearning/DeleteEvaluation.hs @@ -24,9 +24,8 @@ -- GetEvaluation operation to verify that the status of the 'Evaluation' -- changed to 'DELETED'. -- --- Caution --- --- The results of the 'DeleteEvaluation' operation are irreversible. +-- __Caution:__ The results of the 'DeleteEvaluation' operation are +-- irreversible. -- -- /See:/ for DeleteEvaluation. module Network.AWS.MachineLearning.DeleteEvaluation diff --git a/gen/Network/AWS/MachineLearning/DeleteMLModel.hs b/gen/Network/AWS/MachineLearning/DeleteMLModel.hs --- a/gen/Network/AWS/MachineLearning/DeleteMLModel.hs +++ b/gen/Network/AWS/MachineLearning/DeleteMLModel.hs @@ -23,9 +23,8 @@ -- 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. +-- __Caution:__ The result of the 'DeleteMLModel' operation is +-- irreversible. -- -- /See:/ for DeleteMLModel. module Network.AWS.MachineLearning.DeleteMLModel diff --git a/gen/Network/AWS/MachineLearning/Predict.hs b/gen/Network/AWS/MachineLearning/Predict.hs --- a/gen/Network/AWS/MachineLearning/Predict.hs +++ b/gen/Network/AWS/MachineLearning/Predict.hs @@ -19,12 +19,12 @@ -- Portability : non-portable (GHC extensions) -- -- Generates a prediction for the observation using the specified --- 'MLModel'. +-- 'ML Model'. -- -- Note -- --- Not all response parameters will be populated because this is dependent --- on the type of requested model. +-- Not all response parameters will be populated. Whether a response +-- parameter is populated depends on the type of model requested. -- -- /See:/ for Predict. module Network.AWS.MachineLearning.Predict diff --git a/gen/Network/AWS/MachineLearning/Types/Product.hs b/gen/Network/AWS/MachineLearning/Types/Product.hs --- a/gen/Network/AWS/MachineLearning/Types/Product.hs +++ b/gen/Network/AWS/MachineLearning/Types/Product.hs @@ -908,8 +908,39 @@ rdsdsDataSchemaURI :: Lens' RDSDataSpec (Maybe Text) rdsdsDataSchemaURI = lens _rdsdsDataSchemaURI (\ s a -> s{_rdsdsDataSchemaURI = a}); --- | A JSON string that represents the schema. This is not required if --- 'DataSchemaUri' is specified. +-- | A JSON string that represents the schema for an Amazon RDS 'DataSource'. +-- The 'DataSchema' defines the structure of the observation data in the +-- data file(s) referenced in the 'DataSource'. +-- +-- A 'DataSchema' is not required if you specify a 'DataSchemaUri' +-- +-- Define your 'DataSchema' as a series of key-value pairs. 'attributes' +-- and 'excludedVariableNames' have an array of key-value pairs for their +-- value. Use the following format to define your 'DataSchema'. +-- +-- { \"version\": \"1.0\", +-- +-- \"recordAnnotationFieldName\": \"F1\", +-- +-- \"recordWeightFieldName\": \"F2\", +-- +-- \"targetFieldName\": \"F3\", +-- +-- \"dataFormat\": \"CSV\", +-- +-- \"dataFileContainsHeader\": true, +-- +-- \"attributes\": [ +-- +-- { \"fieldName\": \"F1\", \"fieldType\": \"TEXT\" }, { \"fieldName\": +-- \"F2\", \"fieldType\": \"NUMERIC\" }, { \"fieldName\": \"F3\", +-- \"fieldType\": \"CATEGORICAL\" }, { \"fieldName\": \"F4\", +-- \"fieldType\": \"NUMERIC\" }, { \"fieldName\": \"F5\", \"fieldType\": +-- \"CATEGORICAL\" }, { \"fieldName\": \"F6\", \"fieldType\": \"TEXT\" }, { +-- \"fieldName\": \"F7\", \"fieldType\": \"WEIGHTED_INT_SEQUENCE\" }, { +-- \"fieldName\": \"F8\", \"fieldType\": \"WEIGHTED_STRING_SEQUENCE\" } ], +-- +-- \"excludedVariableNames\": [ \"F6\" ] } rdsdsDataSchema :: Lens' RDSDataSpec (Maybe Text) rdsdsDataSchema = lens _rdsdsDataSchema (\ s a -> s{_rdsdsDataSchema = a}); @@ -917,7 +948,7 @@ -- requirement of a 'DataSource'. -- -- Sample - --- ' \"{\\\"randomSeed\\\":\\\"some-random-seed\\\", \\\"splitting\\\":{\\\"percentBegin\\\":10,\\\"percentEnd\\\":60}}\"' +-- ' \"{\\\"splitting\\\":{\\\"percentBegin\\\":10,\\\"percentEnd\\\":60}}\"' rdsdsDataRearrangement :: Lens' RDSDataSpec (Maybe Text) rdsdsDataRearrangement = lens _rdsdsDataRearrangement (\ s a -> s{_rdsdsDataRearrangement = a}); @@ -1283,7 +1314,39 @@ rDataSchemaURI :: Lens' RedshiftDataSpec (Maybe Text) rDataSchemaURI = lens _rDataSchemaURI (\ s a -> s{_rDataSchemaURI = a}); --- | Describes the schema for an Amazon Redshift 'DataSource'. +-- | A JSON string that represents the schema for an Amazon Redshift +-- 'DataSource'. The 'DataSchema' defines the structure of the observation +-- data in the data file(s) referenced in the 'DataSource'. +-- +-- A 'DataSchema' is not required if you specify a 'DataSchemaUri'. +-- +-- Define your 'DataSchema' as a series of key-value pairs. 'attributes' +-- and 'excludedVariableNames' have an array of key-value pairs for their +-- value. Use the following format to define your 'DataSchema'. +-- +-- { \"version\": \"1.0\", +-- +-- \"recordAnnotationFieldName\": \"F1\", +-- +-- \"recordWeightFieldName\": \"F2\", +-- +-- \"targetFieldName\": \"F3\", +-- +-- \"dataFormat\": \"CSV\", +-- +-- \"dataFileContainsHeader\": true, +-- +-- \"attributes\": [ +-- +-- { \"fieldName\": \"F1\", \"fieldType\": \"TEXT\" }, { \"fieldName\": +-- \"F2\", \"fieldType\": \"NUMERIC\" }, { \"fieldName\": \"F3\", +-- \"fieldType\": \"CATEGORICAL\" }, { \"fieldName\": \"F4\", +-- \"fieldType\": \"NUMERIC\" }, { \"fieldName\": \"F5\", \"fieldType\": +-- \"CATEGORICAL\" }, { \"fieldName\": \"F6\", \"fieldType\": \"TEXT\" }, { +-- \"fieldName\": \"F7\", \"fieldType\": \"WEIGHTED_INT_SEQUENCE\" }, { +-- \"fieldName\": \"F8\", \"fieldType\": \"WEIGHTED_STRING_SEQUENCE\" } ], +-- +-- \"excludedVariableNames\": [ \"F6\" ] } rDataSchema :: Lens' RedshiftDataSpec (Maybe Text) rDataSchema = lens _rDataSchema (\ s a -> s{_rDataSchema = a}); @@ -1495,7 +1558,37 @@ , _sdsDataLocationS3 = pDataLocationS3_ } --- | Describes the schema for an Amazon S3 'DataSource'. +-- | A JSON string that represents the schema for an Amazon S3 'DataSource'. +-- The 'DataSchema' defines the structure of the observation data in the +-- data file(s) referenced in the 'DataSource'. +-- +-- Define your 'DataSchema' as a series of key-value pairs. 'attributes' +-- and 'excludedVariableNames' have an array of key-value pairs for their +-- value. Use the following format to define your 'DataSchema'. +-- +-- { \"version\": \"1.0\", +-- +-- \"recordAnnotationFieldName\": \"F1\", +-- +-- \"recordWeightFieldName\": \"F2\", +-- +-- \"targetFieldName\": \"F3\", +-- +-- \"dataFormat\": \"CSV\", +-- +-- \"dataFileContainsHeader\": true, +-- +-- \"attributes\": [ +-- +-- { \"fieldName\": \"F1\", \"fieldType\": \"TEXT\" }, { \"fieldName\": +-- \"F2\", \"fieldType\": \"NUMERIC\" }, { \"fieldName\": \"F3\", +-- \"fieldType\": \"CATEGORICAL\" }, { \"fieldName\": \"F4\", +-- \"fieldType\": \"NUMERIC\" }, { \"fieldName\": \"F5\", \"fieldType\": +-- \"CATEGORICAL\" }, { \"fieldName\": \"F6\", \"fieldType\": \"TEXT\" }, { +-- \"fieldName\": \"F7\", \"fieldType\": \"WEIGHTED_INT_SEQUENCE\" }, { +-- \"fieldName\": \"F8\", \"fieldType\": \"WEIGHTED_STRING_SEQUENCE\" } ], +-- +-- \"excludedVariableNames\": [ \"F6\" ] } sdsDataSchema :: Lens' S3DataSpec (Maybe Text) sdsDataSchema = lens _sdsDataSchema (\ s a -> s{_sdsDataSchema = a});