{-# LANGUAGE DeriveGeneric #-} {-# LANGUAGE DuplicateRecordFields #-} {-# LANGUAGE NamedFieldPuns #-} {-# LANGUAGE OverloadedStrings #-} {-# LANGUAGE RecordWildCards #-} {-# LANGUAGE StrictData #-} {-# LANGUAGE TypeFamilies #-} {-# LANGUAGE NoImplicitPrelude #-} {-# OPTIONS_GHC -fno-warn-unused-binds #-} {-# OPTIONS_GHC -fno-warn-unused-imports #-} {-# OPTIONS_GHC -fno-warn-unused-matches #-} -- Derived from AWS service descriptions, licensed under Apache 2.0. -- | -- Module : Amazonka.MachineLearning.Predict -- Copyright : (c) 2013-2023 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 -- @ML Model@. -- -- __Note:__ Not all response parameters will be populated. Whether a -- response parameter is populated depends on the type of model requested. module Amazonka.MachineLearning.Predict ( -- * Creating a Request Predict (..), newPredict, -- * Request Lenses predict_mLModelId, predict_record, predict_predictEndpoint, -- * Destructuring the Response PredictResponse (..), newPredictResponse, -- * Response Lenses predictResponse_prediction, predictResponse_httpStatus, ) where import qualified Amazonka.Core as Core import qualified Amazonka.Core.Lens.Internal as Lens import qualified Amazonka.Data as Data import Amazonka.MachineLearning.Types import qualified Amazonka.Prelude as Prelude import qualified Amazonka.Request as Request import qualified Amazonka.Response as Response -- | /See:/ 'newPredict' smart constructor. data Predict = Predict' { -- | A unique identifier of the @MLModel@. mLModelId :: Prelude.Text, record :: Prelude.HashMap Prelude.Text Prelude.Text, predictEndpoint :: Prelude.Text } deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic) -- | -- Create a value of 'Predict' with all optional fields omitted. -- -- Use or to modify other optional fields. -- -- The following record fields are available, with the corresponding lenses provided -- for backwards compatibility: -- -- 'mLModelId', 'predict_mLModelId' - A unique identifier of the @MLModel@. -- -- 'record', 'predict_record' - Undocumented member. -- -- 'predictEndpoint', 'predict_predictEndpoint' - Undocumented member. newPredict :: -- | 'mLModelId' Prelude.Text -> -- | 'predictEndpoint' Prelude.Text -> Predict newPredict pMLModelId_ pPredictEndpoint_ = Predict' { mLModelId = pMLModelId_, record = Prelude.mempty, predictEndpoint = pPredictEndpoint_ } -- | A unique identifier of the @MLModel@. predict_mLModelId :: Lens.Lens' Predict Prelude.Text predict_mLModelId = Lens.lens (\Predict' {mLModelId} -> mLModelId) (\s@Predict' {} a -> s {mLModelId = a} :: Predict) -- | Undocumented member. predict_record :: Lens.Lens' Predict (Prelude.HashMap Prelude.Text Prelude.Text) predict_record = Lens.lens (\Predict' {record} -> record) (\s@Predict' {} a -> s {record = a} :: Predict) Prelude.. Lens.coerced -- | Undocumented member. predict_predictEndpoint :: Lens.Lens' Predict Prelude.Text predict_predictEndpoint = Lens.lens (\Predict' {predictEndpoint} -> predictEndpoint) (\s@Predict' {} a -> s {predictEndpoint = a} :: Predict) instance Core.AWSRequest Predict where type AWSResponse Predict = PredictResponse request overrides = Request.postJSON (overrides defaultService) response = Response.receiveJSON ( \s h x -> PredictResponse' Prelude.<$> (x Data..?> "Prediction") Prelude.<*> (Prelude.pure (Prelude.fromEnum s)) ) instance Prelude.Hashable Predict where hashWithSalt _salt Predict' {..} = _salt `Prelude.hashWithSalt` mLModelId `Prelude.hashWithSalt` record `Prelude.hashWithSalt` predictEndpoint instance Prelude.NFData Predict where rnf Predict' {..} = Prelude.rnf mLModelId `Prelude.seq` Prelude.rnf record `Prelude.seq` Prelude.rnf predictEndpoint instance Data.ToHeaders Predict where toHeaders = Prelude.const ( Prelude.mconcat [ "X-Amz-Target" Data.=# ("AmazonML_20141212.Predict" :: Prelude.ByteString), "Content-Type" Data.=# ( "application/x-amz-json-1.1" :: Prelude.ByteString ) ] ) instance Data.ToJSON Predict where toJSON Predict' {..} = Data.object ( Prelude.catMaybes [ Prelude.Just ("MLModelId" Data..= mLModelId), Prelude.Just ("Record" Data..= record), Prelude.Just ("PredictEndpoint" Data..= predictEndpoint) ] ) instance Data.ToPath Predict where toPath = Prelude.const "/" instance Data.ToQuery Predict where toQuery = Prelude.const Prelude.mempty -- | /See:/ 'newPredictResponse' smart constructor. data PredictResponse = PredictResponse' { prediction :: Prelude.Maybe Prediction, -- | The response's http status code. httpStatus :: Prelude.Int } deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic) -- | -- Create a value of 'PredictResponse' with all optional fields omitted. -- -- Use or to modify other optional fields. -- -- The following record fields are available, with the corresponding lenses provided -- for backwards compatibility: -- -- 'prediction', 'predictResponse_prediction' - Undocumented member. -- -- 'httpStatus', 'predictResponse_httpStatus' - The response's http status code. newPredictResponse :: -- | 'httpStatus' Prelude.Int -> PredictResponse newPredictResponse pHttpStatus_ = PredictResponse' { prediction = Prelude.Nothing, httpStatus = pHttpStatus_ } -- | Undocumented member. predictResponse_prediction :: Lens.Lens' PredictResponse (Prelude.Maybe Prediction) predictResponse_prediction = Lens.lens (\PredictResponse' {prediction} -> prediction) (\s@PredictResponse' {} a -> s {prediction = a} :: PredictResponse) -- | The response's http status code. predictResponse_httpStatus :: Lens.Lens' PredictResponse Prelude.Int predictResponse_httpStatus = Lens.lens (\PredictResponse' {httpStatus} -> httpStatus) (\s@PredictResponse' {} a -> s {httpStatus = a} :: PredictResponse) instance Prelude.NFData PredictResponse where rnf PredictResponse' {..} = Prelude.rnf prediction `Prelude.seq` Prelude.rnf httpStatus