{-# 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.UpdateMLModel
-- 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)
--
-- Updates the 'MLModelName' and the 'ScoreThreshold' of an 'MLModel'.
--
-- You can use the < GetMLModel> operation to view the contents of the
-- updated data element.
module Network.AWS.MachineLearning.UpdateMLModel
    (
    -- * Creating a Request
      updateMLModel
    , UpdateMLModel
    -- * Request Lenses
    , umlmMLModelName
    , umlmScoreThreshold
    , umlmMLModelId

    -- * Destructuring the Response
    , updateMLModelResponse
    , UpdateMLModelResponse
    -- * Response Lenses
    , umlmrsMLModelId
    , umlmrsResponseStatus
    ) 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:/ 'updateMLModel' smart constructor.
data UpdateMLModel = UpdateMLModel'
    { _umlmMLModelName    :: !(Maybe Text)
    , _umlmScoreThreshold :: !(Maybe Double)
    , _umlmMLModelId      :: !Text
    } deriving (Eq,Read,Show,Data,Typeable,Generic)

-- | Creates a value of 'UpdateMLModel' with the minimum fields required to make a request.
--
-- Use one of the following lenses to modify other fields as desired:
--
-- * 'umlmMLModelName'
--
-- * 'umlmScoreThreshold'
--
-- * 'umlmMLModelId'
updateMLModel
    :: Text -- ^ 'umlmMLModelId'
    -> UpdateMLModel
updateMLModel pMLModelId_ =
    UpdateMLModel'
    { _umlmMLModelName = Nothing
    , _umlmScoreThreshold = Nothing
    , _umlmMLModelId = pMLModelId_
    }

-- | A user-supplied name or description of the 'MLModel'.
umlmMLModelName :: Lens' UpdateMLModel (Maybe Text)
umlmMLModelName = lens _umlmMLModelName (\ s a -> s{_umlmMLModelName = a});

-- | The 'ScoreThreshold' used in binary classification 'MLModel' that marks
-- the boundary between a positive prediction and a negative prediction.
--
-- Output values greater than or equal to the 'ScoreThreshold' receive a
-- positive result from the 'MLModel', such as 'true'. Output values less
-- than the 'ScoreThreshold' receive a negative response from the
-- 'MLModel', such as 'false'.
umlmScoreThreshold :: Lens' UpdateMLModel (Maybe Double)
umlmScoreThreshold = lens _umlmScoreThreshold (\ s a -> s{_umlmScoreThreshold = a});

-- | The ID assigned to the 'MLModel' during creation.
umlmMLModelId :: Lens' UpdateMLModel Text
umlmMLModelId = lens _umlmMLModelId (\ s a -> s{_umlmMLModelId = a});

instance AWSRequest UpdateMLModel where
        type Rs UpdateMLModel = UpdateMLModelResponse
        request = postJSON machineLearning
        response
          = receiveJSON
              (\ s h x ->
                 UpdateMLModelResponse' <$>
                   (x .?> "MLModelId") <*> (pure (fromEnum s)))

instance Hashable UpdateMLModel

instance NFData UpdateMLModel

instance ToHeaders UpdateMLModel where
        toHeaders
          = const
              (mconcat
                 ["X-Amz-Target" =#
                    ("AmazonML_20141212.UpdateMLModel" :: ByteString),
                  "Content-Type" =#
                    ("application/x-amz-json-1.1" :: ByteString)])

instance ToJSON UpdateMLModel where
        toJSON UpdateMLModel'{..}
          = object
              (catMaybes
                 [("MLModelName" .=) <$> _umlmMLModelName,
                  ("ScoreThreshold" .=) <$> _umlmScoreThreshold,
                  Just ("MLModelId" .= _umlmMLModelId)])

instance ToPath UpdateMLModel where
        toPath = const "/"

instance ToQuery UpdateMLModel where
        toQuery = const mempty

-- | Represents the output of an < UpdateMLModel> operation.
--
-- You can see the updated content by using the < GetMLModel> operation.
--
-- /See:/ 'updateMLModelResponse' smart constructor.
data UpdateMLModelResponse = UpdateMLModelResponse'
    { _umlmrsMLModelId      :: !(Maybe Text)
    , _umlmrsResponseStatus :: !Int
    } deriving (Eq,Read,Show,Data,Typeable,Generic)

-- | Creates a value of 'UpdateMLModelResponse' with the minimum fields required to make a request.
--
-- Use one of the following lenses to modify other fields as desired:
--
-- * 'umlmrsMLModelId'
--
-- * 'umlmrsResponseStatus'
updateMLModelResponse
    :: Int -- ^ 'umlmrsResponseStatus'
    -> UpdateMLModelResponse
updateMLModelResponse pResponseStatus_ =
    UpdateMLModelResponse'
    { _umlmrsMLModelId = Nothing
    , _umlmrsResponseStatus = pResponseStatus_
    }

-- | The ID assigned to the 'MLModel' during creation. This value should be
-- identical to the value of the 'MLModelID' in the request.
umlmrsMLModelId :: Lens' UpdateMLModelResponse (Maybe Text)
umlmrsMLModelId = lens _umlmrsMLModelId (\ s a -> s{_umlmrsMLModelId = a});

-- | The response status code.
umlmrsResponseStatus :: Lens' UpdateMLModelResponse Int
umlmrsResponseStatus = lens _umlmrsResponseStatus (\ s a -> s{_umlmrsResponseStatus = a});

instance NFData UpdateMLModelResponse