gogol-prediction-0.4.0: Google Prediction SDK.

Copyright(c) 2015-2016 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone
LanguageHaskell2010

Network.Google.Prediction.Types

Contents

Description

 
Synopsis

Service Configuration

predictionService :: ServiceConfig Source #

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"] Source #

View and manage your data across Google Cloud Platform services

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

View your data in Google Cloud Storage

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

Manage your data in Google Cloud Storage

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

Manage your data in the Google Prediction API

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

Manage your data and permissions in Google Cloud Storage

Insert2ModelInfo

data Insert2ModelInfo Source #

Model metadata.

See: insert2ModelInfo smart constructor.

Instances
Eq Insert2ModelInfo Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data Insert2ModelInfo Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic Insert2ModelInfo Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep Insert2ModelInfo :: Type -> Type #

ToJSON Insert2ModelInfo Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON Insert2ModelInfo Source # 
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Defined in Network.Google.Prediction.Types.Product

type Rep Insert2ModelInfo Source # 
Instance details

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 Source #

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 :: Lens' Insert2ModelInfo (Maybe Text) Source #

Type of predictive model (CLASSIFICATION or REGRESSION).

imiClassWeightedAccuracy :: Lens' Insert2ModelInfo (Maybe Text) Source #

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

imiClassificationAccuracy :: Lens' Insert2ModelInfo (Maybe Text) Source #

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) Source #

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) Source #

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

imiNumberInstances :: Lens' Insert2ModelInfo (Maybe Int64) Source #

Number of valid data instances used in the trained model.

AnalyzeModelDescriptionConfusionMatrixRowTotals

data AnalyzeModelDescriptionConfusionMatrixRowTotals Source #

A list of the confusion matrix row totals.

See: analyzeModelDescriptionConfusionMatrixRowTotals smart constructor.

Instances
Eq AnalyzeModelDescriptionConfusionMatrixRowTotals Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeModelDescriptionConfusionMatrixRowTotals Source # 
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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 Source # 
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Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeModelDescriptionConfusionMatrixRowTotals Source # 
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Defined in Network.Google.Prediction.Types.Product

ToJSON AnalyzeModelDescriptionConfusionMatrixRowTotals Source # 
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FromJSON AnalyzeModelDescriptionConfusionMatrixRowTotals Source # 
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Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeModelDescriptionConfusionMatrixRowTotals Source # 
Instance details

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 Source #

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:

Insert

data Insert Source #

Instances
Eq Insert Source # 
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Defined in Network.Google.Prediction.Types.Product

Methods

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

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

Data Insert Source # 
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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 Source # 
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Defined in Network.Google.Prediction.Types.Product

Generic Insert Source # 
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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 Source # 
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FromJSON Insert Source # 
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type Rep Insert Source # 
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Defined in Network.Google.Prediction.Types.Product

insert :: Insert Source #

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 :: Lens' Insert (Maybe Text) Source #

Google storage location of the training data file.

iModelType :: Lens' Insert (Maybe Text) Source #

Type of predictive model (classification or regression).

iUtility :: Lens' Insert [InsertUtilityItem] Source #

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

iStoragePMMLModelLocation :: Lens' Insert (Maybe Text) Source #

Google storage location of the pmml model file.

iSourceModel :: Lens' Insert (Maybe Text) Source #

The Id of the model to be copied over.

iId :: Lens' Insert (Maybe Text) Source #

The unique name for the predictive model.

iStoragePMMLLocation :: Lens' Insert (Maybe Text) Source #

Google storage location of the preprocessing pmml file.

List

data List Source #

Instances
Eq List Source # 
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Defined in Network.Google.Prediction.Types.Product

Methods

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

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

Data List Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> List -> ShowS #

show :: List -> String #

showList :: [List] -> ShowS #

Generic List Source # 
Instance details

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 Source # 
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Defined in Network.Google.Prediction.Types.Product

FromJSON List Source # 
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type Rep List Source # 
Instance details

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 Source #

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 :: Lens' List (Maybe Text) Source #

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

lKind :: Lens' List Text Source #

What kind of resource this is.

lItems :: Lens' List [Insert2] Source #

List of models.

lSelfLink :: Lens' List (Maybe Text) Source #

A URL to re-request this resource.

InsertUtilityItem

data InsertUtilityItem Source #

Class label (string).

See: insertUtilityItem smart constructor.

Instances
Eq InsertUtilityItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data InsertUtilityItem Source # 
Instance details

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 Source # 
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Generic InsertUtilityItem Source # 
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Associated Types

type Rep InsertUtilityItem :: Type -> Type #

ToJSON InsertUtilityItem Source # 
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FromJSON InsertUtilityItem Source # 
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type Rep InsertUtilityItem Source # 
Instance details

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 Source #

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:

Insert2

data Insert2 Source #

Instances
Eq Insert2 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Methods

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

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

Data Insert2 Source # 
Instance details

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 Source # 
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Generic Insert2 Source # 
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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 Source # 
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FromJSON Insert2 Source # 
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type Rep Insert2 Source # 
Instance details

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insert2 :: Insert2 Source #

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 :: Lens' Insert2 (Maybe Text) Source #

Google storage location of the training data file.

insModelType :: Lens' Insert2 (Maybe Text) Source #

Type of predictive model (CLASSIFICATION or REGRESSION).

insKind :: Lens' Insert2 Text Source #

What kind of resource this is.

insCreated :: Lens' Insert2 (Maybe UTCTime) Source #

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

insTrainingComplete :: Lens' Insert2 (Maybe UTCTime) Source #

Training completion time (as a RFC 3339 timestamp).

insSelfLink :: Lens' Insert2 (Maybe Text) Source #

A URL to re-request this resource.

insTrainingStatus :: Lens' Insert2 (Maybe Text) Source #

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) Source #

Google storage location of the pmml model file.

insId :: Lens' Insert2 (Maybe Text) Source #

The unique name for the predictive model.

insStoragePMMLLocation :: Lens' Insert2 (Maybe Text) Source #

Google storage location of the preprocessing pmml file.

InsertTrainingInstancesItem

data InsertTrainingInstancesItem Source #

Instances
Eq InsertTrainingInstancesItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data InsertTrainingInstancesItem Source # 
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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 Source # 
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Defined in Network.Google.Prediction.Types.Product

Generic InsertTrainingInstancesItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep InsertTrainingInstancesItem :: Type -> Type #

ToJSON InsertTrainingInstancesItem Source # 
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FromJSON InsertTrainingInstancesItem Source # 
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type Rep InsertTrainingInstancesItem Source # 
Instance details

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 Source #

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 :: Lens' InsertTrainingInstancesItem [JSONValue] Source #

The input features for this instance.

itiiOutput :: Lens' InsertTrainingInstancesItem (Maybe Text) Source #

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

InputInput

data InputInput Source #

Input to the model for a prediction.

See: inputInput smart constructor.

Instances
Eq InputInput Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data InputInput Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic InputInput Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep InputInput :: Type -> Type #

ToJSON InputInput Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON InputInput Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep InputInput Source # 
Instance details

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 Source #

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 :: Lens' InputInput [JSONValue] Source #

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

AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem

data AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem Source #

Instances
Eq AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

ToJSON AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionFeaturesItemCategoricalValuesItem Source # 
Instance details

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 Source #

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:

AnalyzeDataDescriptionFeaturesItemNumeric

data AnalyzeDataDescriptionFeaturesItemNumeric Source #

Description of the numeric values of this feature.

See: analyzeDataDescriptionFeaturesItemNumeric smart constructor.

Instances
Eq AnalyzeDataDescriptionFeaturesItemNumeric Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeDataDescriptionFeaturesItemNumeric Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeDataDescriptionFeaturesItemNumeric Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

ToJSON AnalyzeDataDescriptionFeaturesItemNumeric Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeDataDescriptionFeaturesItemNumeric Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionFeaturesItemNumeric Source # 
Instance details

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 Source #

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 :: Lens' AnalyzeDataDescriptionFeaturesItemNumeric (Maybe Text) Source #

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

addfinCount :: Lens' AnalyzeDataDescriptionFeaturesItemNumeric (Maybe Int64) Source #

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

addfinVariance :: Lens' AnalyzeDataDescriptionFeaturesItemNumeric (Maybe Text) Source #

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

Input

data Input Source #

Instances
Eq Input Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Methods

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

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

Data Input Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Methods

showsPrec :: Int -> Input -> ShowS #

show :: Input -> String #

showList :: [Input] -> ShowS #

Generic Input Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON Input Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep Input Source # 
Instance details

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 Source #

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 :: Lens' Input (Maybe InputInput) Source #

Input to the model for a prediction.

AnalyzeDataDescriptionFeaturesItemCategorical

data AnalyzeDataDescriptionFeaturesItemCategorical Source #

Description of the categorical values of this feature.

See: analyzeDataDescriptionFeaturesItemCategorical smart constructor.

Instances
Eq AnalyzeDataDescriptionFeaturesItemCategorical Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeDataDescriptionFeaturesItemCategorical Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeDataDescriptionFeaturesItemCategorical Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

ToJSON AnalyzeDataDescriptionFeaturesItemCategorical Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeDataDescriptionFeaturesItemCategorical Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionFeaturesItemCategorical Source # 
Instance details

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 Source #

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:

addficCount :: Lens' AnalyzeDataDescriptionFeaturesItemCategorical (Maybe Int64) Source #

Number of categorical values for this feature in the data.

AnalyzeDataDescriptionOutputFeatureTextItem

data AnalyzeDataDescriptionOutputFeatureTextItem Source #

Instances
Eq AnalyzeDataDescriptionOutputFeatureTextItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeDataDescriptionOutputFeatureTextItem Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeDataDescriptionOutputFeatureTextItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

ToJSON AnalyzeDataDescriptionOutputFeatureTextItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeDataDescriptionOutputFeatureTextItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionOutputFeatureTextItem Source # 
Instance details

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 Source #

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:

addoftiCount :: Lens' AnalyzeDataDescriptionOutputFeatureTextItem (Maybe Int64) Source #

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

OutputOutputMultiItem

data OutputOutputMultiItem Source #

Instances
Eq OutputOutputMultiItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data OutputOutputMultiItem Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic OutputOutputMultiItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep OutputOutputMultiItem :: Type -> Type #

ToJSON OutputOutputMultiItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON OutputOutputMultiItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep OutputOutputMultiItem Source # 
Instance details

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 Source #

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 :: Lens' OutputOutputMultiItem (Maybe Text) Source #

The probability of the class label.

Analyze

data Analyze Source #

Instances
Eq Analyze Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Methods

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

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

Data Analyze Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic Analyze Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON Analyze Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep Analyze Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

analyze :: Analyze Source #

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 :: Lens' Analyze Text Source #

What kind of resource this is.

aSelfLink :: Lens' Analyze (Maybe Text) Source #

A URL to re-request this resource.

aId :: Lens' Analyze (Maybe Text) Source #

The unique name for the predictive model.

aErrors :: Lens' Analyze [AnalyzeErrorsItem] Source #

List of errors with the data.

aDataDescription :: Lens' Analyze (Maybe AnalyzeDataDescription) Source #

Description of the data the model was trained on.

AnalyzeModelDescriptionConfusionMatrix

data AnalyzeModelDescriptionConfusionMatrix Source #

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeModelDescriptionConfusionMatrix Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeModelDescriptionConfusionMatrix Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

ToJSON AnalyzeModelDescriptionConfusionMatrix Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeModelDescriptionConfusionMatrix Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeModelDescriptionConfusionMatrix Source # 
Instance details

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 Source #

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:

Output

data Output Source #

Instances
Eq Output Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Methods

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

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

Data Output Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic Output Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON Output Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep Output Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

output :: Output Source #

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 :: Lens' Output (Maybe Text) Source #

The estimated regression value (Regression models only).

oKind :: Lens' Output Text Source #

What kind of resource this is.

oOutputLabel :: Lens' Output (Maybe Text) Source #

The most likely class label (Categorical models only).

oSelfLink :: Lens' Output (Maybe Text) Source #

A URL to re-request this resource.

oId :: Lens' Output (Maybe Text) Source #

The unique name for the predictive model.

oOutputMulti :: Lens' Output [OutputOutputMultiItem] Source #

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

AnalyzeDataDescriptionOutputFeatureNumeric

data AnalyzeDataDescriptionOutputFeatureNumeric Source #

Description of the output values in the data set.

See: analyzeDataDescriptionOutputFeatureNumeric smart constructor.

Instances
Eq AnalyzeDataDescriptionOutputFeatureNumeric Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeDataDescriptionOutputFeatureNumeric Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeDataDescriptionOutputFeatureNumeric Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

ToJSON AnalyzeDataDescriptionOutputFeatureNumeric Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeDataDescriptionOutputFeatureNumeric Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionOutputFeatureNumeric Source # 
Instance details

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 Source #

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 :: Lens' AnalyzeDataDescriptionOutputFeatureNumeric (Maybe Text) Source #

Mean of the output values in the data set.

addofnCount :: Lens' AnalyzeDataDescriptionOutputFeatureNumeric (Maybe Int64) Source #

Number of numeric output values in the data set.

addofnVariance :: Lens' AnalyzeDataDescriptionOutputFeatureNumeric (Maybe Text) Source #

Variance of the output values in the data set.

AnalyzeErrorsItem

data AnalyzeErrorsItem Source #

Instances
Eq AnalyzeErrorsItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeErrorsItem Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeErrorsItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeErrorsItem :: Type -> Type #

ToJSON AnalyzeErrorsItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeErrorsItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeErrorsItem Source # 
Instance details

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 Source #

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 :: Lens' AnalyzeErrorsItem (HashMap Text Text) Source #

Error level followed by a detailed error message.

AnalyzeDataDescription

data AnalyzeDataDescription Source #

Description of the data the model was trained on.

See: analyzeDataDescription smart constructor.

Instances
Eq AnalyzeDataDescription Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeDataDescription Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeDataDescription Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeDataDescription :: Type -> Type #

ToJSON AnalyzeDataDescription Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeDataDescription Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescription Source # 
Instance details

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 Source #

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:

addFeatures :: Lens' AnalyzeDataDescription [AnalyzeDataDescriptionFeaturesItem] Source #

Description of the input features in the data set.

AnalyzeModelDescription

data AnalyzeModelDescription Source #

Description of the model.

See: analyzeModelDescription smart constructor.

Instances
Eq AnalyzeModelDescription Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeModelDescription Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeModelDescription Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeModelDescription :: Type -> Type #

ToJSON AnalyzeModelDescription Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeModelDescription Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeModelDescription Source # 
Instance details

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 Source #

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:

amdConfusionMatrix :: Lens' AnalyzeModelDescription (Maybe AnalyzeModelDescriptionConfusionMatrix) Source #

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) Source #

Basic information about the model.

AnalyzeDataDescriptionFeaturesItemText

data AnalyzeDataDescriptionFeaturesItemText Source #

Description of multiple-word text values of this feature.

See: analyzeDataDescriptionFeaturesItemText smart constructor.

Instances
Eq AnalyzeDataDescriptionFeaturesItemText Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeDataDescriptionFeaturesItemText Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeDataDescriptionFeaturesItemText Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

ToJSON AnalyzeDataDescriptionFeaturesItemText Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeDataDescriptionFeaturesItemText Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionFeaturesItemText Source # 
Instance details

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 Source #

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 :: Lens' AnalyzeDataDescriptionFeaturesItemText (Maybe Int64) Source #

Number of multiple-word text values for this feature.

AnalyzeModelDescriptionConfusionMatrixAdditional

data AnalyzeModelDescriptionConfusionMatrixAdditional Source #

Confusion matrix information for the true class label.

See: analyzeModelDescriptionConfusionMatrixAdditional smart constructor.

Instances
Eq AnalyzeModelDescriptionConfusionMatrixAdditional Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeModelDescriptionConfusionMatrixAdditional Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeModelDescriptionConfusionMatrixAdditional Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

ToJSON AnalyzeModelDescriptionConfusionMatrixAdditional Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeModelDescriptionConfusionMatrixAdditional Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeModelDescriptionConfusionMatrixAdditional Source # 
Instance details

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 Source #

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 :: Lens' AnalyzeModelDescriptionConfusionMatrixAdditional (HashMap Text Text) Source #

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

AnalyzeDataDescriptionFeaturesItem

data AnalyzeDataDescriptionFeaturesItem Source #

Instances
Eq AnalyzeDataDescriptionFeaturesItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeDataDescriptionFeaturesItem Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeDataDescriptionFeaturesItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Associated Types

type Rep AnalyzeDataDescriptionFeaturesItem :: Type -> Type #

ToJSON AnalyzeDataDescriptionFeaturesItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeDataDescriptionFeaturesItem Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionFeaturesItem Source # 
Instance details

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 Source #

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 :: Lens' AnalyzeDataDescriptionFeaturesItem (Maybe AnalyzeDataDescriptionFeaturesItemText) Source #

Description of multiple-word text values of this feature.

Update

data Update Source #

Instances
Eq Update Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Methods

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

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

Data Update Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic Update Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON Update Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep Update Source # 
Instance details

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 Source #

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 :: Lens' Update [JSONValue] Source #

The input features for this instance.

uOutput :: Lens' Update (Maybe Text) Source #

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

AnalyzeDataDescriptionOutputFeature

data AnalyzeDataDescriptionOutputFeature Source #

Description of the output value or label.

See: analyzeDataDescriptionOutputFeature smart constructor.

Instances
Eq AnalyzeDataDescriptionOutputFeature Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Data AnalyzeDataDescriptionOutputFeature Source # 
Instance details

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 Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

Generic AnalyzeDataDescriptionOutputFeature Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

ToJSON AnalyzeDataDescriptionOutputFeature Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

FromJSON AnalyzeDataDescriptionOutputFeature Source # 
Instance details

Defined in Network.Google.Prediction.Types.Product

type Rep AnalyzeDataDescriptionOutputFeature Source # 
Instance details

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 Source #

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: