{-# 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.Forecast.DescribePredictor
-- Copyright   : (c) 2013-2023 Brendan Hay
-- License     : Mozilla Public License, v. 2.0.
-- Maintainer  : Brendan Hay
-- Stability   : auto-generated
-- Portability : non-portable (GHC extensions)
--
-- This operation is only valid for legacy predictors created with
-- CreatePredictor. If you are not using a legacy predictor, use
-- DescribeAutoPredictor.
--
-- Describes a predictor created using the CreatePredictor operation.
--
-- In addition to listing the properties provided in the @CreatePredictor@
-- request, this operation lists the following properties:
--
-- -   @DatasetImportJobArns@ - The dataset import jobs used to import
--     training data.
--
-- -   @AutoMLAlgorithmArns@ - If AutoML is performed, the algorithms that
--     were evaluated.
--
-- -   @CreationTime@
--
-- -   @LastModificationTime@
--
-- -   @Status@
--
-- -   @Message@ - If an error occurred, information about the error.
module Amazonka.Forecast.DescribePredictor
  ( -- * Creating a Request
    DescribePredictor (..),
    newDescribePredictor,

    -- * Request Lenses
    describePredictor_predictorArn,

    -- * Destructuring the Response
    DescribePredictorResponse (..),
    newDescribePredictorResponse,

    -- * Response Lenses
    describePredictorResponse_algorithmArn,
    describePredictorResponse_autoMLAlgorithmArns,
    describePredictorResponse_autoMLOverrideStrategy,
    describePredictorResponse_creationTime,
    describePredictorResponse_datasetImportJobArns,
    describePredictorResponse_encryptionConfig,
    describePredictorResponse_estimatedTimeRemainingInMinutes,
    describePredictorResponse_evaluationParameters,
    describePredictorResponse_featurizationConfig,
    describePredictorResponse_forecastHorizon,
    describePredictorResponse_forecastTypes,
    describePredictorResponse_hPOConfig,
    describePredictorResponse_inputDataConfig,
    describePredictorResponse_isAutoPredictor,
    describePredictorResponse_lastModificationTime,
    describePredictorResponse_message,
    describePredictorResponse_optimizationMetric,
    describePredictorResponse_performAutoML,
    describePredictorResponse_performHPO,
    describePredictorResponse_predictorArn,
    describePredictorResponse_predictorExecutionDetails,
    describePredictorResponse_predictorName,
    describePredictorResponse_status,
    describePredictorResponse_trainingParameters,
    describePredictorResponse_httpStatus,
  )
where

import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import Amazonka.Forecast.Types
import qualified Amazonka.Prelude as Prelude
import qualified Amazonka.Request as Request
import qualified Amazonka.Response as Response

-- | /See:/ 'newDescribePredictor' smart constructor.
data DescribePredictor = DescribePredictor'
  { -- | The Amazon Resource Name (ARN) of the predictor that you want
    -- information about.
    predictorArn :: Prelude.Text
  }
  deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)

-- |
-- Create a value of 'DescribePredictor' with all optional fields omitted.
--
-- Use <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> to modify other optional fields.
--
-- The following record fields are available, with the corresponding lenses provided
-- for backwards compatibility:
--
-- 'predictorArn', 'describePredictor_predictorArn' - The Amazon Resource Name (ARN) of the predictor that you want
-- information about.
newDescribePredictor ::
  -- | 'predictorArn'
  Prelude.Text ->
  DescribePredictor
newDescribePredictor pPredictorArn_ =
  DescribePredictor' {predictorArn = pPredictorArn_}

-- | The Amazon Resource Name (ARN) of the predictor that you want
-- information about.
describePredictor_predictorArn :: Lens.Lens' DescribePredictor Prelude.Text
describePredictor_predictorArn = Lens.lens (\DescribePredictor' {predictorArn} -> predictorArn) (\s@DescribePredictor' {} a -> s {predictorArn = a} :: DescribePredictor)

instance Core.AWSRequest DescribePredictor where
  type
    AWSResponse DescribePredictor =
      DescribePredictorResponse
  request overrides =
    Request.postJSON (overrides defaultService)
  response =
    Response.receiveJSON
      ( \s h x ->
          DescribePredictorResponse'
            Prelude.<$> (x Data..?> "AlgorithmArn")
            Prelude.<*> ( x
                            Data..?> "AutoMLAlgorithmArns"
                            Core..!@ Prelude.mempty
                        )
            Prelude.<*> (x Data..?> "AutoMLOverrideStrategy")
            Prelude.<*> (x Data..?> "CreationTime")
            Prelude.<*> ( x
                            Data..?> "DatasetImportJobArns"
                            Core..!@ Prelude.mempty
                        )
            Prelude.<*> (x Data..?> "EncryptionConfig")
            Prelude.<*> (x Data..?> "EstimatedTimeRemainingInMinutes")
            Prelude.<*> (x Data..?> "EvaluationParameters")
            Prelude.<*> (x Data..?> "FeaturizationConfig")
            Prelude.<*> (x Data..?> "ForecastHorizon")
            Prelude.<*> (x Data..?> "ForecastTypes")
            Prelude.<*> (x Data..?> "HPOConfig")
            Prelude.<*> (x Data..?> "InputDataConfig")
            Prelude.<*> (x Data..?> "IsAutoPredictor")
            Prelude.<*> (x Data..?> "LastModificationTime")
            Prelude.<*> (x Data..?> "Message")
            Prelude.<*> (x Data..?> "OptimizationMetric")
            Prelude.<*> (x Data..?> "PerformAutoML")
            Prelude.<*> (x Data..?> "PerformHPO")
            Prelude.<*> (x Data..?> "PredictorArn")
            Prelude.<*> (x Data..?> "PredictorExecutionDetails")
            Prelude.<*> (x Data..?> "PredictorName")
            Prelude.<*> (x Data..?> "Status")
            Prelude.<*> ( x
                            Data..?> "TrainingParameters"
                            Core..!@ Prelude.mempty
                        )
            Prelude.<*> (Prelude.pure (Prelude.fromEnum s))
      )

instance Prelude.Hashable DescribePredictor where
  hashWithSalt _salt DescribePredictor' {..} =
    _salt `Prelude.hashWithSalt` predictorArn

instance Prelude.NFData DescribePredictor where
  rnf DescribePredictor' {..} = Prelude.rnf predictorArn

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

instance Data.ToJSON DescribePredictor where
  toJSON DescribePredictor' {..} =
    Data.object
      ( Prelude.catMaybes
          [Prelude.Just ("PredictorArn" Data..= predictorArn)]
      )

instance Data.ToPath DescribePredictor where
  toPath = Prelude.const "/"

instance Data.ToQuery DescribePredictor where
  toQuery = Prelude.const Prelude.mempty

-- | /See:/ 'newDescribePredictorResponse' smart constructor.
data DescribePredictorResponse = DescribePredictorResponse'
  { -- | The Amazon Resource Name (ARN) of the algorithm used for model training.
    algorithmArn :: Prelude.Maybe Prelude.Text,
    -- | When @PerformAutoML@ is specified, the ARN of the chosen algorithm.
    autoMLAlgorithmArns :: Prelude.Maybe [Prelude.Text],
    -- | The @LatencyOptimized@ AutoML override strategy is only available in
    -- private beta. Contact AWS Support or your account manager to learn more
    -- about access privileges.
    --
    -- The AutoML strategy used to train the predictor. Unless
    -- @LatencyOptimized@ is specified, the AutoML strategy optimizes predictor
    -- accuracy.
    --
    -- This parameter is only valid for predictors trained using AutoML.
    autoMLOverrideStrategy :: Prelude.Maybe AutoMLOverrideStrategy,
    -- | When the model training task was created.
    creationTime :: Prelude.Maybe Data.POSIX,
    -- | An array of the ARNs of the dataset import jobs used to import training
    -- data for the predictor.
    datasetImportJobArns :: Prelude.Maybe [Prelude.Text],
    -- | An AWS Key Management Service (KMS) key and the AWS Identity and Access
    -- Management (IAM) role that Amazon Forecast can assume to access the key.
    encryptionConfig :: Prelude.Maybe EncryptionConfig,
    -- | The estimated time remaining in minutes for the predictor training job
    -- to complete.
    estimatedTimeRemainingInMinutes :: Prelude.Maybe Prelude.Integer,
    -- | Used to override the default evaluation parameters of the specified
    -- algorithm. Amazon Forecast evaluates a predictor by splitting a dataset
    -- into training data and testing data. The evaluation parameters define
    -- how to perform the split and the number of iterations.
    evaluationParameters :: Prelude.Maybe EvaluationParameters,
    -- | The featurization configuration.
    featurizationConfig :: Prelude.Maybe FeaturizationConfig,
    -- | The number of time-steps of the forecast. The forecast horizon is also
    -- called the prediction length.
    forecastHorizon :: Prelude.Maybe Prelude.Int,
    -- | The forecast types used during predictor training. Default value is
    -- @[\"0.1\",\"0.5\",\"0.9\"]@
    forecastTypes :: Prelude.Maybe (Prelude.NonEmpty Prelude.Text),
    -- | The hyperparameter override values for the algorithm.
    hPOConfig :: Prelude.Maybe HyperParameterTuningJobConfig,
    -- | Describes the dataset group that contains the data to use to train the
    -- predictor.
    inputDataConfig :: Prelude.Maybe InputDataConfig,
    -- | Whether the predictor was created with CreateAutoPredictor.
    isAutoPredictor :: Prelude.Maybe Prelude.Bool,
    -- | The last time the resource was modified. The timestamp depends on the
    -- status of the job:
    --
    -- -   @CREATE_PENDING@ - The @CreationTime@.
    --
    -- -   @CREATE_IN_PROGRESS@ - The current timestamp.
    --
    -- -   @CREATE_STOPPING@ - The current timestamp.
    --
    -- -   @CREATE_STOPPED@ - When the job stopped.
    --
    -- -   @ACTIVE@ or @CREATE_FAILED@ - When the job finished or failed.
    lastModificationTime :: Prelude.Maybe Data.POSIX,
    -- | If an error occurred, an informational message about the error.
    message :: Prelude.Maybe Prelude.Text,
    -- | The accuracy metric used to optimize the predictor.
    optimizationMetric :: Prelude.Maybe OptimizationMetric,
    -- | Whether the predictor is set to perform AutoML.
    performAutoML :: Prelude.Maybe Prelude.Bool,
    -- | Whether the predictor is set to perform hyperparameter optimization
    -- (HPO).
    performHPO :: Prelude.Maybe Prelude.Bool,
    -- | The ARN of the predictor.
    predictorArn :: Prelude.Maybe Prelude.Text,
    -- | Details on the the status and results of the backtests performed to
    -- evaluate the accuracy of the predictor. You specify the number of
    -- backtests to perform when you call the operation.
    predictorExecutionDetails :: Prelude.Maybe PredictorExecutionDetails,
    -- | The name of the predictor.
    predictorName :: Prelude.Maybe Prelude.Text,
    -- | The status of the predictor. States include:
    --
    -- -   @ACTIVE@
    --
    -- -   @CREATE_PENDING@, @CREATE_IN_PROGRESS@, @CREATE_FAILED@
    --
    -- -   @DELETE_PENDING@, @DELETE_IN_PROGRESS@, @DELETE_FAILED@
    --
    -- -   @CREATE_STOPPING@, @CREATE_STOPPED@
    --
    -- The @Status@ of the predictor must be @ACTIVE@ before you can use the
    -- predictor to create a forecast.
    status :: Prelude.Maybe Prelude.Text,
    -- | The default training parameters or overrides selected during model
    -- training. When running AutoML or choosing HPO with CNN-QR or DeepAR+,
    -- the optimized values for the chosen hyperparameters are returned. For
    -- more information, see aws-forecast-choosing-recipes.
    trainingParameters :: Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text),
    -- | The response's http status code.
    httpStatus :: Prelude.Int
  }
  deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)

-- |
-- Create a value of 'DescribePredictorResponse' with all optional fields omitted.
--
-- Use <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> to modify other optional fields.
--
-- The following record fields are available, with the corresponding lenses provided
-- for backwards compatibility:
--
-- 'algorithmArn', 'describePredictorResponse_algorithmArn' - The Amazon Resource Name (ARN) of the algorithm used for model training.
--
-- 'autoMLAlgorithmArns', 'describePredictorResponse_autoMLAlgorithmArns' - When @PerformAutoML@ is specified, the ARN of the chosen algorithm.
--
-- 'autoMLOverrideStrategy', 'describePredictorResponse_autoMLOverrideStrategy' - The @LatencyOptimized@ AutoML override strategy is only available in
-- private beta. Contact AWS Support or your account manager to learn more
-- about access privileges.
--
-- The AutoML strategy used to train the predictor. Unless
-- @LatencyOptimized@ is specified, the AutoML strategy optimizes predictor
-- accuracy.
--
-- This parameter is only valid for predictors trained using AutoML.
--
-- 'creationTime', 'describePredictorResponse_creationTime' - When the model training task was created.
--
-- 'datasetImportJobArns', 'describePredictorResponse_datasetImportJobArns' - An array of the ARNs of the dataset import jobs used to import training
-- data for the predictor.
--
-- 'encryptionConfig', 'describePredictorResponse_encryptionConfig' - An AWS Key Management Service (KMS) key and the AWS Identity and Access
-- Management (IAM) role that Amazon Forecast can assume to access the key.
--
-- 'estimatedTimeRemainingInMinutes', 'describePredictorResponse_estimatedTimeRemainingInMinutes' - The estimated time remaining in minutes for the predictor training job
-- to complete.
--
-- 'evaluationParameters', 'describePredictorResponse_evaluationParameters' - Used to override the default evaluation parameters of the specified
-- algorithm. Amazon Forecast evaluates a predictor by splitting a dataset
-- into training data and testing data. The evaluation parameters define
-- how to perform the split and the number of iterations.
--
-- 'featurizationConfig', 'describePredictorResponse_featurizationConfig' - The featurization configuration.
--
-- 'forecastHorizon', 'describePredictorResponse_forecastHorizon' - The number of time-steps of the forecast. The forecast horizon is also
-- called the prediction length.
--
-- 'forecastTypes', 'describePredictorResponse_forecastTypes' - The forecast types used during predictor training. Default value is
-- @[\"0.1\",\"0.5\",\"0.9\"]@
--
-- 'hPOConfig', 'describePredictorResponse_hPOConfig' - The hyperparameter override values for the algorithm.
--
-- 'inputDataConfig', 'describePredictorResponse_inputDataConfig' - Describes the dataset group that contains the data to use to train the
-- predictor.
--
-- 'isAutoPredictor', 'describePredictorResponse_isAutoPredictor' - Whether the predictor was created with CreateAutoPredictor.
--
-- 'lastModificationTime', 'describePredictorResponse_lastModificationTime' - The last time the resource was modified. The timestamp depends on the
-- status of the job:
--
-- -   @CREATE_PENDING@ - The @CreationTime@.
--
-- -   @CREATE_IN_PROGRESS@ - The current timestamp.
--
-- -   @CREATE_STOPPING@ - The current timestamp.
--
-- -   @CREATE_STOPPED@ - When the job stopped.
--
-- -   @ACTIVE@ or @CREATE_FAILED@ - When the job finished or failed.
--
-- 'message', 'describePredictorResponse_message' - If an error occurred, an informational message about the error.
--
-- 'optimizationMetric', 'describePredictorResponse_optimizationMetric' - The accuracy metric used to optimize the predictor.
--
-- 'performAutoML', 'describePredictorResponse_performAutoML' - Whether the predictor is set to perform AutoML.
--
-- 'performHPO', 'describePredictorResponse_performHPO' - Whether the predictor is set to perform hyperparameter optimization
-- (HPO).
--
-- 'predictorArn', 'describePredictorResponse_predictorArn' - The ARN of the predictor.
--
-- 'predictorExecutionDetails', 'describePredictorResponse_predictorExecutionDetails' - Details on the the status and results of the backtests performed to
-- evaluate the accuracy of the predictor. You specify the number of
-- backtests to perform when you call the operation.
--
-- 'predictorName', 'describePredictorResponse_predictorName' - The name of the predictor.
--
-- 'status', 'describePredictorResponse_status' - The status of the predictor. States include:
--
-- -   @ACTIVE@
--
-- -   @CREATE_PENDING@, @CREATE_IN_PROGRESS@, @CREATE_FAILED@
--
-- -   @DELETE_PENDING@, @DELETE_IN_PROGRESS@, @DELETE_FAILED@
--
-- -   @CREATE_STOPPING@, @CREATE_STOPPED@
--
-- The @Status@ of the predictor must be @ACTIVE@ before you can use the
-- predictor to create a forecast.
--
-- 'trainingParameters', 'describePredictorResponse_trainingParameters' - The default training parameters or overrides selected during model
-- training. When running AutoML or choosing HPO with CNN-QR or DeepAR+,
-- the optimized values for the chosen hyperparameters are returned. For
-- more information, see aws-forecast-choosing-recipes.
--
-- 'httpStatus', 'describePredictorResponse_httpStatus' - The response's http status code.
newDescribePredictorResponse ::
  -- | 'httpStatus'
  Prelude.Int ->
  DescribePredictorResponse
newDescribePredictorResponse pHttpStatus_ =
  DescribePredictorResponse'
    { algorithmArn =
        Prelude.Nothing,
      autoMLAlgorithmArns = Prelude.Nothing,
      autoMLOverrideStrategy = Prelude.Nothing,
      creationTime = Prelude.Nothing,
      datasetImportJobArns = Prelude.Nothing,
      encryptionConfig = Prelude.Nothing,
      estimatedTimeRemainingInMinutes =
        Prelude.Nothing,
      evaluationParameters = Prelude.Nothing,
      featurizationConfig = Prelude.Nothing,
      forecastHorizon = Prelude.Nothing,
      forecastTypes = Prelude.Nothing,
      hPOConfig = Prelude.Nothing,
      inputDataConfig = Prelude.Nothing,
      isAutoPredictor = Prelude.Nothing,
      lastModificationTime = Prelude.Nothing,
      message = Prelude.Nothing,
      optimizationMetric = Prelude.Nothing,
      performAutoML = Prelude.Nothing,
      performHPO = Prelude.Nothing,
      predictorArn = Prelude.Nothing,
      predictorExecutionDetails = Prelude.Nothing,
      predictorName = Prelude.Nothing,
      status = Prelude.Nothing,
      trainingParameters = Prelude.Nothing,
      httpStatus = pHttpStatus_
    }

-- | The Amazon Resource Name (ARN) of the algorithm used for model training.
describePredictorResponse_algorithmArn :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.Text)
describePredictorResponse_algorithmArn = Lens.lens (\DescribePredictorResponse' {algorithmArn} -> algorithmArn) (\s@DescribePredictorResponse' {} a -> s {algorithmArn = a} :: DescribePredictorResponse)

-- | When @PerformAutoML@ is specified, the ARN of the chosen algorithm.
describePredictorResponse_autoMLAlgorithmArns :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe [Prelude.Text])
describePredictorResponse_autoMLAlgorithmArns = Lens.lens (\DescribePredictorResponse' {autoMLAlgorithmArns} -> autoMLAlgorithmArns) (\s@DescribePredictorResponse' {} a -> s {autoMLAlgorithmArns = a} :: DescribePredictorResponse) Prelude.. Lens.mapping Lens.coerced

-- | The @LatencyOptimized@ AutoML override strategy is only available in
-- private beta. Contact AWS Support or your account manager to learn more
-- about access privileges.
--
-- The AutoML strategy used to train the predictor. Unless
-- @LatencyOptimized@ is specified, the AutoML strategy optimizes predictor
-- accuracy.
--
-- This parameter is only valid for predictors trained using AutoML.
describePredictorResponse_autoMLOverrideStrategy :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe AutoMLOverrideStrategy)
describePredictorResponse_autoMLOverrideStrategy = Lens.lens (\DescribePredictorResponse' {autoMLOverrideStrategy} -> autoMLOverrideStrategy) (\s@DescribePredictorResponse' {} a -> s {autoMLOverrideStrategy = a} :: DescribePredictorResponse)

-- | When the model training task was created.
describePredictorResponse_creationTime :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.UTCTime)
describePredictorResponse_creationTime = Lens.lens (\DescribePredictorResponse' {creationTime} -> creationTime) (\s@DescribePredictorResponse' {} a -> s {creationTime = a} :: DescribePredictorResponse) Prelude.. Lens.mapping Data._Time

-- | An array of the ARNs of the dataset import jobs used to import training
-- data for the predictor.
describePredictorResponse_datasetImportJobArns :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe [Prelude.Text])
describePredictorResponse_datasetImportJobArns = Lens.lens (\DescribePredictorResponse' {datasetImportJobArns} -> datasetImportJobArns) (\s@DescribePredictorResponse' {} a -> s {datasetImportJobArns = a} :: DescribePredictorResponse) Prelude.. Lens.mapping Lens.coerced

-- | An AWS Key Management Service (KMS) key and the AWS Identity and Access
-- Management (IAM) role that Amazon Forecast can assume to access the key.
describePredictorResponse_encryptionConfig :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe EncryptionConfig)
describePredictorResponse_encryptionConfig = Lens.lens (\DescribePredictorResponse' {encryptionConfig} -> encryptionConfig) (\s@DescribePredictorResponse' {} a -> s {encryptionConfig = a} :: DescribePredictorResponse)

-- | The estimated time remaining in minutes for the predictor training job
-- to complete.
describePredictorResponse_estimatedTimeRemainingInMinutes :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.Integer)
describePredictorResponse_estimatedTimeRemainingInMinutes = Lens.lens (\DescribePredictorResponse' {estimatedTimeRemainingInMinutes} -> estimatedTimeRemainingInMinutes) (\s@DescribePredictorResponse' {} a -> s {estimatedTimeRemainingInMinutes = a} :: DescribePredictorResponse)

-- | Used to override the default evaluation parameters of the specified
-- algorithm. Amazon Forecast evaluates a predictor by splitting a dataset
-- into training data and testing data. The evaluation parameters define
-- how to perform the split and the number of iterations.
describePredictorResponse_evaluationParameters :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe EvaluationParameters)
describePredictorResponse_evaluationParameters = Lens.lens (\DescribePredictorResponse' {evaluationParameters} -> evaluationParameters) (\s@DescribePredictorResponse' {} a -> s {evaluationParameters = a} :: DescribePredictorResponse)

-- | The featurization configuration.
describePredictorResponse_featurizationConfig :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe FeaturizationConfig)
describePredictorResponse_featurizationConfig = Lens.lens (\DescribePredictorResponse' {featurizationConfig} -> featurizationConfig) (\s@DescribePredictorResponse' {} a -> s {featurizationConfig = a} :: DescribePredictorResponse)

-- | The number of time-steps of the forecast. The forecast horizon is also
-- called the prediction length.
describePredictorResponse_forecastHorizon :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.Int)
describePredictorResponse_forecastHorizon = Lens.lens (\DescribePredictorResponse' {forecastHorizon} -> forecastHorizon) (\s@DescribePredictorResponse' {} a -> s {forecastHorizon = a} :: DescribePredictorResponse)

-- | The forecast types used during predictor training. Default value is
-- @[\"0.1\",\"0.5\",\"0.9\"]@
describePredictorResponse_forecastTypes :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe (Prelude.NonEmpty Prelude.Text))
describePredictorResponse_forecastTypes = Lens.lens (\DescribePredictorResponse' {forecastTypes} -> forecastTypes) (\s@DescribePredictorResponse' {} a -> s {forecastTypes = a} :: DescribePredictorResponse) Prelude.. Lens.mapping Lens.coerced

-- | The hyperparameter override values for the algorithm.
describePredictorResponse_hPOConfig :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe HyperParameterTuningJobConfig)
describePredictorResponse_hPOConfig = Lens.lens (\DescribePredictorResponse' {hPOConfig} -> hPOConfig) (\s@DescribePredictorResponse' {} a -> s {hPOConfig = a} :: DescribePredictorResponse)

-- | Describes the dataset group that contains the data to use to train the
-- predictor.
describePredictorResponse_inputDataConfig :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe InputDataConfig)
describePredictorResponse_inputDataConfig = Lens.lens (\DescribePredictorResponse' {inputDataConfig} -> inputDataConfig) (\s@DescribePredictorResponse' {} a -> s {inputDataConfig = a} :: DescribePredictorResponse)

-- | Whether the predictor was created with CreateAutoPredictor.
describePredictorResponse_isAutoPredictor :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.Bool)
describePredictorResponse_isAutoPredictor = Lens.lens (\DescribePredictorResponse' {isAutoPredictor} -> isAutoPredictor) (\s@DescribePredictorResponse' {} a -> s {isAutoPredictor = a} :: DescribePredictorResponse)

-- | The last time the resource was modified. The timestamp depends on the
-- status of the job:
--
-- -   @CREATE_PENDING@ - The @CreationTime@.
--
-- -   @CREATE_IN_PROGRESS@ - The current timestamp.
--
-- -   @CREATE_STOPPING@ - The current timestamp.
--
-- -   @CREATE_STOPPED@ - When the job stopped.
--
-- -   @ACTIVE@ or @CREATE_FAILED@ - When the job finished or failed.
describePredictorResponse_lastModificationTime :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.UTCTime)
describePredictorResponse_lastModificationTime = Lens.lens (\DescribePredictorResponse' {lastModificationTime} -> lastModificationTime) (\s@DescribePredictorResponse' {} a -> s {lastModificationTime = a} :: DescribePredictorResponse) Prelude.. Lens.mapping Data._Time

-- | If an error occurred, an informational message about the error.
describePredictorResponse_message :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.Text)
describePredictorResponse_message = Lens.lens (\DescribePredictorResponse' {message} -> message) (\s@DescribePredictorResponse' {} a -> s {message = a} :: DescribePredictorResponse)

-- | The accuracy metric used to optimize the predictor.
describePredictorResponse_optimizationMetric :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe OptimizationMetric)
describePredictorResponse_optimizationMetric = Lens.lens (\DescribePredictorResponse' {optimizationMetric} -> optimizationMetric) (\s@DescribePredictorResponse' {} a -> s {optimizationMetric = a} :: DescribePredictorResponse)

-- | Whether the predictor is set to perform AutoML.
describePredictorResponse_performAutoML :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.Bool)
describePredictorResponse_performAutoML = Lens.lens (\DescribePredictorResponse' {performAutoML} -> performAutoML) (\s@DescribePredictorResponse' {} a -> s {performAutoML = a} :: DescribePredictorResponse)

-- | Whether the predictor is set to perform hyperparameter optimization
-- (HPO).
describePredictorResponse_performHPO :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.Bool)
describePredictorResponse_performHPO = Lens.lens (\DescribePredictorResponse' {performHPO} -> performHPO) (\s@DescribePredictorResponse' {} a -> s {performHPO = a} :: DescribePredictorResponse)

-- | The ARN of the predictor.
describePredictorResponse_predictorArn :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.Text)
describePredictorResponse_predictorArn = Lens.lens (\DescribePredictorResponse' {predictorArn} -> predictorArn) (\s@DescribePredictorResponse' {} a -> s {predictorArn = a} :: DescribePredictorResponse)

-- | Details on the the status and results of the backtests performed to
-- evaluate the accuracy of the predictor. You specify the number of
-- backtests to perform when you call the operation.
describePredictorResponse_predictorExecutionDetails :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe PredictorExecutionDetails)
describePredictorResponse_predictorExecutionDetails = Lens.lens (\DescribePredictorResponse' {predictorExecutionDetails} -> predictorExecutionDetails) (\s@DescribePredictorResponse' {} a -> s {predictorExecutionDetails = a} :: DescribePredictorResponse)

-- | The name of the predictor.
describePredictorResponse_predictorName :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.Text)
describePredictorResponse_predictorName = Lens.lens (\DescribePredictorResponse' {predictorName} -> predictorName) (\s@DescribePredictorResponse' {} a -> s {predictorName = a} :: DescribePredictorResponse)

-- | The status of the predictor. States include:
--
-- -   @ACTIVE@
--
-- -   @CREATE_PENDING@, @CREATE_IN_PROGRESS@, @CREATE_FAILED@
--
-- -   @DELETE_PENDING@, @DELETE_IN_PROGRESS@, @DELETE_FAILED@
--
-- -   @CREATE_STOPPING@, @CREATE_STOPPED@
--
-- The @Status@ of the predictor must be @ACTIVE@ before you can use the
-- predictor to create a forecast.
describePredictorResponse_status :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe Prelude.Text)
describePredictorResponse_status = Lens.lens (\DescribePredictorResponse' {status} -> status) (\s@DescribePredictorResponse' {} a -> s {status = a} :: DescribePredictorResponse)

-- | The default training parameters or overrides selected during model
-- training. When running AutoML or choosing HPO with CNN-QR or DeepAR+,
-- the optimized values for the chosen hyperparameters are returned. For
-- more information, see aws-forecast-choosing-recipes.
describePredictorResponse_trainingParameters :: Lens.Lens' DescribePredictorResponse (Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text))
describePredictorResponse_trainingParameters = Lens.lens (\DescribePredictorResponse' {trainingParameters} -> trainingParameters) (\s@DescribePredictorResponse' {} a -> s {trainingParameters = a} :: DescribePredictorResponse) Prelude.. Lens.mapping Lens.coerced

-- | The response's http status code.
describePredictorResponse_httpStatus :: Lens.Lens' DescribePredictorResponse Prelude.Int
describePredictorResponse_httpStatus = Lens.lens (\DescribePredictorResponse' {httpStatus} -> httpStatus) (\s@DescribePredictorResponse' {} a -> s {httpStatus = a} :: DescribePredictorResponse)

instance Prelude.NFData DescribePredictorResponse where
  rnf DescribePredictorResponse' {..} =
    Prelude.rnf algorithmArn
      `Prelude.seq` Prelude.rnf autoMLAlgorithmArns
      `Prelude.seq` Prelude.rnf autoMLOverrideStrategy
      `Prelude.seq` Prelude.rnf creationTime
      `Prelude.seq` Prelude.rnf datasetImportJobArns
      `Prelude.seq` Prelude.rnf encryptionConfig
      `Prelude.seq` Prelude.rnf estimatedTimeRemainingInMinutes
      `Prelude.seq` Prelude.rnf evaluationParameters
      `Prelude.seq` Prelude.rnf featurizationConfig
      `Prelude.seq` Prelude.rnf forecastHorizon
      `Prelude.seq` Prelude.rnf forecastTypes
      `Prelude.seq` Prelude.rnf hPOConfig
      `Prelude.seq` Prelude.rnf inputDataConfig
      `Prelude.seq` Prelude.rnf isAutoPredictor
      `Prelude.seq` Prelude.rnf lastModificationTime
      `Prelude.seq` Prelude.rnf message
      `Prelude.seq` Prelude.rnf optimizationMetric
      `Prelude.seq` Prelude.rnf performAutoML
      `Prelude.seq` Prelude.rnf performHPO
      `Prelude.seq` Prelude.rnf predictorArn
      `Prelude.seq` Prelude.rnf
        predictorExecutionDetails
      `Prelude.seq` Prelude.rnf predictorName
      `Prelude.seq` Prelude.rnf status
      `Prelude.seq` Prelude.rnf
        trainingParameters
      `Prelude.seq` Prelude.rnf
        httpStatus