Network.Google.Prediction.Types

Service Configuration

predictionService :: ServiceConfig

Default request referring to version 'v1.6' of the Prediction API. This contains the host and root path used as a starting point for constructing service requests.

OAuth Scopes

cloudPlatformScope :: Proxy '["https://www.googleapis.com/auth/cloud-platform"]

View and manage your data across Google Cloud Platform services

storageReadOnlyScope :: Proxy '["https://www.googleapis.com/auth/devstorage.read_only"]

View your data in Google Cloud Storage

storageReadWriteScope :: Proxy '["https://www.googleapis.com/auth/devstorage.read_write"]

Manage your data in Google Cloud Storage

predictionScope :: Proxy '["https://www.googleapis.com/auth/prediction"]

Manage your data in the Google Prediction API

storageFullControlScope :: Proxy '["https://www.googleapis.com/auth/devstorage.full_control"]

Manage your data and permissions in Google Cloud Storage

Insert2ModelInfo

data Insert2ModelInfo

Model metadata.

See: insert2ModelInfo smart constructor.

Instances

Eq Insert2ModelInfo

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: Insert2ModelInfo -> Insert2ModelInfo -> Bool

(/=) :: Insert2ModelInfo -> Insert2ModelInfo -> Bool

Data Insert2ModelInfo

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> Insert2ModelInfo -> c Insert2ModelInfo

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c Insert2ModelInfo

toConstr :: Insert2ModelInfo -> Constr

dataTypeOf :: Insert2ModelInfo -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c Insert2ModelInfo)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c Insert2ModelInfo)

gmapT :: (forall b. Data b => b -> b) -> Insert2ModelInfo -> Insert2ModelInfo

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> Insert2ModelInfo -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> Insert2ModelInfo -> r

gmapQ :: (forall d. Data d => d -> u) -> Insert2ModelInfo -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> Insert2ModelInfo -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> Insert2ModelInfo -> m Insert2ModelInfo

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> Insert2ModelInfo -> m Insert2ModelInfo

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> Insert2ModelInfo -> m Insert2ModelInfo

Show Insert2ModelInfo

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> Insert2ModelInfo -> ShowS

show :: Insert2ModelInfo -> String

showList :: [Insert2ModelInfo] -> ShowS

Generic Insert2ModelInfo

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep Insert2ModelInfo :: Type -> Type

Methods

from :: Insert2ModelInfo -> Rep Insert2ModelInfo x

to :: Rep Insert2ModelInfo x -> Insert2ModelInfo

ToJSON Insert2ModelInfo

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: Insert2ModelInfo -> Value

toEncoding :: Insert2ModelInfo -> Encoding

toJSONList :: [Insert2ModelInfo] -> Value

toEncodingList :: [Insert2ModelInfo] -> Encoding

FromJSON Insert2ModelInfo

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser Insert2ModelInfo

parseJSONList :: Value -> Parser [Insert2ModelInfo]

type Rep Insert2ModelInfo

Defined in Network.Google.Prediction.Types.Product

type Rep Insert2ModelInfo = D1 (MetaData "Insert2ModelInfo" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "Insert2ModelInfo'" PrefixI True) ((S1 (MetaSel (Just "_imiModelType") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_imiClassWeightedAccuracy") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_imiClassificationAccuracy") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 (MetaSel (Just "_imiMeanSquaredError") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_imiNumberLabels") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64))) :*: S1 (MetaSel (Just "_imiNumberInstances") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64)))))))

insert2ModelInfo :: Insert2ModelInfo

Creates a value of Insert2ModelInfo with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• imiModelType
• imiClassWeightedAccuracy
• imiClassificationAccuracy
• imiMeanSquaredError
• imiNumberLabels
• imiNumberInstances

imiModelType :: Lens' Insert2ModelInfo (Maybe Text)

Type of predictive model (CLASSIFICATION or REGRESSION).

imiClassWeightedAccuracy :: Lens' Insert2ModelInfo (Maybe Text)

Estimated accuracy of model taking utility weights into account (Categorical models only).

imiClassificationAccuracy :: Lens' Insert2ModelInfo (Maybe Text)

A number between 0.0 and 1.0, where 1.0 is 100% accurate. This is an estimate, based on the amount and quality of the training data, of the estimated prediction accuracy. You can use this is a guide to decide whether the results are accurate enough for your needs. This estimate will be more reliable if your real input data is similar to your training data (Categorical models only).

imiMeanSquaredError :: Lens' Insert2ModelInfo (Maybe Text)

An estimated mean squared error. The can be used to measure the quality of the predicted model (Regression models only).

imiNumberLabels :: Lens' Insert2ModelInfo (Maybe Int64)

Number of class labels in the trained model (Categorical models only).

imiNumberInstances :: Lens' Insert2ModelInfo (Maybe Int64)

Number of valid data instances used in the trained model.

AnalyzeModelDescriptionConfusionMatrixRowTotals

data AnalyzeModelDescriptionConfusionMatrixRowTotals

A list of the confusion matrix row totals.

See: analyzeModelDescriptionConfusionMatrixRowTotals smart constructor.

Instances

Eq AnalyzeModelDescriptionConfusionMatrixRowTotals

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeModelDescriptionConfusionMatrixRowTotals -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> Bool

(/=) :: AnalyzeModelDescriptionConfusionMatrixRowTotals -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> Bool

Data AnalyzeModelDescriptionConfusionMatrixRowTotals

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> c AnalyzeModelDescriptionConfusionMatrixRowTotals

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeModelDescriptionConfusionMatrixRowTotals

toConstr :: AnalyzeModelDescriptionConfusionMatrixRowTotals -> Constr

dataTypeOf :: AnalyzeModelDescriptionConfusionMatrixRowTotals -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeModelDescriptionConfusionMatrixRowTotals)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeModelDescriptionConfusionMatrixRowTotals)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> AnalyzeModelDescriptionConfusionMatrixRowTotals

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> m AnalyzeModelDescriptionConfusionMatrixRowTotals

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> m AnalyzeModelDescriptionConfusionMatrixRowTotals

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> m AnalyzeModelDescriptionConfusionMatrixRowTotals

Show AnalyzeModelDescriptionConfusionMatrixRowTotals

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeModelDescriptionConfusionMatrixRowTotals -> ShowS

show :: AnalyzeModelDescriptionConfusionMatrixRowTotals -> String

showList :: [AnalyzeModelDescriptionConfusionMatrixRowTotals] -> ShowS

Generic AnalyzeModelDescriptionConfusionMatrixRowTotals

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeModelDescriptionConfusionMatrixRowTotals :: Type -> Type

Methods

from :: AnalyzeModelDescriptionConfusionMatrixRowTotals -> Rep AnalyzeModelDescriptionConfusionMatrixRowTotals x

to :: Rep AnalyzeModelDescriptionConfusionMatrixRowTotals x -> AnalyzeModelDescriptionConfusionMatrixRowTotals

ToJSON AnalyzeModelDescriptionConfusionMatrixRowTotals

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeModelDescriptionConfusionMatrixRowTotals -> Value

toEncoding :: AnalyzeModelDescriptionConfusionMatrixRowTotals -> Encoding

toJSONList :: [AnalyzeModelDescriptionConfusionMatrixRowTotals] -> Value

toEncodingList :: [AnalyzeModelDescriptionConfusionMatrixRowTotals] -> Encoding

FromJSON AnalyzeModelDescriptionConfusionMatrixRowTotals

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeModelDescriptionConfusionMatrixRowTotals

parseJSONList :: Value -> Parser [AnalyzeModelDescriptionConfusionMatrixRowTotals]

type Rep AnalyzeModelDescriptionConfusionMatrixRowTotals

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeModelDescriptionConfusionMatrixRowTotals = D1 (MetaData "AnalyzeModelDescriptionConfusionMatrixRowTotals" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" True) (C1 (MetaCons "AnalyzeModelDescriptionConfusionMatrixRowTotals'" PrefixI True) (S1 (MetaSel (Just "_amdcmrtAddtional") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (HashMap Text Text))))

analyzeModelDescriptionConfusionMatrixRowTotals

Arguments

:: HashMap Text Text

amdcmrtAddtional

-> AnalyzeModelDescriptionConfusionMatrixRowTotals

Creates a value of AnalyzeModelDescriptionConfusionMatrixRowTotals with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• amdcmrtAddtional

amdcmrtAddtional :: Lens' AnalyzeModelDescriptionConfusionMatrixRowTotals (HashMap Text Text)

Insert

data Insert

Instances

Eq Insert

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: Insert -> Insert -> Bool

(/=) :: Insert -> Insert -> Bool

Data Insert

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> Insert -> c Insert

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c Insert

toConstr :: Insert -> Constr

dataTypeOf :: Insert -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c Insert)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c Insert)

gmapT :: (forall b. Data b => b -> b) -> Insert -> Insert

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> Insert -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> Insert -> r

gmapQ :: (forall d. Data d => d -> u) -> Insert -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> Insert -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> Insert -> m Insert

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> Insert -> m Insert

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> Insert -> m Insert

Show Insert

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> Insert -> ShowS

show :: Insert -> String

showList :: [Insert] -> ShowS

Generic Insert

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep Insert :: Type -> Type

Methods

from :: Insert -> Rep Insert x

to :: Rep Insert x -> Insert

ToJSON Insert

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: Insert -> Value

toEncoding :: Insert -> Encoding

toJSONList :: [Insert] -> Value

toEncodingList :: [Insert] -> Encoding

FromJSON Insert

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser Insert

parseJSONList :: Value -> Parser [Insert]

type Rep Insert

Defined in Network.Google.Prediction.Types.Product

type Rep Insert = D1 (MetaData "Insert" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "Insert'" PrefixI True) (((S1 (MetaSel (Just "_iStorageDataLocation") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_iModelType") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 (MetaSel (Just "_iTrainingInstances") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [InsertTrainingInstancesItem])) :*: S1 (MetaSel (Just "_iUtility") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [InsertUtilityItem])))) :*: ((S1 (MetaSel (Just "_iStoragePMMLModelLocation") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_iSourceModel") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 (MetaSel (Just "_iId") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_iStoragePMMLLocation") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))))

insert :: Insert

Creates a value of Insert with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• iStorageDataLocation
• iModelType
• iTrainingInstances
• iUtility
• iStoragePMMLModelLocation
• iSourceModel
• iId
• iStoragePMMLLocation

iStorageDataLocation :: Lens' Insert (Maybe Text)

Google storage location of the training data file.

iModelType :: Lens' Insert (Maybe Text)

Type of predictive model (classification or regression).

iTrainingInstances :: Lens' Insert [InsertTrainingInstancesItem]

Instances to train model on.

iUtility :: Lens' Insert [InsertUtilityItem]

A class weighting function, which allows the importance weights for class labels to be specified (Categorical models only).

iStoragePMMLModelLocation :: Lens' Insert (Maybe Text)

Google storage location of the pmml model file.

iSourceModel :: Lens' Insert (Maybe Text)

The Id of the model to be copied over.

iId :: Lens' Insert (Maybe Text)

The unique name for the predictive model.

iStoragePMMLLocation :: Lens' Insert (Maybe Text)

Google storage location of the preprocessing pmml file.

List

data List

Instances

Eq List

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: List -> List -> Bool

(/=) :: List -> List -> Bool

Data List

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> List -> c List

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c List

toConstr :: List -> Constr

dataTypeOf :: List -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c List)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c List)

gmapT :: (forall b. Data b => b -> b) -> List -> List

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> List -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> List -> r

gmapQ :: (forall d. Data d => d -> u) -> List -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> List -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> List -> m List

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> List -> m List

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> List -> m List

Show List

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> List -> ShowS

show :: List -> String

showList :: [List] -> ShowS

Generic List

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep List :: Type -> Type

Methods

from :: List -> Rep List x

to :: Rep List x -> List

ToJSON List

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: List -> Value

toEncoding :: List -> Encoding

toJSONList :: [List] -> Value

toEncodingList :: [List] -> Encoding

FromJSON List

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser List

parseJSONList :: Value -> Parser [List]

type Rep List

Defined in Network.Google.Prediction.Types.Product

type Rep List = D1 (MetaData "List" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "List'" PrefixI True) ((S1 (MetaSel (Just "_lNextPageToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_lKind") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text)) :*: (S1 (MetaSel (Just "_lItems") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [Insert2])) :*: S1 (MetaSel (Just "_lSelfLink") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))))

list :: List

Creates a value of List with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• lNextPageToken
• lKind
• lItems
• lSelfLink

lNextPageToken :: Lens' List (Maybe Text)

Pagination token to fetch the next page, if one exists.

lKind :: Lens' List Text

What kind of resource this is.

lItems :: Lens' List [Insert2]

List of models.

lSelfLink :: Lens' List (Maybe Text)

A URL to re-request this resource.

InsertUtilityItem

data InsertUtilityItem

Class label (string).

See: insertUtilityItem smart constructor.

Instances

Eq InsertUtilityItem

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: InsertUtilityItem -> InsertUtilityItem -> Bool

(/=) :: InsertUtilityItem -> InsertUtilityItem -> Bool

Data InsertUtilityItem

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> InsertUtilityItem -> c InsertUtilityItem

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c InsertUtilityItem

toConstr :: InsertUtilityItem -> Constr

dataTypeOf :: InsertUtilityItem -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c InsertUtilityItem)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c InsertUtilityItem)

gmapT :: (forall b. Data b => b -> b) -> InsertUtilityItem -> InsertUtilityItem

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> InsertUtilityItem -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> InsertUtilityItem -> r

gmapQ :: (forall d. Data d => d -> u) -> InsertUtilityItem -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> InsertUtilityItem -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> InsertUtilityItem -> m InsertUtilityItem

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> InsertUtilityItem -> m InsertUtilityItem

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> InsertUtilityItem -> m InsertUtilityItem

Show InsertUtilityItem

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> InsertUtilityItem -> ShowS

show :: InsertUtilityItem -> String

showList :: [InsertUtilityItem] -> ShowS

Generic InsertUtilityItem

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep InsertUtilityItem :: Type -> Type

Methods

from :: InsertUtilityItem -> Rep InsertUtilityItem x

to :: Rep InsertUtilityItem x -> InsertUtilityItem

ToJSON InsertUtilityItem

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: InsertUtilityItem -> Value

toEncoding :: InsertUtilityItem -> Encoding

toJSONList :: [InsertUtilityItem] -> Value

toEncodingList :: [InsertUtilityItem] -> Encoding

FromJSON InsertUtilityItem

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser InsertUtilityItem

parseJSONList :: Value -> Parser [InsertUtilityItem]

type Rep InsertUtilityItem

Defined in Network.Google.Prediction.Types.Product

type Rep InsertUtilityItem = D1 (MetaData "InsertUtilityItem" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" True) (C1 (MetaCons "InsertUtilityItem'" PrefixI True) (S1 (MetaSel (Just "_iuiAddtional") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (HashMap Text (Textual Double)))))

insertUtilityItem

Arguments

:: HashMap Text Double

iuiAddtional

-> InsertUtilityItem

Creates a value of InsertUtilityItem with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• iuiAddtional

iuiAddtional :: Lens' InsertUtilityItem (HashMap Text Double)

Insert2

data Insert2

Instances

Eq Insert2

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: Insert2 -> Insert2 -> Bool

(/=) :: Insert2 -> Insert2 -> Bool

Data Insert2

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> Insert2 -> c Insert2

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c Insert2

toConstr :: Insert2 -> Constr

dataTypeOf :: Insert2 -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c Insert2)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c Insert2)

gmapT :: (forall b. Data b => b -> b) -> Insert2 -> Insert2

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> Insert2 -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> Insert2 -> r

gmapQ :: (forall d. Data d => d -> u) -> Insert2 -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> Insert2 -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> Insert2 -> m Insert2

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> Insert2 -> m Insert2

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> Insert2 -> m Insert2

Show Insert2

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> Insert2 -> ShowS

show :: Insert2 -> String

showList :: [Insert2] -> ShowS

Generic Insert2

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep Insert2 :: Type -> Type

Methods

from :: Insert2 -> Rep Insert2 x

to :: Rep Insert2 x -> Insert2

ToJSON Insert2

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: Insert2 -> Value

toEncoding :: Insert2 -> Encoding

toJSONList :: [Insert2] -> Value

toEncodingList :: [Insert2] -> Encoding

FromJSON Insert2

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser Insert2

parseJSONList :: Value -> Parser [Insert2]

type Rep Insert2

Defined in Network.Google.Prediction.Types.Product

type Rep Insert2 = D1 (MetaData "Insert2" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "Insert2'" PrefixI True) (((S1 (MetaSel (Just "_insStorageDataLocation") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_insModelType") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 (MetaSel (Just "_insKind") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text) :*: (S1 (MetaSel (Just "_insCreated") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe DateTime')) :*: S1 (MetaSel (Just "_insTrainingComplete") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe DateTime'))))) :*: ((S1 (MetaSel (Just "_insSelfLink") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_insTrainingStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_insStoragePMMLModelLocation") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 (MetaSel (Just "_insId") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_insStoragePMMLLocation") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_insModelInfo") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Insert2ModelInfo)))))))

insert2 :: Insert2

Creates a value of Insert2 with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• insStorageDataLocation
• insModelType
• insKind
• insCreated
• insTrainingComplete
• insSelfLink
• insTrainingStatus
• insStoragePMMLModelLocation
• insId
• insStoragePMMLLocation
• insModelInfo

insStorageDataLocation :: Lens' Insert2 (Maybe Text)

Google storage location of the training data file.

insModelType :: Lens' Insert2 (Maybe Text)

Type of predictive model (CLASSIFICATION or REGRESSION).

insKind :: Lens' Insert2 Text

What kind of resource this is.

insCreated :: Lens' Insert2 (Maybe UTCTime)

Insert time of the model (as a RFC 3339 timestamp).

insTrainingComplete :: Lens' Insert2 (Maybe UTCTime)

Training completion time (as a RFC 3339 timestamp).

insSelfLink :: Lens' Insert2 (Maybe Text)

A URL to re-request this resource.

insTrainingStatus :: Lens' Insert2 (Maybe Text)

The current status of the training job. This can be one of following: RUNNING; DONE; ERROR; ERROR: TRAINING JOB NOT FOUND

insStoragePMMLModelLocation :: Lens' Insert2 (Maybe Text)

Google storage location of the pmml model file.

insId :: Lens' Insert2 (Maybe Text)

The unique name for the predictive model.

insStoragePMMLLocation :: Lens' Insert2 (Maybe Text)

Google storage location of the preprocessing pmml file.

insModelInfo :: Lens' Insert2 (Maybe Insert2ModelInfo)

Model metadata.

InsertTrainingInstancesItem

data InsertTrainingInstancesItem

Instances

Eq InsertTrainingInstancesItem

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: InsertTrainingInstancesItem -> InsertTrainingInstancesItem -> Bool

(/=) :: InsertTrainingInstancesItem -> InsertTrainingInstancesItem -> Bool

Data InsertTrainingInstancesItem

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> InsertTrainingInstancesItem -> c InsertTrainingInstancesItem

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c InsertTrainingInstancesItem

toConstr :: InsertTrainingInstancesItem -> Constr

dataTypeOf :: InsertTrainingInstancesItem -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c InsertTrainingInstancesItem)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c InsertTrainingInstancesItem)

gmapT :: (forall b. Data b => b -> b) -> InsertTrainingInstancesItem -> InsertTrainingInstancesItem

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> InsertTrainingInstancesItem -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> InsertTrainingInstancesItem -> r

gmapQ :: (forall d. Data d => d -> u) -> InsertTrainingInstancesItem -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> InsertTrainingInstancesItem -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> InsertTrainingInstancesItem -> m InsertTrainingInstancesItem

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> InsertTrainingInstancesItem -> m InsertTrainingInstancesItem

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> InsertTrainingInstancesItem -> m InsertTrainingInstancesItem

Show InsertTrainingInstancesItem

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> InsertTrainingInstancesItem -> ShowS

show :: InsertTrainingInstancesItem -> String

showList :: [InsertTrainingInstancesItem] -> ShowS

Generic InsertTrainingInstancesItem

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep InsertTrainingInstancesItem :: Type -> Type

Methods

from :: InsertTrainingInstancesItem -> Rep InsertTrainingInstancesItem x

to :: Rep InsertTrainingInstancesItem x -> InsertTrainingInstancesItem

ToJSON InsertTrainingInstancesItem

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: InsertTrainingInstancesItem -> Value

toEncoding :: InsertTrainingInstancesItem -> Encoding

toJSONList :: [InsertTrainingInstancesItem] -> Value

toEncodingList :: [InsertTrainingInstancesItem] -> Encoding

FromJSON InsertTrainingInstancesItem

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser InsertTrainingInstancesItem

parseJSONList :: Value -> Parser [InsertTrainingInstancesItem]

type Rep InsertTrainingInstancesItem

Defined in Network.Google.Prediction.Types.Product

type Rep InsertTrainingInstancesItem = D1 (MetaData "InsertTrainingInstancesItem" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "InsertTrainingInstancesItem'" PrefixI True) (S1 (MetaSel (Just "_itiiCSVInstance") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [JSONValue])) :*: S1 (MetaSel (Just "_itiiOutput") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))

insertTrainingInstancesItem :: InsertTrainingInstancesItem

Creates a value of InsertTrainingInstancesItem with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• itiiCSVInstance
• itiiOutput

itiiCSVInstance :: Lens' InsertTrainingInstancesItem [JSONValue]

The input features for this instance.

itiiOutput :: Lens' InsertTrainingInstancesItem (Maybe Text)

The generic output value - could be regression or class label.

InputInput

data InputInput

Input to the model for a prediction.

See: inputInput smart constructor.

Instances

Eq InputInput

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: InputInput -> InputInput -> Bool

(/=) :: InputInput -> InputInput -> Bool

Data InputInput

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> InputInput -> c InputInput

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c InputInput

toConstr :: InputInput -> Constr

dataTypeOf :: InputInput -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c InputInput)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c InputInput)

gmapT :: (forall b. Data b => b -> b) -> InputInput -> InputInput

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> InputInput -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> InputInput -> r

gmapQ :: (forall d. Data d => d -> u) -> InputInput -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> InputInput -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> InputInput -> m InputInput

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> InputInput -> m InputInput

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> InputInput -> m InputInput

Show InputInput

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> InputInput -> ShowS

show :: InputInput -> String

showList :: [InputInput] -> ShowS

Generic InputInput

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep InputInput :: Type -> Type

Methods

from :: InputInput -> Rep InputInput x

to :: Rep InputInput x -> InputInput

ToJSON InputInput

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: InputInput -> Value

toEncoding :: InputInput -> Encoding

toJSONList :: [InputInput] -> Value

toEncodingList :: [InputInput] -> Encoding

FromJSON InputInput

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser InputInput

parseJSONList :: Value -> Parser [InputInput]

type Rep InputInput

Defined in Network.Google.Prediction.Types.Product

type Rep InputInput = D1 (MetaData "InputInput" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" True) (C1 (MetaCons "InputInput'" PrefixI True) (S1 (MetaSel (Just "_iiCSVInstance") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (Maybe [JSONValue]))))

inputInput :: InputInput

Creates a value of InputInput with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• iiCSVInstance

iiCSVInstance :: Lens' InputInput [JSONValue]

A list of input features, these can be strings or doubles.

AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

data AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

Instances

Eq AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> Bool

(/=) :: AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> Bool

Data AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> c AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

toConstr :: AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> Constr

dataTypeOf :: AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> m AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> m AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> m AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

Show AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> ShowS

show :: AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> String

showList :: [AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem] -> ShowS

Generic AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem :: Type -> Type

Methods

from :: AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> Rep AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem x

to :: Rep AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem x -> AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

ToJSON AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> Value

toEncoding :: AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem -> Encoding

toJSONList :: [AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem] -> Value

toEncodingList :: [AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem] -> Encoding

FromJSON AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

parseJSONList :: Value -> Parser [AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem]

type Rep AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem = D1 (MetaData "AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem'" PrefixI True) (S1 (MetaSel (Just "_addficviValue") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_addficviCount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64)))))

analyzeDataDescriptionFeaturesItemCategoricalValuesItem :: AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

Creates a value of AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• addficviValue
• addficviCount

addficviValue :: Lens' AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem (Maybe Text)

The category name.

addficviCount :: Lens' AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem (Maybe Int64)

Number of times this feature had this value.

AnalyzeDataDescriptionFeaturesItemNumeric

data AnalyzeDataDescriptionFeaturesItemNumeric

Description of the numeric values of this feature.

See: analyzeDataDescriptionFeaturesItemNumeric smart constructor.

Instances

Eq AnalyzeDataDescriptionFeaturesItemNumeric

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeDataDescriptionFeaturesItemNumeric -> AnalyzeDataDescriptionFeaturesItemNumeric -> Bool

(/=) :: AnalyzeDataDescriptionFeaturesItemNumeric -> AnalyzeDataDescriptionFeaturesItemNumeric -> Bool

Data AnalyzeDataDescriptionFeaturesItemNumeric

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeDataDescriptionFeaturesItemNumeric -> c AnalyzeDataDescriptionFeaturesItemNumeric

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeDataDescriptionFeaturesItemNumeric

toConstr :: AnalyzeDataDescriptionFeaturesItemNumeric -> Constr

dataTypeOf :: AnalyzeDataDescriptionFeaturesItemNumeric -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeDataDescriptionFeaturesItemNumeric)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeDataDescriptionFeaturesItemNumeric)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeDataDescriptionFeaturesItemNumeric -> AnalyzeDataDescriptionFeaturesItemNumeric

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionFeaturesItemNumeric -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionFeaturesItemNumeric -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeDataDescriptionFeaturesItemNumeric -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeDataDescriptionFeaturesItemNumeric -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemNumeric -> m AnalyzeDataDescriptionFeaturesItemNumeric

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemNumeric -> m AnalyzeDataDescriptionFeaturesItemNumeric

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemNumeric -> m AnalyzeDataDescriptionFeaturesItemNumeric

Show AnalyzeDataDescriptionFeaturesItemNumeric

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeDataDescriptionFeaturesItemNumeric -> ShowS

show :: AnalyzeDataDescriptionFeaturesItemNumeric -> String

showList :: [AnalyzeDataDescriptionFeaturesItemNumeric] -> ShowS

Generic AnalyzeDataDescriptionFeaturesItemNumeric

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeDataDescriptionFeaturesItemNumeric :: Type -> Type

Methods

from :: AnalyzeDataDescriptionFeaturesItemNumeric -> Rep AnalyzeDataDescriptionFeaturesItemNumeric x

to :: Rep AnalyzeDataDescriptionFeaturesItemNumeric x -> AnalyzeDataDescriptionFeaturesItemNumeric

ToJSON AnalyzeDataDescriptionFeaturesItemNumeric

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeDataDescriptionFeaturesItemNumeric -> Value

toEncoding :: AnalyzeDataDescriptionFeaturesItemNumeric -> Encoding

toJSONList :: [AnalyzeDataDescriptionFeaturesItemNumeric] -> Value

toEncodingList :: [AnalyzeDataDescriptionFeaturesItemNumeric] -> Encoding

FromJSON AnalyzeDataDescriptionFeaturesItemNumeric

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeDataDescriptionFeaturesItemNumeric

parseJSONList :: Value -> Parser [AnalyzeDataDescriptionFeaturesItemNumeric]

type Rep AnalyzeDataDescriptionFeaturesItemNumeric

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionFeaturesItemNumeric = D1 (MetaData "AnalyzeDataDescriptionFeaturesItemNumeric" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "AnalyzeDataDescriptionFeaturesItemNumeric'" PrefixI True) (S1 (MetaSel (Just "_addfinMean") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_addfinCount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64))) :*: S1 (MetaSel (Just "_addfinVariance") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))))

analyzeDataDescriptionFeaturesItemNumeric :: AnalyzeDataDescriptionFeaturesItemNumeric

Creates a value of AnalyzeDataDescriptionFeaturesItemNumeric with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• addfinMean
• addfinCount
• addfinVariance

addfinMean :: Lens' AnalyzeDataDescriptionFeaturesItemNumeric (Maybe Text)

Mean of the numeric values of this feature in the data set.

addfinCount :: Lens' AnalyzeDataDescriptionFeaturesItemNumeric (Maybe Int64)

Number of numeric values for this feature in the data set.

addfinVariance :: Lens' AnalyzeDataDescriptionFeaturesItemNumeric (Maybe Text)

Variance of the numeric values of this feature in the data set.

Input

data Input

Instances

Eq Input

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: Input -> Input -> Bool

(/=) :: Input -> Input -> Bool

Data Input

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> Input -> c Input

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c Input

toConstr :: Input -> Constr

dataTypeOf :: Input -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c Input)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c Input)

gmapT :: (forall b. Data b => b -> b) -> Input -> Input

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> Input -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> Input -> r

gmapQ :: (forall d. Data d => d -> u) -> Input -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> Input -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> Input -> m Input

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> Input -> m Input

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> Input -> m Input

Show Input

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> Input -> ShowS

show :: Input -> String

showList :: [Input] -> ShowS

Generic Input

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep Input :: Type -> Type

Methods

from :: Input -> Rep Input x

to :: Rep Input x -> Input

ToJSON Input

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: Input -> Value

toEncoding :: Input -> Encoding

toJSONList :: [Input] -> Value

toEncodingList :: [Input] -> Encoding

FromJSON Input

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser Input

parseJSONList :: Value -> Parser [Input]

type Rep Input

Defined in Network.Google.Prediction.Types.Product

type Rep Input = D1 (MetaData "Input" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" True) (C1 (MetaCons "Input'" PrefixI True) (S1 (MetaSel (Just "_iInput") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (Maybe InputInput))))

input :: Input

Creates a value of Input with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• iInput

iInput :: Lens' Input (Maybe InputInput)

Input to the model for a prediction.

AnalyzeDataDescriptionFeaturesItemCategorical

data AnalyzeDataDescriptionFeaturesItemCategorical

Description of the categorical values of this feature.

See: analyzeDataDescriptionFeaturesItemCategorical smart constructor.

Instances

Eq AnalyzeDataDescriptionFeaturesItemCategorical

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeDataDescriptionFeaturesItemCategorical -> AnalyzeDataDescriptionFeaturesItemCategorical -> Bool

(/=) :: AnalyzeDataDescriptionFeaturesItemCategorical -> AnalyzeDataDescriptionFeaturesItemCategorical -> Bool

Data AnalyzeDataDescriptionFeaturesItemCategorical

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeDataDescriptionFeaturesItemCategorical -> c AnalyzeDataDescriptionFeaturesItemCategorical

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeDataDescriptionFeaturesItemCategorical

toConstr :: AnalyzeDataDescriptionFeaturesItemCategorical -> Constr

dataTypeOf :: AnalyzeDataDescriptionFeaturesItemCategorical -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeDataDescriptionFeaturesItemCategorical)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeDataDescriptionFeaturesItemCategorical)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeDataDescriptionFeaturesItemCategorical -> AnalyzeDataDescriptionFeaturesItemCategorical

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionFeaturesItemCategorical -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionFeaturesItemCategorical -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeDataDescriptionFeaturesItemCategorical -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeDataDescriptionFeaturesItemCategorical -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemCategorical -> m AnalyzeDataDescriptionFeaturesItemCategorical

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemCategorical -> m AnalyzeDataDescriptionFeaturesItemCategorical

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemCategorical -> m AnalyzeDataDescriptionFeaturesItemCategorical

Show AnalyzeDataDescriptionFeaturesItemCategorical

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeDataDescriptionFeaturesItemCategorical -> ShowS

show :: AnalyzeDataDescriptionFeaturesItemCategorical -> String

showList :: [AnalyzeDataDescriptionFeaturesItemCategorical] -> ShowS

Generic AnalyzeDataDescriptionFeaturesItemCategorical

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeDataDescriptionFeaturesItemCategorical :: Type -> Type

Methods

from :: AnalyzeDataDescriptionFeaturesItemCategorical -> Rep AnalyzeDataDescriptionFeaturesItemCategorical x

to :: Rep AnalyzeDataDescriptionFeaturesItemCategorical x -> AnalyzeDataDescriptionFeaturesItemCategorical

ToJSON AnalyzeDataDescriptionFeaturesItemCategorical

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeDataDescriptionFeaturesItemCategorical -> Value

toEncoding :: AnalyzeDataDescriptionFeaturesItemCategorical -> Encoding

toJSONList :: [AnalyzeDataDescriptionFeaturesItemCategorical] -> Value

toEncodingList :: [AnalyzeDataDescriptionFeaturesItemCategorical] -> Encoding

FromJSON AnalyzeDataDescriptionFeaturesItemCategorical

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeDataDescriptionFeaturesItemCategorical

parseJSONList :: Value -> Parser [AnalyzeDataDescriptionFeaturesItemCategorical]

type Rep AnalyzeDataDescriptionFeaturesItemCategorical

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionFeaturesItemCategorical = D1 (MetaData "AnalyzeDataDescriptionFeaturesItemCategorical" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "AnalyzeDataDescriptionFeaturesItemCategorical'" PrefixI True) (S1 (MetaSel (Just "_addficValues") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem])) :*: S1 (MetaSel (Just "_addficCount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64)))))

analyzeDataDescriptionFeaturesItemCategorical :: AnalyzeDataDescriptionFeaturesItemCategorical

Creates a value of AnalyzeDataDescriptionFeaturesItemCategorical with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• addficValues
• addficCount

addficValues :: Lens' AnalyzeDataDescriptionFeaturesItemCategorical [AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem]

List of all the categories for this feature in the data set.

addficCount :: Lens' AnalyzeDataDescriptionFeaturesItemCategorical (Maybe Int64)

Number of categorical values for this feature in the data.

AnalyzeDataDescriptionOutputFeatureTextItem

data AnalyzeDataDescriptionOutputFeatureTextItem

Instances

Eq AnalyzeDataDescriptionOutputFeatureTextItem

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeDataDescriptionOutputFeatureTextItem -> AnalyzeDataDescriptionOutputFeatureTextItem -> Bool

(/=) :: AnalyzeDataDescriptionOutputFeatureTextItem -> AnalyzeDataDescriptionOutputFeatureTextItem -> Bool

Data AnalyzeDataDescriptionOutputFeatureTextItem

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeDataDescriptionOutputFeatureTextItem -> c AnalyzeDataDescriptionOutputFeatureTextItem

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeDataDescriptionOutputFeatureTextItem

toConstr :: AnalyzeDataDescriptionOutputFeatureTextItem -> Constr

dataTypeOf :: AnalyzeDataDescriptionOutputFeatureTextItem -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeDataDescriptionOutputFeatureTextItem)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeDataDescriptionOutputFeatureTextItem)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeDataDescriptionOutputFeatureTextItem -> AnalyzeDataDescriptionOutputFeatureTextItem

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionOutputFeatureTextItem -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionOutputFeatureTextItem -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeDataDescriptionOutputFeatureTextItem -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeDataDescriptionOutputFeatureTextItem -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionOutputFeatureTextItem -> m AnalyzeDataDescriptionOutputFeatureTextItem

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionOutputFeatureTextItem -> m AnalyzeDataDescriptionOutputFeatureTextItem

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionOutputFeatureTextItem -> m AnalyzeDataDescriptionOutputFeatureTextItem

Show AnalyzeDataDescriptionOutputFeatureTextItem

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeDataDescriptionOutputFeatureTextItem -> ShowS

show :: AnalyzeDataDescriptionOutputFeatureTextItem -> String

showList :: [AnalyzeDataDescriptionOutputFeatureTextItem] -> ShowS

Generic AnalyzeDataDescriptionOutputFeatureTextItem

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeDataDescriptionOutputFeatureTextItem :: Type -> Type

Methods

from :: AnalyzeDataDescriptionOutputFeatureTextItem -> Rep AnalyzeDataDescriptionOutputFeatureTextItem x

to :: Rep AnalyzeDataDescriptionOutputFeatureTextItem x -> AnalyzeDataDescriptionOutputFeatureTextItem

ToJSON AnalyzeDataDescriptionOutputFeatureTextItem

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeDataDescriptionOutputFeatureTextItem -> Value

toEncoding :: AnalyzeDataDescriptionOutputFeatureTextItem -> Encoding

toJSONList :: [AnalyzeDataDescriptionOutputFeatureTextItem] -> Value

toEncodingList :: [AnalyzeDataDescriptionOutputFeatureTextItem] -> Encoding

FromJSON AnalyzeDataDescriptionOutputFeatureTextItem

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeDataDescriptionOutputFeatureTextItem

parseJSONList :: Value -> Parser [AnalyzeDataDescriptionOutputFeatureTextItem]

type Rep AnalyzeDataDescriptionOutputFeatureTextItem

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionOutputFeatureTextItem = D1 (MetaData "AnalyzeDataDescriptionOutputFeatureTextItem" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "AnalyzeDataDescriptionOutputFeatureTextItem'" PrefixI True) (S1 (MetaSel (Just "_addoftiValue") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_addoftiCount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64)))))

analyzeDataDescriptionOutputFeatureTextItem :: AnalyzeDataDescriptionOutputFeatureTextItem

Creates a value of AnalyzeDataDescriptionOutputFeatureTextItem with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• addoftiValue
• addoftiCount

addoftiValue :: Lens' AnalyzeDataDescriptionOutputFeatureTextItem (Maybe Text)

The output label.

addoftiCount :: Lens' AnalyzeDataDescriptionOutputFeatureTextItem (Maybe Int64)

Number of times the output label occurred in the data set.

OutputOutputMultiItem

data OutputOutputMultiItem

Instances

Eq OutputOutputMultiItem

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: OutputOutputMultiItem -> OutputOutputMultiItem -> Bool

(/=) :: OutputOutputMultiItem -> OutputOutputMultiItem -> Bool

Data OutputOutputMultiItem

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> OutputOutputMultiItem -> c OutputOutputMultiItem

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c OutputOutputMultiItem

toConstr :: OutputOutputMultiItem -> Constr

dataTypeOf :: OutputOutputMultiItem -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c OutputOutputMultiItem)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c OutputOutputMultiItem)

gmapT :: (forall b. Data b => b -> b) -> OutputOutputMultiItem -> OutputOutputMultiItem

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> OutputOutputMultiItem -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> OutputOutputMultiItem -> r

gmapQ :: (forall d. Data d => d -> u) -> OutputOutputMultiItem -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> OutputOutputMultiItem -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> OutputOutputMultiItem -> m OutputOutputMultiItem

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> OutputOutputMultiItem -> m OutputOutputMultiItem

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> OutputOutputMultiItem -> m OutputOutputMultiItem

Show OutputOutputMultiItem

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> OutputOutputMultiItem -> ShowS

show :: OutputOutputMultiItem -> String

showList :: [OutputOutputMultiItem] -> ShowS

Generic OutputOutputMultiItem

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep OutputOutputMultiItem :: Type -> Type

Methods

from :: OutputOutputMultiItem -> Rep OutputOutputMultiItem x

to :: Rep OutputOutputMultiItem x -> OutputOutputMultiItem

ToJSON OutputOutputMultiItem

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: OutputOutputMultiItem -> Value

toEncoding :: OutputOutputMultiItem -> Encoding

toJSONList :: [OutputOutputMultiItem] -> Value

toEncodingList :: [OutputOutputMultiItem] -> Encoding

FromJSON OutputOutputMultiItem

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser OutputOutputMultiItem

parseJSONList :: Value -> Parser [OutputOutputMultiItem]

type Rep OutputOutputMultiItem

Defined in Network.Google.Prediction.Types.Product

type Rep OutputOutputMultiItem = D1 (MetaData "OutputOutputMultiItem" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "OutputOutputMultiItem'" PrefixI True) (S1 (MetaSel (Just "_oomiScore") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_oomiLabel") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))

outputOutputMultiItem :: OutputOutputMultiItem

Creates a value of OutputOutputMultiItem with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• oomiScore
• oomiLabel

oomiScore :: Lens' OutputOutputMultiItem (Maybe Text)

The probability of the class label.

oomiLabel :: Lens' OutputOutputMultiItem (Maybe Text)

The class label.

Analyze

data Analyze

Instances

Eq Analyze

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: Analyze -> Analyze -> Bool

(/=) :: Analyze -> Analyze -> Bool

Data Analyze

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> Analyze -> c Analyze

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c Analyze

toConstr :: Analyze -> Constr

dataTypeOf :: Analyze -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c Analyze)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c Analyze)

gmapT :: (forall b. Data b => b -> b) -> Analyze -> Analyze

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> Analyze -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> Analyze -> r

gmapQ :: (forall d. Data d => d -> u) -> Analyze -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> Analyze -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> Analyze -> m Analyze

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> Analyze -> m Analyze

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> Analyze -> m Analyze

Show Analyze

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> Analyze -> ShowS

show :: Analyze -> String

showList :: [Analyze] -> ShowS

Generic Analyze

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep Analyze :: Type -> Type

Methods

from :: Analyze -> Rep Analyze x

to :: Rep Analyze x -> Analyze

ToJSON Analyze

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: Analyze -> Value

toEncoding :: Analyze -> Encoding

toJSONList :: [Analyze] -> Value

toEncodingList :: [Analyze] -> Encoding

FromJSON Analyze

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser Analyze

parseJSONList :: Value -> Parser [Analyze]

type Rep Analyze

Defined in Network.Google.Prediction.Types.Product

type Rep Analyze = D1 (MetaData "Analyze" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "Analyze'" PrefixI True) ((S1 (MetaSel (Just "_aKind") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text) :*: (S1 (MetaSel (Just "_aModelDescription") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe AnalyzeModelDescription)) :*: S1 (MetaSel (Just "_aSelfLink") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 (MetaSel (Just "_aId") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_aErrors") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [AnalyzeErrorsItem])) :*: S1 (MetaSel (Just "_aDataDescription") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe AnalyzeDataDescription))))))

analyze :: Analyze

Creates a value of Analyze with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• aKind
• aModelDescription
• aSelfLink
• aId
• aErrors
• aDataDescription

aKind :: Lens' Analyze Text

What kind of resource this is.

aModelDescription :: Lens' Analyze (Maybe AnalyzeModelDescription)

Description of the model.

aSelfLink :: Lens' Analyze (Maybe Text)

A URL to re-request this resource.

aId :: Lens' Analyze (Maybe Text)

The unique name for the predictive model.

aErrors :: Lens' Analyze [AnalyzeErrorsItem]

List of errors with the data.

aDataDescription :: Lens' Analyze (Maybe AnalyzeDataDescription)

Description of the data the model was trained on.

AnalyzeModelDescriptionConfusionMatrix

data AnalyzeModelDescriptionConfusionMatrix

An output confusion matrix. This shows an estimate for how this model will do in predictions. This is first indexed by the true class label. For each true class label, this provides a pair {predicted_label, count}, where count is the estimated number of times the model will predict the predicted label given the true label. Will not output if more then 100 classes (Categorical models only).

See: analyzeModelDescriptionConfusionMatrix smart constructor.

Instances

Eq AnalyzeModelDescriptionConfusionMatrix

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeModelDescriptionConfusionMatrix -> AnalyzeModelDescriptionConfusionMatrix -> Bool

(/=) :: AnalyzeModelDescriptionConfusionMatrix -> AnalyzeModelDescriptionConfusionMatrix -> Bool

Data AnalyzeModelDescriptionConfusionMatrix

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeModelDescriptionConfusionMatrix -> c AnalyzeModelDescriptionConfusionMatrix

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeModelDescriptionConfusionMatrix

toConstr :: AnalyzeModelDescriptionConfusionMatrix -> Constr

dataTypeOf :: AnalyzeModelDescriptionConfusionMatrix -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeModelDescriptionConfusionMatrix)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeModelDescriptionConfusionMatrix)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeModelDescriptionConfusionMatrix -> AnalyzeModelDescriptionConfusionMatrix

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeModelDescriptionConfusionMatrix -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeModelDescriptionConfusionMatrix -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeModelDescriptionConfusionMatrix -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeModelDescriptionConfusionMatrix -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeModelDescriptionConfusionMatrix -> m AnalyzeModelDescriptionConfusionMatrix

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeModelDescriptionConfusionMatrix -> m AnalyzeModelDescriptionConfusionMatrix

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeModelDescriptionConfusionMatrix -> m AnalyzeModelDescriptionConfusionMatrix

Show AnalyzeModelDescriptionConfusionMatrix

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeModelDescriptionConfusionMatrix -> ShowS

show :: AnalyzeModelDescriptionConfusionMatrix -> String

showList :: [AnalyzeModelDescriptionConfusionMatrix] -> ShowS

Generic AnalyzeModelDescriptionConfusionMatrix

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeModelDescriptionConfusionMatrix :: Type -> Type

Methods

from :: AnalyzeModelDescriptionConfusionMatrix -> Rep AnalyzeModelDescriptionConfusionMatrix x

to :: Rep AnalyzeModelDescriptionConfusionMatrix x -> AnalyzeModelDescriptionConfusionMatrix

ToJSON AnalyzeModelDescriptionConfusionMatrix

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeModelDescriptionConfusionMatrix -> Value

toEncoding :: AnalyzeModelDescriptionConfusionMatrix -> Encoding

toJSONList :: [AnalyzeModelDescriptionConfusionMatrix] -> Value

toEncodingList :: [AnalyzeModelDescriptionConfusionMatrix] -> Encoding

FromJSON AnalyzeModelDescriptionConfusionMatrix

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeModelDescriptionConfusionMatrix

parseJSONList :: Value -> Parser [AnalyzeModelDescriptionConfusionMatrix]

type Rep AnalyzeModelDescriptionConfusionMatrix

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeModelDescriptionConfusionMatrix = D1 (MetaData "AnalyzeModelDescriptionConfusionMatrix" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" True) (C1 (MetaCons "AnalyzeModelDescriptionConfusionMatrix'" PrefixI True) (S1 (MetaSel (Just "_amdcmAddtional") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (HashMap Text AnalyzeModelDescriptionConfusionMatrixAdditional))))

analyzeModelDescriptionConfusionMatrix

Arguments

:: HashMap Text AnalyzeModelDescriptionConfusionMatrixAdditional

amdcmAddtional

-> AnalyzeModelDescriptionConfusionMatrix

Creates a value of AnalyzeModelDescriptionConfusionMatrix with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• amdcmAddtional

amdcmAddtional :: Lens' AnalyzeModelDescriptionConfusionMatrix (HashMap Text AnalyzeModelDescriptionConfusionMatrixAdditional)

Confusion matrix information for the true class label.

Output

data Output

Instances

Eq Output

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: Output -> Output -> Bool

(/=) :: Output -> Output -> Bool

Data Output

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> Output -> c Output

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c Output

toConstr :: Output -> Constr

dataTypeOf :: Output -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c Output)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c Output)

gmapT :: (forall b. Data b => b -> b) -> Output -> Output

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> Output -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> Output -> r

gmapQ :: (forall d. Data d => d -> u) -> Output -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> Output -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> Output -> m Output

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> Output -> m Output

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> Output -> m Output

Show Output

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> Output -> ShowS

show :: Output -> String

showList :: [Output] -> ShowS

Generic Output

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep Output :: Type -> Type

Methods

from :: Output -> Rep Output x

to :: Rep Output x -> Output

ToJSON Output

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: Output -> Value

toEncoding :: Output -> Encoding

toJSONList :: [Output] -> Value

toEncodingList :: [Output] -> Encoding

FromJSON Output

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser Output

parseJSONList :: Value -> Parser [Output]

type Rep Output

Defined in Network.Google.Prediction.Types.Product

type Rep Output = D1 (MetaData "Output" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "Output'" PrefixI True) ((S1 (MetaSel (Just "_oOutputValue") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_oKind") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text) :*: S1 (MetaSel (Just "_oOutputLabel") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 (MetaSel (Just "_oSelfLink") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_oId") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_oOutputMulti") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [OutputOutputMultiItem]))))))

output :: Output

Creates a value of Output with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• oOutputValue
• oKind
• oOutputLabel
• oSelfLink
• oId
• oOutputMulti

oOutputValue :: Lens' Output (Maybe Text)

The estimated regression value (Regression models only).

oKind :: Lens' Output Text

What kind of resource this is.

oOutputLabel :: Lens' Output (Maybe Text)

The most likely class label (Categorical models only).

oSelfLink :: Lens' Output (Maybe Text)

A URL to re-request this resource.

oId :: Lens' Output (Maybe Text)

The unique name for the predictive model.

oOutputMulti :: Lens' Output [OutputOutputMultiItem]

A list of class labels with their estimated probabilities (Categorical models only).

AnalyzeDataDescriptionOutputFeatureNumeric

data AnalyzeDataDescriptionOutputFeatureNumeric

Description of the output values in the data set.

See: analyzeDataDescriptionOutputFeatureNumeric smart constructor.

Instances

Eq AnalyzeDataDescriptionOutputFeatureNumeric

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeDataDescriptionOutputFeatureNumeric -> AnalyzeDataDescriptionOutputFeatureNumeric -> Bool

(/=) :: AnalyzeDataDescriptionOutputFeatureNumeric -> AnalyzeDataDescriptionOutputFeatureNumeric -> Bool

Data AnalyzeDataDescriptionOutputFeatureNumeric

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeDataDescriptionOutputFeatureNumeric -> c AnalyzeDataDescriptionOutputFeatureNumeric

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeDataDescriptionOutputFeatureNumeric

toConstr :: AnalyzeDataDescriptionOutputFeatureNumeric -> Constr

dataTypeOf :: AnalyzeDataDescriptionOutputFeatureNumeric -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeDataDescriptionOutputFeatureNumeric)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeDataDescriptionOutputFeatureNumeric)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeDataDescriptionOutputFeatureNumeric -> AnalyzeDataDescriptionOutputFeatureNumeric

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionOutputFeatureNumeric -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionOutputFeatureNumeric -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeDataDescriptionOutputFeatureNumeric -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeDataDescriptionOutputFeatureNumeric -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionOutputFeatureNumeric -> m AnalyzeDataDescriptionOutputFeatureNumeric

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionOutputFeatureNumeric -> m AnalyzeDataDescriptionOutputFeatureNumeric

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionOutputFeatureNumeric -> m AnalyzeDataDescriptionOutputFeatureNumeric

Show AnalyzeDataDescriptionOutputFeatureNumeric

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeDataDescriptionOutputFeatureNumeric -> ShowS

show :: AnalyzeDataDescriptionOutputFeatureNumeric -> String

showList :: [AnalyzeDataDescriptionOutputFeatureNumeric] -> ShowS

Generic AnalyzeDataDescriptionOutputFeatureNumeric

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeDataDescriptionOutputFeatureNumeric :: Type -> Type

Methods

from :: AnalyzeDataDescriptionOutputFeatureNumeric -> Rep AnalyzeDataDescriptionOutputFeatureNumeric x

to :: Rep AnalyzeDataDescriptionOutputFeatureNumeric x -> AnalyzeDataDescriptionOutputFeatureNumeric

ToJSON AnalyzeDataDescriptionOutputFeatureNumeric

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeDataDescriptionOutputFeatureNumeric -> Value

toEncoding :: AnalyzeDataDescriptionOutputFeatureNumeric -> Encoding

toJSONList :: [AnalyzeDataDescriptionOutputFeatureNumeric] -> Value

toEncodingList :: [AnalyzeDataDescriptionOutputFeatureNumeric] -> Encoding

FromJSON AnalyzeDataDescriptionOutputFeatureNumeric

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeDataDescriptionOutputFeatureNumeric

parseJSONList :: Value -> Parser [AnalyzeDataDescriptionOutputFeatureNumeric]

type Rep AnalyzeDataDescriptionOutputFeatureNumeric

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionOutputFeatureNumeric = D1 (MetaData "AnalyzeDataDescriptionOutputFeatureNumeric" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "AnalyzeDataDescriptionOutputFeatureNumeric'" PrefixI True) (S1 (MetaSel (Just "_addofnMean") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 (MetaSel (Just "_addofnCount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64))) :*: S1 (MetaSel (Just "_addofnVariance") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))))

analyzeDataDescriptionOutputFeatureNumeric :: AnalyzeDataDescriptionOutputFeatureNumeric

Creates a value of AnalyzeDataDescriptionOutputFeatureNumeric with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• addofnMean
• addofnCount
• addofnVariance

addofnMean :: Lens' AnalyzeDataDescriptionOutputFeatureNumeric (Maybe Text)

Mean of the output values in the data set.

addofnCount :: Lens' AnalyzeDataDescriptionOutputFeatureNumeric (Maybe Int64)

Number of numeric output values in the data set.

addofnVariance :: Lens' AnalyzeDataDescriptionOutputFeatureNumeric (Maybe Text)

Variance of the output values in the data set.

AnalyzeErrorsItem

data AnalyzeErrorsItem

Instances

Eq AnalyzeErrorsItem

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeErrorsItem -> AnalyzeErrorsItem -> Bool

(/=) :: AnalyzeErrorsItem -> AnalyzeErrorsItem -> Bool

Data AnalyzeErrorsItem

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeErrorsItem -> c AnalyzeErrorsItem

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeErrorsItem

toConstr :: AnalyzeErrorsItem -> Constr

dataTypeOf :: AnalyzeErrorsItem -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeErrorsItem)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeErrorsItem)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeErrorsItem -> AnalyzeErrorsItem

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeErrorsItem -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeErrorsItem -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeErrorsItem -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeErrorsItem -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeErrorsItem -> m AnalyzeErrorsItem

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeErrorsItem -> m AnalyzeErrorsItem

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeErrorsItem -> m AnalyzeErrorsItem

Show AnalyzeErrorsItem

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeErrorsItem -> ShowS

show :: AnalyzeErrorsItem -> String

showList :: [AnalyzeErrorsItem] -> ShowS

Generic AnalyzeErrorsItem

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeErrorsItem :: Type -> Type

Methods

from :: AnalyzeErrorsItem -> Rep AnalyzeErrorsItem x

to :: Rep AnalyzeErrorsItem x -> AnalyzeErrorsItem

ToJSON AnalyzeErrorsItem

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeErrorsItem -> Value

toEncoding :: AnalyzeErrorsItem -> Encoding

toJSONList :: [AnalyzeErrorsItem] -> Value

toEncodingList :: [AnalyzeErrorsItem] -> Encoding

FromJSON AnalyzeErrorsItem

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeErrorsItem

parseJSONList :: Value -> Parser [AnalyzeErrorsItem]

type Rep AnalyzeErrorsItem

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeErrorsItem = D1 (MetaData "AnalyzeErrorsItem" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" True) (C1 (MetaCons "AnalyzeErrorsItem'" PrefixI True) (S1 (MetaSel (Just "_aeiAddtional") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (HashMap Text Text))))

analyzeErrorsItem

Arguments

:: HashMap Text Text

aeiAddtional

-> AnalyzeErrorsItem

Creates a value of AnalyzeErrorsItem with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• aeiAddtional

aeiAddtional :: Lens' AnalyzeErrorsItem (HashMap Text Text)

Error level followed by a detailed error message.

AnalyzeDataDescription

data AnalyzeDataDescription

Description of the data the model was trained on.

See: analyzeDataDescription smart constructor.

Instances

Eq AnalyzeDataDescription

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeDataDescription -> AnalyzeDataDescription -> Bool

(/=) :: AnalyzeDataDescription -> AnalyzeDataDescription -> Bool

Data AnalyzeDataDescription

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeDataDescription -> c AnalyzeDataDescription

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeDataDescription

toConstr :: AnalyzeDataDescription -> Constr

dataTypeOf :: AnalyzeDataDescription -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeDataDescription)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeDataDescription)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeDataDescription -> AnalyzeDataDescription

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescription -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescription -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeDataDescription -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeDataDescription -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeDataDescription -> m AnalyzeDataDescription

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescription -> m AnalyzeDataDescription

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescription -> m AnalyzeDataDescription

Show AnalyzeDataDescription

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeDataDescription -> ShowS

show :: AnalyzeDataDescription -> String

showList :: [AnalyzeDataDescription] -> ShowS

Generic AnalyzeDataDescription

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeDataDescription :: Type -> Type

Methods

from :: AnalyzeDataDescription -> Rep AnalyzeDataDescription x

to :: Rep AnalyzeDataDescription x -> AnalyzeDataDescription

ToJSON AnalyzeDataDescription

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeDataDescription -> Value

toEncoding :: AnalyzeDataDescription -> Encoding

toJSONList :: [AnalyzeDataDescription] -> Value

toEncodingList :: [AnalyzeDataDescription] -> Encoding

FromJSON AnalyzeDataDescription

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeDataDescription

parseJSONList :: Value -> Parser [AnalyzeDataDescription]

type Rep AnalyzeDataDescription

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescription = D1 (MetaData "AnalyzeDataDescription" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "AnalyzeDataDescription'" PrefixI True) (S1 (MetaSel (Just "_addOutputFeature") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe AnalyzeDataDescriptionOutputFeature)) :*: S1 (MetaSel (Just "_addFeatures") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [AnalyzeDataDescriptionFeaturesItem]))))

analyzeDataDescription :: AnalyzeDataDescription

Creates a value of AnalyzeDataDescription with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• addOutputFeature
• addFeatures

addOutputFeature :: Lens' AnalyzeDataDescription (Maybe AnalyzeDataDescriptionOutputFeature)

Description of the output value or label.

addFeatures :: Lens' AnalyzeDataDescription [AnalyzeDataDescriptionFeaturesItem]

Description of the input features in the data set.

AnalyzeModelDescription

data AnalyzeModelDescription

Description of the model.

See: analyzeModelDescription smart constructor.

Instances

Eq AnalyzeModelDescription

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeModelDescription -> AnalyzeModelDescription -> Bool

(/=) :: AnalyzeModelDescription -> AnalyzeModelDescription -> Bool

Data AnalyzeModelDescription

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeModelDescription -> c AnalyzeModelDescription

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeModelDescription

toConstr :: AnalyzeModelDescription -> Constr

dataTypeOf :: AnalyzeModelDescription -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeModelDescription)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeModelDescription)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeModelDescription -> AnalyzeModelDescription

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeModelDescription -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeModelDescription -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeModelDescription -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeModelDescription -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeModelDescription -> m AnalyzeModelDescription

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeModelDescription -> m AnalyzeModelDescription

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeModelDescription -> m AnalyzeModelDescription

Show AnalyzeModelDescription

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeModelDescription -> ShowS

show :: AnalyzeModelDescription -> String

showList :: [AnalyzeModelDescription] -> ShowS

Generic AnalyzeModelDescription

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeModelDescription :: Type -> Type

Methods

from :: AnalyzeModelDescription -> Rep AnalyzeModelDescription x

to :: Rep AnalyzeModelDescription x -> AnalyzeModelDescription

ToJSON AnalyzeModelDescription

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeModelDescription -> Value

toEncoding :: AnalyzeModelDescription -> Encoding

toJSONList :: [AnalyzeModelDescription] -> Value

toEncodingList :: [AnalyzeModelDescription] -> Encoding

FromJSON AnalyzeModelDescription

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeModelDescription

parseJSONList :: Value -> Parser [AnalyzeModelDescription]

type Rep AnalyzeModelDescription

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeModelDescription = D1 (MetaData "AnalyzeModelDescription" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "AnalyzeModelDescription'" PrefixI True) (S1 (MetaSel (Just "_amdConfusionMatrixRowTotals") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe AnalyzeModelDescriptionConfusionMatrixRowTotals)) :*: (S1 (MetaSel (Just "_amdConfusionMatrix") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe AnalyzeModelDescriptionConfusionMatrix)) :*: S1 (MetaSel (Just "_amdModelInfo") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Insert2)))))

analyzeModelDescription :: AnalyzeModelDescription

Creates a value of AnalyzeModelDescription with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• amdConfusionMatrixRowTotals
• amdConfusionMatrix
• amdModelInfo

amdConfusionMatrixRowTotals :: Lens' AnalyzeModelDescription (Maybe AnalyzeModelDescriptionConfusionMatrixRowTotals)

A list of the confusion matrix row totals.

amdConfusionMatrix :: Lens' AnalyzeModelDescription (Maybe AnalyzeModelDescriptionConfusionMatrix)

An output confusion matrix. This shows an estimate for how this model will do in predictions. This is first indexed by the true class label. For each true class label, this provides a pair {predicted_label, count}, where count is the estimated number of times the model will predict the predicted label given the true label. Will not output if more then 100 classes (Categorical models only).

amdModelInfo :: Lens' AnalyzeModelDescription (Maybe Insert2)

Basic information about the model.

AnalyzeDataDescriptionFeaturesItemText

data AnalyzeDataDescriptionFeaturesItemText

Description of multiple-word text values of this feature.

See: analyzeDataDescriptionFeaturesItemText smart constructor.

Instances

Eq AnalyzeDataDescriptionFeaturesItemText

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeDataDescriptionFeaturesItemText -> AnalyzeDataDescriptionFeaturesItemText -> Bool

(/=) :: AnalyzeDataDescriptionFeaturesItemText -> AnalyzeDataDescriptionFeaturesItemText -> Bool

Data AnalyzeDataDescriptionFeaturesItemText

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeDataDescriptionFeaturesItemText -> c AnalyzeDataDescriptionFeaturesItemText

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeDataDescriptionFeaturesItemText

toConstr :: AnalyzeDataDescriptionFeaturesItemText -> Constr

dataTypeOf :: AnalyzeDataDescriptionFeaturesItemText -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeDataDescriptionFeaturesItemText)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeDataDescriptionFeaturesItemText)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeDataDescriptionFeaturesItemText -> AnalyzeDataDescriptionFeaturesItemText

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionFeaturesItemText -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionFeaturesItemText -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeDataDescriptionFeaturesItemText -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeDataDescriptionFeaturesItemText -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemText -> m AnalyzeDataDescriptionFeaturesItemText

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemText -> m AnalyzeDataDescriptionFeaturesItemText

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItemText -> m AnalyzeDataDescriptionFeaturesItemText

Show AnalyzeDataDescriptionFeaturesItemText

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeDataDescriptionFeaturesItemText -> ShowS

show :: AnalyzeDataDescriptionFeaturesItemText -> String

showList :: [AnalyzeDataDescriptionFeaturesItemText] -> ShowS

Generic AnalyzeDataDescriptionFeaturesItemText

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeDataDescriptionFeaturesItemText :: Type -> Type

Methods

from :: AnalyzeDataDescriptionFeaturesItemText -> Rep AnalyzeDataDescriptionFeaturesItemText x

to :: Rep AnalyzeDataDescriptionFeaturesItemText x -> AnalyzeDataDescriptionFeaturesItemText

ToJSON AnalyzeDataDescriptionFeaturesItemText

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeDataDescriptionFeaturesItemText -> Value

toEncoding :: AnalyzeDataDescriptionFeaturesItemText -> Encoding

toJSONList :: [AnalyzeDataDescriptionFeaturesItemText] -> Value

toEncodingList :: [AnalyzeDataDescriptionFeaturesItemText] -> Encoding

FromJSON AnalyzeDataDescriptionFeaturesItemText

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeDataDescriptionFeaturesItemText

parseJSONList :: Value -> Parser [AnalyzeDataDescriptionFeaturesItemText]

type Rep AnalyzeDataDescriptionFeaturesItemText

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionFeaturesItemText = D1 (MetaData "AnalyzeDataDescriptionFeaturesItemText" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" True) (C1 (MetaCons "AnalyzeDataDescriptionFeaturesItemText'" PrefixI True) (S1 (MetaSel (Just "_addfitCount") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (Maybe (Textual Int64)))))

analyzeDataDescriptionFeaturesItemText :: AnalyzeDataDescriptionFeaturesItemText

Creates a value of AnalyzeDataDescriptionFeaturesItemText with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• addfitCount

addfitCount :: Lens' AnalyzeDataDescriptionFeaturesItemText (Maybe Int64)

Number of multiple-word text values for this feature.

AnalyzeModelDescriptionConfusionMatrixAdditional

data AnalyzeModelDescriptionConfusionMatrixAdditional

Confusion matrix information for the true class label.

See: analyzeModelDescriptionConfusionMatrixAdditional smart constructor.

Instances

Eq AnalyzeModelDescriptionConfusionMatrixAdditional

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeModelDescriptionConfusionMatrixAdditional -> AnalyzeModelDescriptionConfusionMatrixAdditional -> Bool

(/=) :: AnalyzeModelDescriptionConfusionMatrixAdditional -> AnalyzeModelDescriptionConfusionMatrixAdditional -> Bool

Data AnalyzeModelDescriptionConfusionMatrixAdditional

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeModelDescriptionConfusionMatrixAdditional -> c AnalyzeModelDescriptionConfusionMatrixAdditional

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeModelDescriptionConfusionMatrixAdditional

toConstr :: AnalyzeModelDescriptionConfusionMatrixAdditional -> Constr

dataTypeOf :: AnalyzeModelDescriptionConfusionMatrixAdditional -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeModelDescriptionConfusionMatrixAdditional)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeModelDescriptionConfusionMatrixAdditional)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeModelDescriptionConfusionMatrixAdditional -> AnalyzeModelDescriptionConfusionMatrixAdditional

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeModelDescriptionConfusionMatrixAdditional -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeModelDescriptionConfusionMatrixAdditional -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeModelDescriptionConfusionMatrixAdditional -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeModelDescriptionConfusionMatrixAdditional -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeModelDescriptionConfusionMatrixAdditional -> m AnalyzeModelDescriptionConfusionMatrixAdditional

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeModelDescriptionConfusionMatrixAdditional -> m AnalyzeModelDescriptionConfusionMatrixAdditional

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeModelDescriptionConfusionMatrixAdditional -> m AnalyzeModelDescriptionConfusionMatrixAdditional

Show AnalyzeModelDescriptionConfusionMatrixAdditional

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeModelDescriptionConfusionMatrixAdditional -> ShowS

show :: AnalyzeModelDescriptionConfusionMatrixAdditional -> String

showList :: [AnalyzeModelDescriptionConfusionMatrixAdditional] -> ShowS

Generic AnalyzeModelDescriptionConfusionMatrixAdditional

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeModelDescriptionConfusionMatrixAdditional :: Type -> Type

Methods

from :: AnalyzeModelDescriptionConfusionMatrixAdditional -> Rep AnalyzeModelDescriptionConfusionMatrixAdditional x

to :: Rep AnalyzeModelDescriptionConfusionMatrixAdditional x -> AnalyzeModelDescriptionConfusionMatrixAdditional

ToJSON AnalyzeModelDescriptionConfusionMatrixAdditional

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeModelDescriptionConfusionMatrixAdditional -> Value

toEncoding :: AnalyzeModelDescriptionConfusionMatrixAdditional -> Encoding

toJSONList :: [AnalyzeModelDescriptionConfusionMatrixAdditional] -> Value

toEncodingList :: [AnalyzeModelDescriptionConfusionMatrixAdditional] -> Encoding

FromJSON AnalyzeModelDescriptionConfusionMatrixAdditional

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeModelDescriptionConfusionMatrixAdditional

parseJSONList :: Value -> Parser [AnalyzeModelDescriptionConfusionMatrixAdditional]

type Rep AnalyzeModelDescriptionConfusionMatrixAdditional

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeModelDescriptionConfusionMatrixAdditional = D1 (MetaData "AnalyzeModelDescriptionConfusionMatrixAdditional" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" True) (C1 (MetaCons "AnalyzeModelDescriptionConfusionMatrixAdditional'" PrefixI True) (S1 (MetaSel (Just "_amdcmaAddtional") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (HashMap Text Text))))

analyzeModelDescriptionConfusionMatrixAdditional

Arguments

:: HashMap Text Text

amdcmaAddtional

-> AnalyzeModelDescriptionConfusionMatrixAdditional

Creates a value of AnalyzeModelDescriptionConfusionMatrixAdditional with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• amdcmaAddtional

amdcmaAddtional :: Lens' AnalyzeModelDescriptionConfusionMatrixAdditional (HashMap Text Text)

Average number of times an instance with correct class label modelDescription.confusionMatrix.(key) was wrongfully classified as this label.

AnalyzeDataDescriptionFeaturesItem

data AnalyzeDataDescriptionFeaturesItem

Instances

Eq AnalyzeDataDescriptionFeaturesItem

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeDataDescriptionFeaturesItem -> AnalyzeDataDescriptionFeaturesItem -> Bool

(/=) :: AnalyzeDataDescriptionFeaturesItem -> AnalyzeDataDescriptionFeaturesItem -> Bool

Data AnalyzeDataDescriptionFeaturesItem

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeDataDescriptionFeaturesItem -> c AnalyzeDataDescriptionFeaturesItem

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeDataDescriptionFeaturesItem

toConstr :: AnalyzeDataDescriptionFeaturesItem -> Constr

dataTypeOf :: AnalyzeDataDescriptionFeaturesItem -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeDataDescriptionFeaturesItem)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeDataDescriptionFeaturesItem)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeDataDescriptionFeaturesItem -> AnalyzeDataDescriptionFeaturesItem

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionFeaturesItem -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionFeaturesItem -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeDataDescriptionFeaturesItem -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeDataDescriptionFeaturesItem -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItem -> m AnalyzeDataDescriptionFeaturesItem

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItem -> m AnalyzeDataDescriptionFeaturesItem

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionFeaturesItem -> m AnalyzeDataDescriptionFeaturesItem

Show AnalyzeDataDescriptionFeaturesItem

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeDataDescriptionFeaturesItem -> ShowS

show :: AnalyzeDataDescriptionFeaturesItem -> String

showList :: [AnalyzeDataDescriptionFeaturesItem] -> ShowS

Generic AnalyzeDataDescriptionFeaturesItem

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeDataDescriptionFeaturesItem :: Type -> Type

Methods

from :: AnalyzeDataDescriptionFeaturesItem -> Rep AnalyzeDataDescriptionFeaturesItem x

to :: Rep AnalyzeDataDescriptionFeaturesItem x -> AnalyzeDataDescriptionFeaturesItem

ToJSON AnalyzeDataDescriptionFeaturesItem

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeDataDescriptionFeaturesItem -> Value

toEncoding :: AnalyzeDataDescriptionFeaturesItem -> Encoding

toJSONList :: [AnalyzeDataDescriptionFeaturesItem] -> Value

toEncodingList :: [AnalyzeDataDescriptionFeaturesItem] -> Encoding

FromJSON AnalyzeDataDescriptionFeaturesItem

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeDataDescriptionFeaturesItem

parseJSONList :: Value -> Parser [AnalyzeDataDescriptionFeaturesItem]

type Rep AnalyzeDataDescriptionFeaturesItem

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionFeaturesItem = D1 (MetaData "AnalyzeDataDescriptionFeaturesItem" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "AnalyzeDataDescriptionFeaturesItem'" PrefixI True) ((S1 (MetaSel (Just "_addfiText") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe AnalyzeDataDescriptionFeaturesItemText)) :*: S1 (MetaSel (Just "_addfiNumeric") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe AnalyzeDataDescriptionFeaturesItemNumeric))) :*: (S1 (MetaSel (Just "_addfiIndex") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64))) :*: S1 (MetaSel (Just "_addfiCategorical") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe AnalyzeDataDescriptionFeaturesItemCategorical)))))

analyzeDataDescriptionFeaturesItem :: AnalyzeDataDescriptionFeaturesItem

Creates a value of AnalyzeDataDescriptionFeaturesItem with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• addfiText
• addfiNumeric
• addfiIndex
• addfiCategorical

addfiText :: Lens' AnalyzeDataDescriptionFeaturesItem (Maybe AnalyzeDataDescriptionFeaturesItemText)

Description of multiple-word text values of this feature.

addfiNumeric :: Lens' AnalyzeDataDescriptionFeaturesItem (Maybe AnalyzeDataDescriptionFeaturesItemNumeric)

Description of the numeric values of this feature.

addfiIndex :: Lens' AnalyzeDataDescriptionFeaturesItem (Maybe Int64)

The feature index.

addfiCategorical :: Lens' AnalyzeDataDescriptionFeaturesItem (Maybe AnalyzeDataDescriptionFeaturesItemCategorical)

Description of the categorical values of this feature.

Update

data Update

Instances

Eq Update

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: Update -> Update -> Bool

(/=) :: Update -> Update -> Bool

Data Update

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> Update -> c Update

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c Update

toConstr :: Update -> Constr

dataTypeOf :: Update -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c Update)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c Update)

gmapT :: (forall b. Data b => b -> b) -> Update -> Update

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> Update -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> Update -> r

gmapQ :: (forall d. Data d => d -> u) -> Update -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> Update -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> Update -> m Update

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> Update -> m Update

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> Update -> m Update

Show Update

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> Update -> ShowS

show :: Update -> String

showList :: [Update] -> ShowS

Generic Update

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep Update :: Type -> Type

Methods

from :: Update -> Rep Update x

to :: Rep Update x -> Update

ToJSON Update

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: Update -> Value

toEncoding :: Update -> Encoding

toJSONList :: [Update] -> Value

toEncodingList :: [Update] -> Encoding

FromJSON Update

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser Update

parseJSONList :: Value -> Parser [Update]

type Rep Update

Defined in Network.Google.Prediction.Types.Product

type Rep Update = D1 (MetaData "Update" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "Update'" PrefixI True) (S1 (MetaSel (Just "_uCSVInstance") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [JSONValue])) :*: S1 (MetaSel (Just "_uOutput") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))

update :: Update

Creates a value of Update with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• uCSVInstance
• uOutput

uCSVInstance :: Lens' Update [JSONValue]

The input features for this instance.

uOutput :: Lens' Update (Maybe Text)

The generic output value - could be regression or class label.

AnalyzeDataDescriptionOutputFeature

data AnalyzeDataDescriptionOutputFeature

Description of the output value or label.

See: analyzeDataDescriptionOutputFeature smart constructor.

Instances

Eq AnalyzeDataDescriptionOutputFeature

Defined in Network.Google.Prediction.Types.Product

Methods

(==) :: AnalyzeDataDescriptionOutputFeature -> AnalyzeDataDescriptionOutputFeature -> Bool

(/=) :: AnalyzeDataDescriptionOutputFeature -> AnalyzeDataDescriptionOutputFeature -> Bool

Data AnalyzeDataDescriptionOutputFeature

Defined in Network.Google.Prediction.Types.Product

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> AnalyzeDataDescriptionOutputFeature -> c AnalyzeDataDescriptionOutputFeature

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c AnalyzeDataDescriptionOutputFeature

toConstr :: AnalyzeDataDescriptionOutputFeature -> Constr

dataTypeOf :: AnalyzeDataDescriptionOutputFeature -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c AnalyzeDataDescriptionOutputFeature)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c AnalyzeDataDescriptionOutputFeature)

gmapT :: (forall b. Data b => b -> b) -> AnalyzeDataDescriptionOutputFeature -> AnalyzeDataDescriptionOutputFeature

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionOutputFeature -> r

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> AnalyzeDataDescriptionOutputFeature -> r

gmapQ :: (forall d. Data d => d -> u) -> AnalyzeDataDescriptionOutputFeature -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> AnalyzeDataDescriptionOutputFeature -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionOutputFeature -> m AnalyzeDataDescriptionOutputFeature

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionOutputFeature -> m AnalyzeDataDescriptionOutputFeature

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> AnalyzeDataDescriptionOutputFeature -> m AnalyzeDataDescriptionOutputFeature

Show AnalyzeDataDescriptionOutputFeature

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> AnalyzeDataDescriptionOutputFeature -> ShowS

show :: AnalyzeDataDescriptionOutputFeature -> String

showList :: [AnalyzeDataDescriptionOutputFeature] -> ShowS

Generic AnalyzeDataDescriptionOutputFeature

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeDataDescriptionOutputFeature :: Type -> Type

Methods

from :: AnalyzeDataDescriptionOutputFeature -> Rep AnalyzeDataDescriptionOutputFeature x

to :: Rep AnalyzeDataDescriptionOutputFeature x -> AnalyzeDataDescriptionOutputFeature

ToJSON AnalyzeDataDescriptionOutputFeature

Defined in Network.Google.Prediction.Types.Product

Methods

toJSON :: AnalyzeDataDescriptionOutputFeature -> Value

toEncoding :: AnalyzeDataDescriptionOutputFeature -> Encoding

toJSONList :: [AnalyzeDataDescriptionOutputFeature] -> Value

toEncodingList :: [AnalyzeDataDescriptionOutputFeature] -> Encoding

FromJSON AnalyzeDataDescriptionOutputFeature

Defined in Network.Google.Prediction.Types.Product

Methods

parseJSON :: Value -> Parser AnalyzeDataDescriptionOutputFeature

parseJSONList :: Value -> Parser [AnalyzeDataDescriptionOutputFeature]

type Rep AnalyzeDataDescriptionOutputFeature

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionOutputFeature = D1 (MetaData "AnalyzeDataDescriptionOutputFeature" "Network.Google.Prediction.Types.Product" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "AnalyzeDataDescriptionOutputFeature'" PrefixI True) (S1 (MetaSel (Just "_addofText") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [AnalyzeDataDescriptionOutputFeatureTextItem])) :*: S1 (MetaSel (Just "_addofNumeric") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe AnalyzeDataDescriptionOutputFeatureNumeric))))

analyzeDataDescriptionOutputFeature :: AnalyzeDataDescriptionOutputFeature

Creates a value of AnalyzeDataDescriptionOutputFeature with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

• addofText
• addofNumeric

addofText :: Lens' AnalyzeDataDescriptionOutputFeature [AnalyzeDataDescriptionOutputFeatureTextItem]

Description of the output labels in the data set.

addofNumeric :: Lens' AnalyzeDataDescriptionOutputFeature (Maybe AnalyzeDataDescriptionOutputFeatureNumeric)

Description of the output values in the data set.