{-# 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.UpdateMLModel -- Copyright : (c) 2013-2023 Brendan Hay -- License : Mozilla Public License, v. 2.0. -- Maintainer : Brendan Hay -- 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 Amazonka.MachineLearning.UpdateMLModel ( -- * Creating a Request UpdateMLModel (..), newUpdateMLModel, -- * Request Lenses updateMLModel_mLModelName, updateMLModel_scoreThreshold, updateMLModel_mLModelId, -- * Destructuring the Response UpdateMLModelResponse (..), newUpdateMLModelResponse, -- * Response Lenses updateMLModelResponse_mLModelId, updateMLModelResponse_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:/ 'newUpdateMLModel' smart constructor. data UpdateMLModel = UpdateMLModel' { -- | A user-supplied name or description of the @MLModel@. mLModelName :: Prelude.Maybe Prelude.Text, -- | 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@. scoreThreshold :: Prelude.Maybe Prelude.Double, -- | The ID assigned to the @MLModel@ during creation. mLModelId :: Prelude.Text } deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic) -- | -- Create a value of 'UpdateMLModel' 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: -- -- 'mLModelName', 'updateMLModel_mLModelName' - A user-supplied name or description of the @MLModel@. -- -- 'scoreThreshold', 'updateMLModel_scoreThreshold' - 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@. -- -- 'mLModelId', 'updateMLModel_mLModelId' - The ID assigned to the @MLModel@ during creation. newUpdateMLModel :: -- | 'mLModelId' Prelude.Text -> UpdateMLModel newUpdateMLModel pMLModelId_ = UpdateMLModel' { mLModelName = Prelude.Nothing, scoreThreshold = Prelude.Nothing, mLModelId = pMLModelId_ } -- | A user-supplied name or description of the @MLModel@. updateMLModel_mLModelName :: Lens.Lens' UpdateMLModel (Prelude.Maybe Prelude.Text) updateMLModel_mLModelName = Lens.lens (\UpdateMLModel' {mLModelName} -> mLModelName) (\s@UpdateMLModel' {} a -> s {mLModelName = a} :: UpdateMLModel) -- | 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@. updateMLModel_scoreThreshold :: Lens.Lens' UpdateMLModel (Prelude.Maybe Prelude.Double) updateMLModel_scoreThreshold = Lens.lens (\UpdateMLModel' {scoreThreshold} -> scoreThreshold) (\s@UpdateMLModel' {} a -> s {scoreThreshold = a} :: UpdateMLModel) -- | The ID assigned to the @MLModel@ during creation. updateMLModel_mLModelId :: Lens.Lens' UpdateMLModel Prelude.Text updateMLModel_mLModelId = Lens.lens (\UpdateMLModel' {mLModelId} -> mLModelId) (\s@UpdateMLModel' {} a -> s {mLModelId = a} :: UpdateMLModel) instance Core.AWSRequest UpdateMLModel where type AWSResponse UpdateMLModel = UpdateMLModelResponse request overrides = Request.postJSON (overrides defaultService) response = Response.receiveJSON ( \s h x -> UpdateMLModelResponse' Prelude.<$> (x Data..?> "MLModelId") Prelude.<*> (Prelude.pure (Prelude.fromEnum s)) ) instance Prelude.Hashable UpdateMLModel where hashWithSalt _salt UpdateMLModel' {..} = _salt `Prelude.hashWithSalt` mLModelName `Prelude.hashWithSalt` scoreThreshold `Prelude.hashWithSalt` mLModelId instance Prelude.NFData UpdateMLModel where rnf UpdateMLModel' {..} = Prelude.rnf mLModelName `Prelude.seq` Prelude.rnf scoreThreshold `Prelude.seq` Prelude.rnf mLModelId instance Data.ToHeaders UpdateMLModel where toHeaders = Prelude.const ( Prelude.mconcat [ "X-Amz-Target" Data.=# ( "AmazonML_20141212.UpdateMLModel" :: Prelude.ByteString ), "Content-Type" Data.=# ( "application/x-amz-json-1.1" :: Prelude.ByteString ) ] ) instance Data.ToJSON UpdateMLModel where toJSON UpdateMLModel' {..} = Data.object ( Prelude.catMaybes [ ("MLModelName" Data..=) Prelude.<$> mLModelName, ("ScoreThreshold" Data..=) Prelude.<$> scoreThreshold, Prelude.Just ("MLModelId" Data..= mLModelId) ] ) instance Data.ToPath UpdateMLModel where toPath = Prelude.const "/" instance Data.ToQuery UpdateMLModel where toQuery = Prelude.const Prelude.mempty -- | Represents the output of an @UpdateMLModel@ operation. -- -- You can see the updated content by using the @GetMLModel@ operation. -- -- /See:/ 'newUpdateMLModelResponse' smart constructor. data UpdateMLModelResponse = UpdateMLModelResponse' { -- | The ID assigned to the @MLModel@ during creation. This value should be -- identical to the value of the @MLModelID@ in the request. mLModelId :: Prelude.Maybe Prelude.Text, -- | The response's http status code. httpStatus :: Prelude.Int } deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic) -- | -- Create a value of 'UpdateMLModelResponse' 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', 'updateMLModelResponse_mLModelId' - The ID assigned to the @MLModel@ during creation. This value should be -- identical to the value of the @MLModelID@ in the request. -- -- 'httpStatus', 'updateMLModelResponse_httpStatus' - The response's http status code. newUpdateMLModelResponse :: -- | 'httpStatus' Prelude.Int -> UpdateMLModelResponse newUpdateMLModelResponse pHttpStatus_ = UpdateMLModelResponse' { mLModelId = Prelude.Nothing, httpStatus = pHttpStatus_ } -- | The ID assigned to the @MLModel@ during creation. This value should be -- identical to the value of the @MLModelID@ in the request. updateMLModelResponse_mLModelId :: Lens.Lens' UpdateMLModelResponse (Prelude.Maybe Prelude.Text) updateMLModelResponse_mLModelId = Lens.lens (\UpdateMLModelResponse' {mLModelId} -> mLModelId) (\s@UpdateMLModelResponse' {} a -> s {mLModelId = a} :: UpdateMLModelResponse) -- | The response's http status code. updateMLModelResponse_httpStatus :: Lens.Lens' UpdateMLModelResponse Prelude.Int updateMLModelResponse_httpStatus = Lens.lens (\UpdateMLModelResponse' {httpStatus} -> httpStatus) (\s@UpdateMLModelResponse' {} a -> s {httpStatus = a} :: UpdateMLModelResponse) instance Prelude.NFData UpdateMLModelResponse where rnf UpdateMLModelResponse' {..} = Prelude.rnf mLModelId `Prelude.seq` Prelude.rnf httpStatus