amazonka-ml 1.3.1 → 1.3.2
raw patch · 11 files changed
+118/−29 lines, 11 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 +1/−1
- amazonka-ml.cabal +5/−5
- gen/Network/AWS/MachineLearning/CreateDataSourceFromRDS.hs +1/−1
- gen/Network/AWS/MachineLearning/CreateDataSourceFromRedshift.hs +1/−1
- gen/Network/AWS/MachineLearning/CreateDataSourceFromS3.hs +1/−1
- gen/Network/AWS/MachineLearning/DeleteBatchPrediction.hs +2/−3
- gen/Network/AWS/MachineLearning/DeleteDataSource.hs +2/−3
- gen/Network/AWS/MachineLearning/DeleteEvaluation.hs +2/−3
- gen/Network/AWS/MachineLearning/DeleteMLModel.hs +2/−3
- gen/Network/AWS/MachineLearning/Predict.hs +3/−3
- gen/Network/AWS/MachineLearning/Types/Product.hs +98/−5
README.md view
@@ -8,7 +8,7 @@ ## Version -`1.3.1`+`1.3.2` ## Description
amazonka-ml.cabal view
@@ -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
gen/Network/AWS/MachineLearning/CreateDataSourceFromRDS.hs view
@@ -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});
gen/Network/AWS/MachineLearning/CreateDataSourceFromRedshift.hs view
@@ -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});
gen/Network/AWS/MachineLearning/CreateDataSourceFromS3.hs view
@@ -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});
gen/Network/AWS/MachineLearning/DeleteBatchPrediction.hs view
@@ -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:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DeleteBatchPrediction.html AWS API Reference> for DeleteBatchPrediction. module Network.AWS.MachineLearning.DeleteBatchPrediction
gen/Network/AWS/MachineLearning/DeleteDataSource.hs view
@@ -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:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DeleteDataSource.html AWS API Reference> for DeleteDataSource. module Network.AWS.MachineLearning.DeleteDataSource
gen/Network/AWS/MachineLearning/DeleteEvaluation.hs view
@@ -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:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DeleteEvaluation.html AWS API Reference> for DeleteEvaluation. module Network.AWS.MachineLearning.DeleteEvaluation
gen/Network/AWS/MachineLearning/DeleteMLModel.hs view
@@ -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:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_DeleteMLModel.html AWS API Reference> for DeleteMLModel. module Network.AWS.MachineLearning.DeleteMLModel
gen/Network/AWS/MachineLearning/Predict.hs view
@@ -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:/ <http://http://docs.aws.amazon.com/machine-learning/latest/APIReference/API_Predict.html AWS API Reference> for Predict. module Network.AWS.MachineLearning.Predict
gen/Network/AWS/MachineLearning/Types/Product.hs view
@@ -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});