amazonka-ml-1.4.4: gen/Network/AWS/MachineLearning/CreateBatchPrediction.hs
{-# LANGUAGE DeriveDataTypeable #-}
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE RecordWildCards #-}
{-# LANGUAGE TypeFamilies #-}
{-# OPTIONS_GHC -fno-warn-unused-imports #-}
{-# OPTIONS_GHC -fno-warn-unused-binds #-}
{-# OPTIONS_GHC -fno-warn-unused-matches #-}
-- Derived from AWS service descriptions, licensed under Apache 2.0.
-- |
-- Module : Network.AWS.MachineLearning.CreateBatchPrediction
-- 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)
--
-- Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a 'DataSource'. This operation creates a new 'BatchPrediction', and uses an 'MLModel' and the data files referenced by the 'DataSource' as information sources.
--
-- 'CreateBatchPrediction' is an asynchronous operation. In response to 'CreateBatchPrediction', Amazon Machine Learning (Amazon ML) immediately 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> 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.
module Network.AWS.MachineLearning.CreateBatchPrediction
(
-- * Creating a Request
createBatchPrediction
, CreateBatchPrediction
-- * Request Lenses
, cbpBatchPredictionName
, cbpBatchPredictionId
, cbpMLModelId
, cbpBatchPredictionDataSourceId
, cbpOutputURI
-- * Destructuring the Response
, createBatchPredictionResponse
, CreateBatchPredictionResponse
-- * Response Lenses
, cbprsBatchPredictionId
, cbprsResponseStatus
) where
import Network.AWS.Lens
import Network.AWS.MachineLearning.Types
import Network.AWS.MachineLearning.Types.Product
import Network.AWS.Prelude
import Network.AWS.Request
import Network.AWS.Response
-- | /See:/ 'createBatchPrediction' smart constructor.
data CreateBatchPrediction = CreateBatchPrediction'
{ _cbpBatchPredictionName :: !(Maybe Text)
, _cbpBatchPredictionId :: !Text
, _cbpMLModelId :: !Text
, _cbpBatchPredictionDataSourceId :: !Text
, _cbpOutputURI :: !Text
} deriving (Eq,Read,Show,Data,Typeable,Generic)
-- | Creates a value of 'CreateBatchPrediction' with the minimum fields required to make a request.
--
-- Use one of the following lenses to modify other fields as desired:
--
-- * 'cbpBatchPredictionName'
--
-- * 'cbpBatchPredictionId'
--
-- * 'cbpMLModelId'
--
-- * 'cbpBatchPredictionDataSourceId'
--
-- * 'cbpOutputURI'
createBatchPrediction
:: Text -- ^ 'cbpBatchPredictionId'
-> Text -- ^ 'cbpMLModelId'
-> Text -- ^ 'cbpBatchPredictionDataSourceId'
-> Text -- ^ 'cbpOutputURI'
-> CreateBatchPrediction
createBatchPrediction pBatchPredictionId_ pMLModelId_ pBatchPredictionDataSourceId_ pOutputURI_ =
CreateBatchPrediction'
{ _cbpBatchPredictionName = Nothing
, _cbpBatchPredictionId = pBatchPredictionId_
, _cbpMLModelId = pMLModelId_
, _cbpBatchPredictionDataSourceId = pBatchPredictionDataSourceId_
, _cbpOutputURI = pOutputURI_
}
-- | A user-supplied name or description of the 'BatchPrediction'. 'BatchPredictionName' can only use the UTF-8 character set.
cbpBatchPredictionName :: Lens' CreateBatchPrediction (Maybe Text)
cbpBatchPredictionName = lens _cbpBatchPredictionName (\ s a -> s{_cbpBatchPredictionName = a});
-- | A user-supplied ID that uniquely identifies the 'BatchPrediction'.
cbpBatchPredictionId :: Lens' CreateBatchPrediction Text
cbpBatchPredictionId = lens _cbpBatchPredictionId (\ s a -> s{_cbpBatchPredictionId = a});
-- | The ID of the 'MLModel' that will generate predictions for the group of observations.
cbpMLModelId :: Lens' CreateBatchPrediction Text
cbpMLModelId = lens _cbpMLModelId (\ s a -> s{_cbpMLModelId = a});
-- | The ID of the 'DataSource' that points to the group of observations to predict.
cbpBatchPredictionDataSourceId :: Lens' CreateBatchPrediction Text
cbpBatchPredictionDataSourceId = lens _cbpBatchPredictionDataSourceId (\ s a -> s{_cbpBatchPredictionDataSourceId = a});
-- | The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the 's3 key' portion of the 'outputURI' field: \':\', \'\/\/\', \'\/.\/\', \'\/..\/\'.
--
-- Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the <http://docs.aws.amazon.com/machine-learning/latest/dg Amazon Machine Learning Developer Guide>.
cbpOutputURI :: Lens' CreateBatchPrediction Text
cbpOutputURI = lens _cbpOutputURI (\ s a -> s{_cbpOutputURI = a});
instance AWSRequest CreateBatchPrediction where
type Rs CreateBatchPrediction =
CreateBatchPredictionResponse
request = postJSON machineLearning
response
= receiveJSON
(\ s h x ->
CreateBatchPredictionResponse' <$>
(x .?> "BatchPredictionId") <*> (pure (fromEnum s)))
instance Hashable CreateBatchPrediction
instance NFData CreateBatchPrediction
instance ToHeaders CreateBatchPrediction where
toHeaders
= const
(mconcat
["X-Amz-Target" =#
("AmazonML_20141212.CreateBatchPrediction" ::
ByteString),
"Content-Type" =#
("application/x-amz-json-1.1" :: ByteString)])
instance ToJSON CreateBatchPrediction where
toJSON CreateBatchPrediction'{..}
= object
(catMaybes
[("BatchPredictionName" .=) <$>
_cbpBatchPredictionName,
Just ("BatchPredictionId" .= _cbpBatchPredictionId),
Just ("MLModelId" .= _cbpMLModelId),
Just
("BatchPredictionDataSourceId" .=
_cbpBatchPredictionDataSourceId),
Just ("OutputUri" .= _cbpOutputURI)])
instance ToPath CreateBatchPrediction where
toPath = const "/"
instance ToQuery CreateBatchPrediction where
toQuery = const mempty
-- | 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 'Status' parameter of the result.
--
-- /See:/ 'createBatchPredictionResponse' smart constructor.
data CreateBatchPredictionResponse = CreateBatchPredictionResponse'
{ _cbprsBatchPredictionId :: !(Maybe Text)
, _cbprsResponseStatus :: !Int
} deriving (Eq,Read,Show,Data,Typeable,Generic)
-- | Creates a value of 'CreateBatchPredictionResponse' with the minimum fields required to make a request.
--
-- Use one of the following lenses to modify other fields as desired:
--
-- * 'cbprsBatchPredictionId'
--
-- * 'cbprsResponseStatus'
createBatchPredictionResponse
:: Int -- ^ 'cbprsResponseStatus'
-> CreateBatchPredictionResponse
createBatchPredictionResponse pResponseStatus_ =
CreateBatchPredictionResponse'
{ _cbprsBatchPredictionId = Nothing
, _cbprsResponseStatus = pResponseStatus_
}
-- | A user-supplied ID that uniquely identifies the 'BatchPrediction'. This value is identical to the value of the 'BatchPredictionId' in the request.
cbprsBatchPredictionId :: Lens' CreateBatchPredictionResponse (Maybe Text)
cbprsBatchPredictionId = lens _cbprsBatchPredictionId (\ s a -> s{_cbprsBatchPredictionId = a});
-- | The response status code.
cbprsResponseStatus :: Lens' CreateBatchPredictionResponse Int
cbprsResponseStatus = lens _cbprsResponseStatus (\ s a -> s{_cbprsResponseStatus = a});
instance NFData CreateBatchPredictionResponse