Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.Forecast.Types.HyperParameterTuningJobConfig

Description

Synopsis

Documentation

data HyperParameterTuningJobConfig Source #

Configuration information for a hyperparameter tuning job. You specify this object in the CreatePredictor request.

A hyperparameter is a parameter that governs the model training process. You set hyperparameters before training starts, unlike model parameters, which are determined during training. The values of the hyperparameters effect which values are chosen for the model parameters.

In a hyperparameter tuning job, Amazon Forecast chooses the set of hyperparameter values that optimize a specified metric. Forecast accomplishes this by running many training jobs over a range of hyperparameter values. The optimum set of values depends on the algorithm, the training data, and the specified metric objective.

See: newHyperParameterTuningJobConfig smart constructor.

Constructors

HyperParameterTuningJobConfig'
Fields parameterRanges :: Maybe ParameterRanges Specifies the ranges of valid values for the hyperparameters.

Instances

Instances details

Eq HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods (==) :: HyperParameterTuningJobConfig -> HyperParameterTuningJobConfig -> Bool # (/=) :: HyperParameterTuningJobConfig -> HyperParameterTuningJobConfig -> Bool #
Read HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods readsPrec :: Int -> ReadS HyperParameterTuningJobConfig # readList :: ReadS [HyperParameterTuningJobConfig] # readPrec :: ReadPrec HyperParameterTuningJobConfig # readListPrec :: ReadPrec [HyperParameterTuningJobConfig] #
Show HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods showsPrec :: Int -> HyperParameterTuningJobConfig -> ShowS # show :: HyperParameterTuningJobConfig -> String # showList :: [HyperParameterTuningJobConfig] -> ShowS #
Generic HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Associated Types type Rep HyperParameterTuningJobConfig :: Type -> Type # Methods from :: HyperParameterTuningJobConfig -> Rep HyperParameterTuningJobConfig x # to :: Rep HyperParameterTuningJobConfig x -> HyperParameterTuningJobConfig #
NFData HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods rnf :: HyperParameterTuningJobConfig -> () #
Hashable HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods hashWithSalt :: Int -> HyperParameterTuningJobConfig -> Int # hash :: HyperParameterTuningJobConfig -> Int #
ToJSON HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods toJSON :: HyperParameterTuningJobConfig -> Value # toEncoding :: HyperParameterTuningJobConfig -> Encoding # toJSONList :: [HyperParameterTuningJobConfig] -> Value # toEncodingList :: [HyperParameterTuningJobConfig] -> Encoding #
FromJSON HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig Methods parseJSON :: Value -> Parser HyperParameterTuningJobConfig # parseJSONList :: Value -> Parser [HyperParameterTuningJobConfig] #
type Rep HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.Forecast.Types.HyperParameterTuningJobConfig type Rep HyperParameterTuningJobConfig = D1 ('MetaData "HyperParameterTuningJobConfig" "Amazonka.Forecast.Types.HyperParameterTuningJobConfig" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "HyperParameterTuningJobConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "parameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ParameterRanges))))

newHyperParameterTuningJobConfig :: HyperParameterTuningJobConfig Source #

Create a value of HyperParameterTuningJobConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:parameterRanges:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_parameterRanges - Specifies the ranges of valid values for the hyperparameters.

hyperParameterTuningJobConfig_parameterRanges :: Lens' HyperParameterTuningJobConfig (Maybe ParameterRanges) Source #

Specifies the ranges of valid values for the hyperparameters.