{-# 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.Predict -- Copyright : (c) 2013-2015 Brendan Hay -- License : Mozilla Public License, v. 2.0. -- Maintainer : Brendan Hay -- Stability : auto-generated -- Portability : non-portable (GHC extensions) -- -- Generates a prediction for the observation using the specified -- 'MLModel'. -- -- Note -- -- Not all response parameters will be populated because this is dependent -- on the type of requested model. -- -- /See:/ for Predict. module Network.AWS.MachineLearning.Predict ( -- * Creating a Request predict , Predict -- * Request Lenses , pMLModelId , pRecord , pPredictEndpoint -- * Destructuring the Response , predictResponse , PredictResponse -- * Response Lenses , prsPrediction , prsStatus ) where import Network.AWS.MachineLearning.Types import Network.AWS.MachineLearning.Types.Product import Network.AWS.Prelude import Network.AWS.Request import Network.AWS.Response -- | /See:/ 'predict' smart constructor. data Predict = Predict' { _pMLModelId :: !Text , _pRecord :: !(Map Text Text) , _pPredictEndpoint :: !Text } deriving (Eq,Read,Show,Data,Typeable,Generic) -- | Creates a value of 'Predict' with the minimum fields required to make a request. -- -- Use one of the following lenses to modify other fields as desired: -- -- * 'pMLModelId' -- -- * 'pRecord' -- -- * 'pPredictEndpoint' predict :: Text -- ^ 'pMLModelId' -> Text -- ^ 'pPredictEndpoint' -> Predict predict pMLModelId_ pPredictEndpoint_ = Predict' { _pMLModelId = pMLModelId_ , _pRecord = mempty , _pPredictEndpoint = pPredictEndpoint_ } -- | A unique identifier of the 'MLModel'. pMLModelId :: Lens' Predict Text pMLModelId = lens _pMLModelId (\ s a -> s{_pMLModelId = a}); -- | Undocumented member. pRecord :: Lens' Predict (HashMap Text Text) pRecord = lens _pRecord (\ s a -> s{_pRecord = a}) . _Map; -- | Undocumented member. pPredictEndpoint :: Lens' Predict Text pPredictEndpoint = lens _pPredictEndpoint (\ s a -> s{_pPredictEndpoint = a}); instance AWSRequest Predict where type Sv Predict = MachineLearning type Rs Predict = PredictResponse request = postJSON response = receiveJSON (\ s h x -> PredictResponse' <$> (x .?> "Prediction") <*> (pure (fromEnum s))) instance ToHeaders Predict where toHeaders = const (mconcat ["X-Amz-Target" =# ("AmazonML_20141212.Predict" :: ByteString), "Content-Type" =# ("application/x-amz-json-1.1" :: ByteString)]) instance ToJSON Predict where toJSON Predict'{..} = object ["MLModelId" .= _pMLModelId, "Record" .= _pRecord, "PredictEndpoint" .= _pPredictEndpoint] instance ToPath Predict where toPath = const "/" instance ToQuery Predict where toQuery = const mempty -- | /See:/ 'predictResponse' smart constructor. data PredictResponse = PredictResponse' { _prsPrediction :: !(Maybe Prediction) , _prsStatus :: !Int } deriving (Eq,Read,Show,Data,Typeable,Generic) -- | Creates a value of 'PredictResponse' with the minimum fields required to make a request. -- -- Use one of the following lenses to modify other fields as desired: -- -- * 'prsPrediction' -- -- * 'prsStatus' predictResponse :: Int -- ^ 'prsStatus' -> PredictResponse predictResponse pStatus_ = PredictResponse' { _prsPrediction = Nothing , _prsStatus = pStatus_ } -- | Undocumented member. prsPrediction :: Lens' PredictResponse (Maybe Prediction) prsPrediction = lens _prsPrediction (\ s a -> s{_prsPrediction = a}); -- | The response status code. prsStatus :: Lens' PredictResponse Int prsStatus = lens _prsStatus (\ s a -> s{_prsStatus = a});