{-# OPTIONS_GHC -fno-warn-unused-imports #-} {-# OPTIONS_GHC -fno-warn-duplicate-exports #-} -- Derived from AWS service descriptions, licensed under Apache 2.0. -- | -- Module : Network.AWS.MachineLearning -- Copyright : (c) 2013-2015 Brendan Hay -- License : Mozilla Public License, v. 2.0. -- Maintainer : Brendan Hay -- Stability : auto-generated -- Portability : non-portable (GHC extensions) -- -- Definition of the public APIs exposed by Amazon Machine Learning -- -- /See:/ module Network.AWS.MachineLearning ( -- * Service Configuration machineLearning -- * Errors -- $errors -- ** InternalServerException , _InternalServerException -- ** InvalidInputException , _InvalidInputException -- ** IdempotentParameterMismatchException , _IdempotentParameterMismatchException -- ** PredictorNotMountedException , _PredictorNotMountedException -- ** ResourceNotFoundException , _ResourceNotFoundException -- ** LimitExceededException , _LimitExceededException -- * Waiters -- $waiters -- ** MLModelAvailable , mLModelAvailable -- ** BatchPredictionAvailable , batchPredictionAvailable -- ** DataSourceAvailable , dataSourceAvailable -- ** EvaluationAvailable , evaluationAvailable -- * Operations -- $operations -- ** UpdateDataSource , module Network.AWS.MachineLearning.UpdateDataSource -- ** DeleteDataSource , module Network.AWS.MachineLearning.DeleteDataSource -- ** CreateDataSourceFromRedshift , module Network.AWS.MachineLearning.CreateDataSourceFromRedshift -- ** CreateDataSourceFromS3 , module Network.AWS.MachineLearning.CreateDataSourceFromS3 -- ** CreateMLModel , module Network.AWS.MachineLearning.CreateMLModel -- ** DeleteBatchPrediction , module Network.AWS.MachineLearning.DeleteBatchPrediction -- ** UpdateBatchPrediction , module Network.AWS.MachineLearning.UpdateBatchPrediction -- ** GetMLModel , module Network.AWS.MachineLearning.GetMLModel -- ** GetDataSource , module Network.AWS.MachineLearning.GetDataSource -- ** UpdateEvaluation , module Network.AWS.MachineLearning.UpdateEvaluation -- ** DeleteEvaluation , module Network.AWS.MachineLearning.DeleteEvaluation -- ** DeleteMLModel , module Network.AWS.MachineLearning.DeleteMLModel -- ** UpdateMLModel , module Network.AWS.MachineLearning.UpdateMLModel -- ** GetBatchPrediction , module Network.AWS.MachineLearning.GetBatchPrediction -- ** DescribeBatchPredictions (Paginated) , module Network.AWS.MachineLearning.DescribeBatchPredictions -- ** CreateDataSourceFromRDS , module Network.AWS.MachineLearning.CreateDataSourceFromRDS -- ** CreateEvaluation , module Network.AWS.MachineLearning.CreateEvaluation -- ** Predict , module Network.AWS.MachineLearning.Predict -- ** DeleteRealtimeEndpoint , module Network.AWS.MachineLearning.DeleteRealtimeEndpoint -- ** CreateBatchPrediction , module Network.AWS.MachineLearning.CreateBatchPrediction -- ** GetEvaluation , module Network.AWS.MachineLearning.GetEvaluation -- ** DescribeEvaluations (Paginated) , module Network.AWS.MachineLearning.DescribeEvaluations -- ** CreateRealtimeEndpoint , module Network.AWS.MachineLearning.CreateRealtimeEndpoint -- ** DescribeMLModels (Paginated) , module Network.AWS.MachineLearning.DescribeMLModels -- ** DescribeDataSources (Paginated) , module Network.AWS.MachineLearning.DescribeDataSources -- * Types -- ** Algorithm , Algorithm (..) -- ** BatchPredictionFilterVariable , BatchPredictionFilterVariable (..) -- ** DataSourceFilterVariable , DataSourceFilterVariable (..) -- ** DetailsAttributes , DetailsAttributes (..) -- ** EntityStatus , EntityStatus (..) -- ** EvaluationFilterVariable , EvaluationFilterVariable (..) -- ** MLModelFilterVariable , MLModelFilterVariable (..) -- ** MLModelType , MLModelType (..) -- ** RealtimeEndpointStatus , RealtimeEndpointStatus (..) -- ** SortOrder , SortOrder (..) -- ** BatchPrediction , BatchPrediction , batchPrediction , bpStatus , bpLastUpdatedAt , bpCreatedAt , bpInputDataLocationS3 , bpMLModelId , bpBatchPredictionDataSourceId , bpBatchPredictionId , bpCreatedByIAMUser , bpName , bpMessage , bpOutputURI -- ** DataSource , DataSource , dataSource , dsStatus , dsNumberOfFiles , dsLastUpdatedAt , dsCreatedAt , dsDataSourceId , dsRDSMetadata , dsDataSizeInBytes , dsCreatedByIAMUser , dsName , dsDataLocationS3 , dsComputeStatistics , dsMessage , dsRedshiftMetadata , dsDataRearrangement , dsRoleARN -- ** Evaluation , Evaluation , evaluation , eStatus , ePerformanceMetrics , eLastUpdatedAt , eCreatedAt , eInputDataLocationS3 , eMLModelId , eCreatedByIAMUser , eName , eEvaluationId , eMessage , eEvaluationDataSourceId -- ** MLModel , MLModel , mLModel , mlmStatus , mlmLastUpdatedAt , mlmTrainingParameters , mlmScoreThresholdLastUpdatedAt , mlmCreatedAt , mlmInputDataLocationS3 , mlmMLModelId , mlmSizeInBytes , mlmScoreThreshold , mlmAlgorithm , mlmCreatedByIAMUser , mlmName , mlmEndpointInfo , mlmTrainingDataSourceId , mlmMessage , mlmMLModelType -- ** PerformanceMetrics , PerformanceMetrics , performanceMetrics , pmProperties -- ** Prediction , Prediction , prediction , pPredictedValue , pPredictedLabel , pPredictedScores , pDetails -- ** RDSDataSpec , RDSDataSpec , rdsDataSpec , rdsdsDataSchemaURI , rdsdsDataSchema , rdsdsDataRearrangement , rdsdsDatabaseInformation , rdsdsSelectSqlQuery , rdsdsDatabaseCredentials , rdsdsS3StagingLocation , rdsdsResourceRole , rdsdsServiceRole , rdsdsSubnetId , rdsdsSecurityGroupIds -- ** RDSDatabase , RDSDatabase , rdsDatabase , rdsdInstanceIdentifier , rdsdDatabaseName -- ** RDSDatabaseCredentials , RDSDatabaseCredentials , rdsDatabaseCredentials , rdsdcUsername , rdsdcPassword -- ** RDSMetadata , RDSMetadata , rdsMetadata , rmSelectSqlQuery , rmDataPipelineId , rmDatabase , rmDatabaseUserName , rmResourceRole , rmServiceRole -- ** RealtimeEndpointInfo , RealtimeEndpointInfo , realtimeEndpointInfo , reiCreatedAt , reiEndpointURL , reiEndpointStatus , reiPeakRequestsPerSecond -- ** RedshiftDataSpec , RedshiftDataSpec , redshiftDataSpec , rDataSchemaURI , rDataSchema , rDataRearrangement , rDatabaseInformation , rSelectSqlQuery , rDatabaseCredentials , rS3StagingLocation -- ** RedshiftDatabase , RedshiftDatabase , redshiftDatabase , rdDatabaseName , rdClusterIdentifier -- ** RedshiftDatabaseCredentials , RedshiftDatabaseCredentials , redshiftDatabaseCredentials , rdcUsername , rdcPassword -- ** RedshiftMetadata , RedshiftMetadata , redshiftMetadata , redSelectSqlQuery , redRedshiftDatabase , redDatabaseUserName -- ** S3DataSpec , S3DataSpec , s3DataSpec , sdsDataSchema , sdsDataSchemaLocationS3 , sdsDataRearrangement , sdsDataLocationS3 ) where import Network.AWS.MachineLearning.CreateBatchPrediction import Network.AWS.MachineLearning.CreateDataSourceFromRDS import Network.AWS.MachineLearning.CreateDataSourceFromRedshift import Network.AWS.MachineLearning.CreateDataSourceFromS3 import Network.AWS.MachineLearning.CreateEvaluation import Network.AWS.MachineLearning.CreateMLModel import Network.AWS.MachineLearning.CreateRealtimeEndpoint import Network.AWS.MachineLearning.DeleteBatchPrediction import Network.AWS.MachineLearning.DeleteDataSource import Network.AWS.MachineLearning.DeleteEvaluation import Network.AWS.MachineLearning.DeleteMLModel import Network.AWS.MachineLearning.DeleteRealtimeEndpoint import Network.AWS.MachineLearning.DescribeBatchPredictions import Network.AWS.MachineLearning.DescribeDataSources import Network.AWS.MachineLearning.DescribeEvaluations import Network.AWS.MachineLearning.DescribeMLModels import Network.AWS.MachineLearning.GetBatchPrediction import Network.AWS.MachineLearning.GetDataSource import Network.AWS.MachineLearning.GetEvaluation import Network.AWS.MachineLearning.GetMLModel import Network.AWS.MachineLearning.Predict import Network.AWS.MachineLearning.Types import Network.AWS.MachineLearning.UpdateBatchPrediction import Network.AWS.MachineLearning.UpdateDataSource import Network.AWS.MachineLearning.UpdateEvaluation import Network.AWS.MachineLearning.UpdateMLModel import Network.AWS.MachineLearning.Waiters {- $errors Error matchers are designed for use with the functions provided by . This allows catching (and rethrowing) service specific errors returned by 'MachineLearning'. -} {- $operations Some AWS operations return results that are incomplete and require subsequent requests in order to obtain the entire result set. The process of sending subsequent requests to continue where a previous request left off is called pagination. For example, the 'ListObjects' operation of Amazon S3 returns up to 1000 objects at a time, and you must send subsequent requests with the appropriate Marker in order to retrieve the next page of results. Operations that have an 'AWSPager' instance can transparently perform subsequent requests, correctly setting Markers and other request facets to iterate through the entire result set of a truncated API operation. Operations which support this have an additional note in the documentation. Many operations have the ability to filter results on the server side. See the individual operation parameters for details. -} {- $waiters Waiters poll by repeatedly sending a request until some remote success condition configured by the 'Wait' specification is fulfilled. The 'Wait' specification determines how many attempts should be made, in addition to delay and retry strategies. -}