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.Transcribe.Types.LanguageModel

Description

Synopsis

data LanguageModel = LanguageModel' {
- failureReason :: Maybe Text
- languageCode :: Maybe CLMLanguageCode
- modelName :: Maybe Text
- lastModifiedTime :: Maybe POSIX
- upgradeAvailability :: Maybe Bool
- inputDataConfig :: Maybe InputDataConfig
- baseModelName :: Maybe BaseModelName
- modelStatus :: Maybe ModelStatus
- createTime :: Maybe POSIX
}
newLanguageModel :: LanguageModel
languageModel_failureReason :: Lens' LanguageModel (Maybe Text)
languageModel_languageCode :: Lens' LanguageModel (Maybe CLMLanguageCode)
languageModel_modelName :: Lens' LanguageModel (Maybe Text)
languageModel_lastModifiedTime :: Lens' LanguageModel (Maybe UTCTime)
languageModel_upgradeAvailability :: Lens' LanguageModel (Maybe Bool)
languageModel_inputDataConfig :: Lens' LanguageModel (Maybe InputDataConfig)
languageModel_baseModelName :: Lens' LanguageModel (Maybe BaseModelName)
languageModel_modelStatus :: Lens' LanguageModel (Maybe ModelStatus)
languageModel_createTime :: Lens' LanguageModel (Maybe UTCTime)

Documentation

data LanguageModel Source #

The structure used to describe a custom language model.

See: newLanguageModel smart constructor.

Constructors

LanguageModel'

Fields

failureReason :: Maybe Text
The reason why the custom language model couldn't be created.
languageCode :: Maybe CLMLanguageCode
The language code you used to create your custom language model.
modelName :: Maybe Text
The name of the custom language model.
lastModifiedTime :: Maybe POSIX
The most recent time the custom language model was modified.
upgradeAvailability :: Maybe Bool
Whether the base model used for the custom language model is up to date. If this field is true then you are running the most up-to-date version of the base model in your custom language model.
inputDataConfig :: Maybe InputDataConfig
The data access role and Amazon S3 prefixes for the input files used to train the custom language model.
baseModelName :: Maybe BaseModelName
The Amazon Transcribe standard language model, or base model used to create the custom language model.
modelStatus :: Maybe ModelStatus
The creation status of a custom language model. When the status is COMPLETED the model is ready for use.
createTime :: Maybe POSIX
The time the custom language model was created.

Instances

Instances details

Eq LanguageModel Source #
Instance details Defined in Amazonka.Transcribe.Types.LanguageModel Methods (==) :: LanguageModel -> LanguageModel -> Bool # (/=) :: LanguageModel -> LanguageModel -> Bool #
Read LanguageModel Source #
Instance details Defined in Amazonka.Transcribe.Types.LanguageModel Methods readsPrec :: Int -> ReadS LanguageModel # readList :: ReadS [LanguageModel] # readPrec :: ReadPrec LanguageModel # readListPrec :: ReadPrec [LanguageModel] #
Show LanguageModel Source #
Instance details Defined in Amazonka.Transcribe.Types.LanguageModel Methods showsPrec :: Int -> LanguageModel -> ShowS # show :: LanguageModel -> String # showList :: [LanguageModel] -> ShowS #
Generic LanguageModel Source #
Instance details Defined in Amazonka.Transcribe.Types.LanguageModel Associated Types type Rep LanguageModel :: Type -> Type # Methods from :: LanguageModel -> Rep LanguageModel x # to :: Rep LanguageModel x -> LanguageModel #
NFData LanguageModel Source #
Instance details Defined in Amazonka.Transcribe.Types.LanguageModel Methods rnf :: LanguageModel -> () #
Hashable LanguageModel Source #
Instance details Defined in Amazonka.Transcribe.Types.LanguageModel Methods hashWithSalt :: Int -> LanguageModel -> Int # hash :: LanguageModel -> Int #
FromJSON LanguageModel Source #
Instance details Defined in Amazonka.Transcribe.Types.LanguageModel Methods parseJSON :: Value -> Parser LanguageModel # parseJSONList :: Value -> Parser [LanguageModel] #
type Rep LanguageModel Source #
Instance details Defined in Amazonka.Transcribe.Types.LanguageModel type Rep LanguageModel = D1 ('MetaData "LanguageModel" "Amazonka.Transcribe.Types.LanguageModel" "libZSservicesZSamazonka-transcribeZSamazonka-transcribe" 'False) (C1 ('MetaCons "LanguageModel'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "languageCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CLMLanguageCode))) :: (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: ((S1 ('MetaSel ('Just "upgradeAvailability") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InputDataConfig))) :: (S1 ('MetaSel ('Just "baseModelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BaseModelName)) :: (S1 ('MetaSel ('Just "modelStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelStatus)) :: S1 ('MetaSel ('Just "createTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))))))

newLanguageModel :: LanguageModel Source #

Create a value of LanguageModel 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:failureReason:LanguageModel', languageModel_failureReason - The reason why the custom language model couldn't be created.

$sel:languageCode:LanguageModel', languageModel_languageCode - The language code you used to create your custom language model.

$sel:modelName:LanguageModel', languageModel_modelName - The name of the custom language model.

$sel:lastModifiedTime:LanguageModel', languageModel_lastModifiedTime - The most recent time the custom language model was modified.

$sel:upgradeAvailability:LanguageModel', languageModel_upgradeAvailability - Whether the base model used for the custom language model is up to date. If this field is true then you are running the most up-to-date version of the base model in your custom language model.

$sel:inputDataConfig:LanguageModel', languageModel_inputDataConfig - The data access role and Amazon S3 prefixes for the input files used to train the custom language model.

$sel:baseModelName:LanguageModel', languageModel_baseModelName - The Amazon Transcribe standard language model, or base model used to create the custom language model.

$sel:modelStatus:LanguageModel', languageModel_modelStatus - The creation status of a custom language model. When the status is COMPLETED the model is ready for use.

$sel:createTime:LanguageModel', languageModel_createTime - The time the custom language model was created.

languageModel_failureReason :: Lens' LanguageModel (Maybe Text) Source #

The reason why the custom language model couldn't be created.

languageModel_languageCode :: Lens' LanguageModel (Maybe CLMLanguageCode) Source #

The language code you used to create your custom language model.

languageModel_modelName :: Lens' LanguageModel (Maybe Text) Source #

The name of the custom language model.

languageModel_lastModifiedTime :: Lens' LanguageModel (Maybe UTCTime) Source #

The most recent time the custom language model was modified.

languageModel_upgradeAvailability :: Lens' LanguageModel (Maybe Bool) Source #

Whether the base model used for the custom language model is up to date. If this field is true then you are running the most up-to-date version of the base model in your custom language model.

languageModel_inputDataConfig :: Lens' LanguageModel (Maybe InputDataConfig) Source #

The data access role and Amazon S3 prefixes for the input files used to train the custom language model.

languageModel_baseModelName :: Lens' LanguageModel (Maybe BaseModelName) Source #

The Amazon Transcribe standard language model, or base model used to create the custom language model.

languageModel_modelStatus :: Lens' LanguageModel (Maybe ModelStatus) Source #

The creation status of a custom language model. When the status is COMPLETED the model is ready for use.

languageModel_createTime :: Lens' LanguageModel (Maybe UTCTime) Source #

The time the custom language model was created.