gogol-ml-0.1.1: Google Cloud Machine Learning 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.MachineLearning

Contents

Description

An API to enable creating and using machine learning models.

See: Google Cloud Machine Learning Reference

Synopsis

Service Configuration

machineLearningService :: ServiceConfig Source #

Default request referring to version v1beta1 of the Google Cloud Machine Learning. 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

API Declaration

Resources

ml.projects.getConfig

ml.projects.jobs.cancel

ml.projects.jobs.create

ml.projects.jobs.get

ml.projects.jobs.list

ml.projects.models.create

ml.projects.models.delete

ml.projects.models.get

ml.projects.models.list

ml.projects.models.versions.create

ml.projects.models.versions.delete

ml.projects.models.versions.get

ml.projects.models.versions.list

ml.projects.models.versions.setDefault

ml.projects.operations.cancel

ml.projects.operations.delete

ml.projects.operations.get

ml.projects.operations.list

ml.projects.predict

Types

GoogleCloudMlV1beta1__SetDefaultVersionRequest

data GoogleCloudMlV1beta1__SetDefaultVersionRequest Source #

Request message for the SetDefaultVersion request.

See: googleCloudMlV1beta1__SetDefaultVersionRequest smart constructor.

Instances

Eq GoogleCloudMlV1beta1__SetDefaultVersionRequest Source # 
Data GoogleCloudMlV1beta1__SetDefaultVersionRequest Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__SetDefaultVersionRequest -> c GoogleCloudMlV1beta1__SetDefaultVersionRequest #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__SetDefaultVersionRequest #

toConstr :: GoogleCloudMlV1beta1__SetDefaultVersionRequest -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__SetDefaultVersionRequest -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__SetDefaultVersionRequest) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__SetDefaultVersionRequest) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__SetDefaultVersionRequest -> GoogleCloudMlV1beta1__SetDefaultVersionRequest #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__SetDefaultVersionRequest -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__SetDefaultVersionRequest -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__SetDefaultVersionRequest -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__SetDefaultVersionRequest -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__SetDefaultVersionRequest -> m GoogleCloudMlV1beta1__SetDefaultVersionRequest #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__SetDefaultVersionRequest -> m GoogleCloudMlV1beta1__SetDefaultVersionRequest #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__SetDefaultVersionRequest -> m GoogleCloudMlV1beta1__SetDefaultVersionRequest #

Show GoogleCloudMlV1beta1__SetDefaultVersionRequest Source # 
Generic GoogleCloudMlV1beta1__SetDefaultVersionRequest Source # 
ToJSON GoogleCloudMlV1beta1__SetDefaultVersionRequest Source # 
FromJSON GoogleCloudMlV1beta1__SetDefaultVersionRequest Source # 
type Rep GoogleCloudMlV1beta1__SetDefaultVersionRequest Source # 
type Rep GoogleCloudMlV1beta1__SetDefaultVersionRequest = D1 (MetaData "GoogleCloudMlV1beta1__SetDefaultVersionRequest" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__SetDefaultVersionRequest'" PrefixI False) U1)

GoogleCloudMlV1beta1__Version

data GoogleCloudMlV1beta1__Version Source #

Represents a version of the model. Each version is a trained model deployed in the cloud, ready to handle prediction requests. A model can have multiple versions. You can get information about all of the versions of a given model by calling projects.models.versions.list.

See: googleCloudMlV1beta1__Version smart constructor.

Instances

Eq GoogleCloudMlV1beta1__Version Source # 
Data GoogleCloudMlV1beta1__Version Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__Version -> c GoogleCloudMlV1beta1__Version #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__Version #

toConstr :: GoogleCloudMlV1beta1__Version -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__Version -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__Version) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__Version) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__Version -> GoogleCloudMlV1beta1__Version #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__Version -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__Version -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__Version -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__Version -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__Version -> m GoogleCloudMlV1beta1__Version #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__Version -> m GoogleCloudMlV1beta1__Version #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__Version -> m GoogleCloudMlV1beta1__Version #

Show GoogleCloudMlV1beta1__Version Source # 
Generic GoogleCloudMlV1beta1__Version Source # 
ToJSON GoogleCloudMlV1beta1__Version Source # 
FromJSON GoogleCloudMlV1beta1__Version Source # 
type Rep GoogleCloudMlV1beta1__Version Source # 
type Rep GoogleCloudMlV1beta1__Version = D1 (MetaData "GoogleCloudMlV1beta1__Version" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__Version'" PrefixI True) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvvLastUseTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe DateTime'))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvvName") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gcmvvDeploymentURI") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvvDescription") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvvCreateTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe DateTime'))) (S1 (MetaSel (Just Symbol "_gcmvvIsDefault") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Bool)))))))

googleCloudMlV1beta1__Version :: GoogleCloudMlV1beta1__Version Source #

Creates a value of GoogleCloudMlV1beta1__Version with the minimum fields required to make a request.

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

gcmvvLastUseTime :: Lens' GoogleCloudMlV1beta1__Version (Maybe UTCTime) Source #

Output only. The time the version was last used for prediction.

gcmvvName :: Lens' GoogleCloudMlV1beta1__Version (Maybe Text) Source #

Required.The name specified for the version when it was created. The version name must be unique within the model it is created in.

gcmvvDeploymentURI :: Lens' GoogleCloudMlV1beta1__Version (Maybe Text) Source #

Required. The Google Cloud Storage location of the trained model used to create the version. See the overview of model deployment for more informaiton. When passing Version to projects.models.versions.create the model service uses the specified location as the source of the model. Once deployed, the model version is hosted by the prediction service, so this location is useful only as a historical record.

gcmvvDescription :: Lens' GoogleCloudMlV1beta1__Version (Maybe Text) Source #

Optional. The description specified for the version when it was created.

gcmvvCreateTime :: Lens' GoogleCloudMlV1beta1__Version (Maybe UTCTime) Source #

Output only. The time the version was created.

gcmvvIsDefault :: Lens' GoogleCloudMlV1beta1__Version (Maybe Bool) Source #

Output only. If true, this version will be used to handle prediction requests that do not specify a version. You can change the default version by calling projects.methods.versions.setDefault.

GoogleCloudMlV1beta1__HyperparameterSpec

data GoogleCloudMlV1beta1__HyperparameterSpec Source #

Represents a set of hyperparameters to optimize.

See: googleCloudMlV1beta1__HyperparameterSpec smart constructor.

Instances

Eq GoogleCloudMlV1beta1__HyperparameterSpec Source # 
Data GoogleCloudMlV1beta1__HyperparameterSpec Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__HyperparameterSpec -> c GoogleCloudMlV1beta1__HyperparameterSpec #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__HyperparameterSpec #

toConstr :: GoogleCloudMlV1beta1__HyperparameterSpec -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__HyperparameterSpec -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__HyperparameterSpec) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__HyperparameterSpec) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__HyperparameterSpec -> GoogleCloudMlV1beta1__HyperparameterSpec #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__HyperparameterSpec -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__HyperparameterSpec -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__HyperparameterSpec -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__HyperparameterSpec -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterSpec -> m GoogleCloudMlV1beta1__HyperparameterSpec #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterSpec -> m GoogleCloudMlV1beta1__HyperparameterSpec #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterSpec -> m GoogleCloudMlV1beta1__HyperparameterSpec #

Show GoogleCloudMlV1beta1__HyperparameterSpec Source # 
Generic GoogleCloudMlV1beta1__HyperparameterSpec Source # 
ToJSON GoogleCloudMlV1beta1__HyperparameterSpec Source # 
FromJSON GoogleCloudMlV1beta1__HyperparameterSpec Source # 
type Rep GoogleCloudMlV1beta1__HyperparameterSpec Source # 
type Rep GoogleCloudMlV1beta1__HyperparameterSpec = D1 (MetaData "GoogleCloudMlV1beta1__HyperparameterSpec" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__HyperparameterSpec'" PrefixI True) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvhsParams") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [GoogleCloudMlV1beta1__ParameterSpec]))) (S1 (MetaSel (Just Symbol "_gcmvhsGoal") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__HyperparameterSpecGoal)))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvhsMaxTrials") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int32)))) (S1 (MetaSel (Just Symbol "_gcmvhsMaxParallelTrials") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int32)))))))

googleCloudMlV1beta1__HyperparameterSpec :: GoogleCloudMlV1beta1__HyperparameterSpec Source #

Creates a value of GoogleCloudMlV1beta1__HyperparameterSpec with the minimum fields required to make a request.

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

gcmvhsGoal :: Lens' GoogleCloudMlV1beta1__HyperparameterSpec (Maybe GoogleCloudMlV1beta1__HyperparameterSpecGoal) Source #

Required. The type of goal to use for tuning. Available types are `MAXIMIZE` and `MINIMIZE`. Defaults to `MAXIMIZE`.

gcmvhsMaxTrials :: Lens' GoogleCloudMlV1beta1__HyperparameterSpec (Maybe Int32) Source #

Optional. How many training trials should be attempted to optimize the specified hyperparameters. Defaults to one.

gcmvhsMaxParallelTrials :: Lens' GoogleCloudMlV1beta1__HyperparameterSpec (Maybe Int32) Source #

Optional. The number of training trials to run concurrently. You can reduce the time it takes to perform hyperparameter tuning by adding trials in parallel. However, each trail only benefits from the information gained in completed trials. That means that a trial does not get access to the results of trials running at the same time, which could reduce the quality of the overall optimization. Each trial will use the same scale tier and machine types. Defaults to one.

GoogleCloudMlV1beta1__GetConfigResponse

data GoogleCloudMlV1beta1__GetConfigResponse Source #

Returns service account information associated with a project.

See: googleCloudMlV1beta1__GetConfigResponse smart constructor.

Instances

Eq GoogleCloudMlV1beta1__GetConfigResponse Source # 
Data GoogleCloudMlV1beta1__GetConfigResponse Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__GetConfigResponse -> c GoogleCloudMlV1beta1__GetConfigResponse #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__GetConfigResponse #

toConstr :: GoogleCloudMlV1beta1__GetConfigResponse -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__GetConfigResponse -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__GetConfigResponse) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__GetConfigResponse) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__GetConfigResponse -> GoogleCloudMlV1beta1__GetConfigResponse #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__GetConfigResponse -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__GetConfigResponse -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__GetConfigResponse -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__GetConfigResponse -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__GetConfigResponse -> m GoogleCloudMlV1beta1__GetConfigResponse #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__GetConfigResponse -> m GoogleCloudMlV1beta1__GetConfigResponse #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__GetConfigResponse -> m GoogleCloudMlV1beta1__GetConfigResponse #

Show GoogleCloudMlV1beta1__GetConfigResponse Source # 
Generic GoogleCloudMlV1beta1__GetConfigResponse Source # 
ToJSON GoogleCloudMlV1beta1__GetConfigResponse Source # 
FromJSON GoogleCloudMlV1beta1__GetConfigResponse Source # 
type Rep GoogleCloudMlV1beta1__GetConfigResponse Source # 
type Rep GoogleCloudMlV1beta1__GetConfigResponse = D1 (MetaData "GoogleCloudMlV1beta1__GetConfigResponse" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__GetConfigResponse'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvgcrServiceAccount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gcmvgcrServiceAccountProject") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64))))))

googleCloudMlV1beta1__GetConfigResponse :: GoogleCloudMlV1beta1__GetConfigResponse Source #

Creates a value of GoogleCloudMlV1beta1__GetConfigResponse with the minimum fields required to make a request.

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

gcmvgcrServiceAccount :: Lens' GoogleCloudMlV1beta1__GetConfigResponse (Maybe Text) Source #

The service account Cloud ML uses to access resources in the project.

GoogleCloudMlV1beta1__Job

data GoogleCloudMlV1beta1__Job Source #

Represents a training or prediction job.

See: googleCloudMlV1beta1__Job smart constructor.

Instances

Eq GoogleCloudMlV1beta1__Job Source # 
Data GoogleCloudMlV1beta1__Job Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__Job -> c GoogleCloudMlV1beta1__Job #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__Job #

toConstr :: GoogleCloudMlV1beta1__Job -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__Job -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__Job) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__Job) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__Job -> GoogleCloudMlV1beta1__Job #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__Job -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__Job -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__Job -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__Job -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__Job -> m GoogleCloudMlV1beta1__Job #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__Job -> m GoogleCloudMlV1beta1__Job #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__Job -> m GoogleCloudMlV1beta1__Job #

Show GoogleCloudMlV1beta1__Job Source # 
Generic GoogleCloudMlV1beta1__Job Source # 
ToJSON GoogleCloudMlV1beta1__Job Source # 
FromJSON GoogleCloudMlV1beta1__Job Source # 
type Rep GoogleCloudMlV1beta1__Job Source # 
type Rep GoogleCloudMlV1beta1__Job = D1 (MetaData "GoogleCloudMlV1beta1__Job" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__Job'" PrefixI True) ((:*:) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvjState") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__JobState))) (S1 (MetaSel (Just Symbol "_gcmvjTrainingOutput") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__TrainingOutput)))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvjJobId") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvjStartTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe DateTime'))) (S1 (MetaSel (Just Symbol "_gcmvjPredictionInput") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__PredictionInput)))))) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvjEndTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe DateTime'))) (S1 (MetaSel (Just Symbol "_gcmvjPredictionOutput") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__PredictionOutput)))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvjErrorMessage") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvjTrainingInput") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__TrainingInput))) (S1 (MetaSel (Just Symbol "_gcmvjCreateTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe DateTime'))))))))

gcmvjJobId :: Lens' GoogleCloudMlV1beta1__Job (Maybe Text) Source #

Required. The user-specified id of the job.

gcmvjStartTime :: Lens' GoogleCloudMlV1beta1__Job (Maybe UTCTime) Source #

Output only. When the job processing was started.

gcmvjEndTime :: Lens' GoogleCloudMlV1beta1__Job (Maybe UTCTime) Source #

Output only. When the job processing was completed.

gcmvjErrorMessage :: Lens' GoogleCloudMlV1beta1__Job (Maybe Text) Source #

Output only. The details of a failure or a cancellation.

gcmvjCreateTime :: Lens' GoogleCloudMlV1beta1__Job (Maybe UTCTime) Source #

Output only. When the job was created.

GoogleCloudMlV1beta1__TrainingOutput

data GoogleCloudMlV1beta1__TrainingOutput Source #

Represents results of a training job.

See: googleCloudMlV1beta1__TrainingOutput smart constructor.

Instances

Eq GoogleCloudMlV1beta1__TrainingOutput Source # 
Data GoogleCloudMlV1beta1__TrainingOutput Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__TrainingOutput -> c GoogleCloudMlV1beta1__TrainingOutput #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__TrainingOutput #

toConstr :: GoogleCloudMlV1beta1__TrainingOutput -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__TrainingOutput -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__TrainingOutput) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__TrainingOutput) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__TrainingOutput -> GoogleCloudMlV1beta1__TrainingOutput #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__TrainingOutput -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__TrainingOutput -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__TrainingOutput -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__TrainingOutput -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__TrainingOutput -> m GoogleCloudMlV1beta1__TrainingOutput #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__TrainingOutput -> m GoogleCloudMlV1beta1__TrainingOutput #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__TrainingOutput -> m GoogleCloudMlV1beta1__TrainingOutput #

Show GoogleCloudMlV1beta1__TrainingOutput Source # 
Generic GoogleCloudMlV1beta1__TrainingOutput Source # 
ToJSON GoogleCloudMlV1beta1__TrainingOutput Source # 
FromJSON GoogleCloudMlV1beta1__TrainingOutput Source # 
type Rep GoogleCloudMlV1beta1__TrainingOutput Source # 
type Rep GoogleCloudMlV1beta1__TrainingOutput = D1 (MetaData "GoogleCloudMlV1beta1__TrainingOutput" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__TrainingOutput'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvtoCompletedTrialCount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64)))) (S1 (MetaSel (Just Symbol "_gcmvtoTrials") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [GoogleCloudMlV1beta1__HyperparameterOutput])))))

googleCloudMlV1beta1__TrainingOutput :: GoogleCloudMlV1beta1__TrainingOutput Source #

Creates a value of GoogleCloudMlV1beta1__TrainingOutput with the minimum fields required to make a request.

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

gcmvtoCompletedTrialCount :: Lens' GoogleCloudMlV1beta1__TrainingOutput (Maybe Int64) Source #

The number of hyperparameter tuning trials that completed successfully.

GoogleCloudMlV1beta1__Model

data GoogleCloudMlV1beta1__Model Source #

Represents a machine learning solution. A model can have multiple versions, each of which is a deployed, trained model ready to receive prediction requests. The model itself is just a container.

See: googleCloudMlV1beta1__Model smart constructor.

Instances

Eq GoogleCloudMlV1beta1__Model Source # 
Data GoogleCloudMlV1beta1__Model Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__Model -> c GoogleCloudMlV1beta1__Model #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__Model #

toConstr :: GoogleCloudMlV1beta1__Model -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__Model -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__Model) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__Model) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__Model -> GoogleCloudMlV1beta1__Model #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__Model -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__Model -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__Model -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__Model -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__Model -> m GoogleCloudMlV1beta1__Model #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__Model -> m GoogleCloudMlV1beta1__Model #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__Model -> m GoogleCloudMlV1beta1__Model #

Show GoogleCloudMlV1beta1__Model Source # 
Generic GoogleCloudMlV1beta1__Model Source # 
ToJSON GoogleCloudMlV1beta1__Model Source # 
FromJSON GoogleCloudMlV1beta1__Model Source # 
type Rep GoogleCloudMlV1beta1__Model Source # 
type Rep GoogleCloudMlV1beta1__Model = D1 (MetaData "GoogleCloudMlV1beta1__Model" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__Model'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvmDefaultVersion") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__Version))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvmName") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gcmvmDescription") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))))

googleCloudMlV1beta1__Model :: GoogleCloudMlV1beta1__Model Source #

Creates a value of GoogleCloudMlV1beta1__Model with the minimum fields required to make a request.

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

gcmvmDefaultVersion :: Lens' GoogleCloudMlV1beta1__Model (Maybe GoogleCloudMlV1beta1__Version) Source #

Output only. The default version of the model. This version will be used to handle prediction requests that do not specify a version. You can change the default version by calling projects.methods.versions.setDefault.

gcmvmName :: Lens' GoogleCloudMlV1beta1__Model (Maybe Text) Source #

Required. The name specified for the model when it was created. The model name must be unique within the project it is created in.

gcmvmDescription :: Lens' GoogleCloudMlV1beta1__Model (Maybe Text) Source #

Optional. The description specified for the model when it was created.

GoogleLongrunning__OperationResponse

data GoogleLongrunning__OperationResponse Source #

The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.

See: googleLongrunning__OperationResponse smart constructor.

Instances

Eq GoogleLongrunning__OperationResponse Source # 
Data GoogleLongrunning__OperationResponse Source # 

Methods

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

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

toConstr :: GoogleLongrunning__OperationResponse -> Constr #

dataTypeOf :: GoogleLongrunning__OperationResponse -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleLongrunning__OperationResponse) #

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

gmapT :: (forall b. Data b => b -> b) -> GoogleLongrunning__OperationResponse -> GoogleLongrunning__OperationResponse #

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

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

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

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

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

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

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

Show GoogleLongrunning__OperationResponse Source # 
Generic GoogleLongrunning__OperationResponse Source # 
ToJSON GoogleLongrunning__OperationResponse Source # 
FromJSON GoogleLongrunning__OperationResponse Source # 
type Rep GoogleLongrunning__OperationResponse Source # 
type Rep GoogleLongrunning__OperationResponse = D1 (MetaData "GoogleLongrunning__OperationResponse" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" True) (C1 (MetaCons "GoogleLongrunning__OperationResponse'" PrefixI True) (S1 (MetaSel (Just Symbol "_glorAddtional") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (HashMap Text JSONValue))))

googleLongrunning__OperationResponse Source #

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

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

glorAddtional :: Lens' GoogleLongrunning__OperationResponse (HashMap Text JSONValue) Source #

Properties of the object. Contains field 'type with type URL.

GoogleCloudMlV1beta1__JobState

data GoogleCloudMlV1beta1__JobState Source #

Output only. The detailed state of a job.

Constructors

StateUnspecified

STATE_UNSPECIFIED The job state is unspecified.

Queued

QUEUED The job has been just created and processing has not yet begun.

Preparing

PREPARING The service is preparing to run the job.

Running

RUNNING The job is in progress.

Succeeded

SUCCEEDED The job completed successfully.

Failed

FAILED The job failed. `error_message` should contain the details of the failure.

Cancelling

CANCELLING The job is being cancelled. `error_message` should describe the reason for the cancellation.

Cancelled

CANCELLED The job has been cancelled. `error_message` should describe the reason for the cancellation.

Instances

Enum GoogleCloudMlV1beta1__JobState Source # 
Eq GoogleCloudMlV1beta1__JobState Source # 
Data GoogleCloudMlV1beta1__JobState Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__JobState -> c GoogleCloudMlV1beta1__JobState #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__JobState #

toConstr :: GoogleCloudMlV1beta1__JobState -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__JobState -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__JobState) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__JobState) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__JobState -> GoogleCloudMlV1beta1__JobState #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__JobState -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__JobState -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__JobState -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__JobState -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__JobState -> m GoogleCloudMlV1beta1__JobState #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__JobState -> m GoogleCloudMlV1beta1__JobState #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__JobState -> m GoogleCloudMlV1beta1__JobState #

Ord GoogleCloudMlV1beta1__JobState Source # 
Read GoogleCloudMlV1beta1__JobState Source # 
Show GoogleCloudMlV1beta1__JobState Source # 
Generic GoogleCloudMlV1beta1__JobState Source # 
Hashable GoogleCloudMlV1beta1__JobState Source # 
ToJSON GoogleCloudMlV1beta1__JobState Source # 
FromJSON GoogleCloudMlV1beta1__JobState Source # 
FromHttpApiData GoogleCloudMlV1beta1__JobState Source # 
ToHttpApiData GoogleCloudMlV1beta1__JobState Source # 
type Rep GoogleCloudMlV1beta1__JobState Source # 
type Rep GoogleCloudMlV1beta1__JobState = D1 (MetaData "GoogleCloudMlV1beta1__JobState" "Network.Google.MachineLearning.Types.Sum" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) ((:+:) ((:+:) ((:+:) (C1 (MetaCons "StateUnspecified" PrefixI False) U1) (C1 (MetaCons "Queued" PrefixI False) U1)) ((:+:) (C1 (MetaCons "Preparing" PrefixI False) U1) (C1 (MetaCons "Running" PrefixI False) U1))) ((:+:) ((:+:) (C1 (MetaCons "Succeeded" PrefixI False) U1) (C1 (MetaCons "Failed" PrefixI False) U1)) ((:+:) (C1 (MetaCons "Cancelling" PrefixI False) U1) (C1 (MetaCons "Cancelled" PrefixI False) U1))))

GoogleCloudMlV1beta1__OperationMetadata

data GoogleCloudMlV1beta1__OperationMetadata Source #

Represents the metadata of the long-running operation.

See: googleCloudMlV1beta1__OperationMetadata smart constructor.

Instances

Eq GoogleCloudMlV1beta1__OperationMetadata Source # 
Data GoogleCloudMlV1beta1__OperationMetadata Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__OperationMetadata -> c GoogleCloudMlV1beta1__OperationMetadata #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__OperationMetadata #

toConstr :: GoogleCloudMlV1beta1__OperationMetadata -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__OperationMetadata -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__OperationMetadata) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__OperationMetadata) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__OperationMetadata -> GoogleCloudMlV1beta1__OperationMetadata #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__OperationMetadata -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__OperationMetadata -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__OperationMetadata -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__OperationMetadata -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__OperationMetadata -> m GoogleCloudMlV1beta1__OperationMetadata #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__OperationMetadata -> m GoogleCloudMlV1beta1__OperationMetadata #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__OperationMetadata -> m GoogleCloudMlV1beta1__OperationMetadata #

Show GoogleCloudMlV1beta1__OperationMetadata Source # 
Generic GoogleCloudMlV1beta1__OperationMetadata Source # 
ToJSON GoogleCloudMlV1beta1__OperationMetadata Source # 
FromJSON GoogleCloudMlV1beta1__OperationMetadata Source # 
type Rep GoogleCloudMlV1beta1__OperationMetadata Source # 
type Rep GoogleCloudMlV1beta1__OperationMetadata = D1 (MetaData "GoogleCloudMlV1beta1__OperationMetadata" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__OperationMetadata'" PrefixI True) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvomStartTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe DateTime'))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvomModelName") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gcmvomVersion") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__Version))))) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvomEndTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe DateTime'))) (S1 (MetaSel (Just Symbol "_gcmvomIsCancellationRequested") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Bool)))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvomOperationType") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__OperationMetadataOperationType))) (S1 (MetaSel (Just Symbol "_gcmvomCreateTime") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe DateTime')))))))

gcmvomModelName :: Lens' GoogleCloudMlV1beta1__OperationMetadata (Maybe Text) Source #

Contains the name of the model associated with the operation.

gcmvomEndTime :: Lens' GoogleCloudMlV1beta1__OperationMetadata (Maybe UTCTime) Source #

The time operation processing completed.

gcmvomIsCancellationRequested :: Lens' GoogleCloudMlV1beta1__OperationMetadata (Maybe Bool) Source #

Indicates whether a request to cancel this operation has been made.

GoogleCloudMlV1beta1__HyperparameterOutput

data GoogleCloudMlV1beta1__HyperparameterOutput Source #

Represents the result of a single hyperparameter tuning trial from a training job. The TrainingOutput object that is returned on successful completion of a training job with hyperparameter tuning includes a list of HyperparameterOutput objects, one for each successful trial.

See: googleCloudMlV1beta1__HyperparameterOutput smart constructor.

Instances

Eq GoogleCloudMlV1beta1__HyperparameterOutput Source # 
Data GoogleCloudMlV1beta1__HyperparameterOutput Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__HyperparameterOutput -> c GoogleCloudMlV1beta1__HyperparameterOutput #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__HyperparameterOutput #

toConstr :: GoogleCloudMlV1beta1__HyperparameterOutput -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__HyperparameterOutput -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__HyperparameterOutput) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__HyperparameterOutput) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__HyperparameterOutput -> GoogleCloudMlV1beta1__HyperparameterOutput #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__HyperparameterOutput -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__HyperparameterOutput -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__HyperparameterOutput -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__HyperparameterOutput -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterOutput -> m GoogleCloudMlV1beta1__HyperparameterOutput #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterOutput -> m GoogleCloudMlV1beta1__HyperparameterOutput #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterOutput -> m GoogleCloudMlV1beta1__HyperparameterOutput #

Show GoogleCloudMlV1beta1__HyperparameterOutput Source # 
Generic GoogleCloudMlV1beta1__HyperparameterOutput Source # 
ToJSON GoogleCloudMlV1beta1__HyperparameterOutput Source # 
FromJSON GoogleCloudMlV1beta1__HyperparameterOutput Source # 
type Rep GoogleCloudMlV1beta1__HyperparameterOutput Source # 

googleCloudMlV1beta1__HyperparameterOutput :: GoogleCloudMlV1beta1__HyperparameterOutput Source #

Creates a value of GoogleCloudMlV1beta1__HyperparameterOutput with the minimum fields required to make a request.

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

GoogleCloudMlV1beta1__ListVersionsResponse

data GoogleCloudMlV1beta1__ListVersionsResponse Source #

Response message for the ListVersions method.

See: googleCloudMlV1beta1__ListVersionsResponse smart constructor.

Instances

Eq GoogleCloudMlV1beta1__ListVersionsResponse Source # 
Data GoogleCloudMlV1beta1__ListVersionsResponse Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__ListVersionsResponse -> c GoogleCloudMlV1beta1__ListVersionsResponse #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__ListVersionsResponse #

toConstr :: GoogleCloudMlV1beta1__ListVersionsResponse -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__ListVersionsResponse -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__ListVersionsResponse) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__ListVersionsResponse) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__ListVersionsResponse -> GoogleCloudMlV1beta1__ListVersionsResponse #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__ListVersionsResponse -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__ListVersionsResponse -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__ListVersionsResponse -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__ListVersionsResponse -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ListVersionsResponse -> m GoogleCloudMlV1beta1__ListVersionsResponse #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ListVersionsResponse -> m GoogleCloudMlV1beta1__ListVersionsResponse #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ListVersionsResponse -> m GoogleCloudMlV1beta1__ListVersionsResponse #

Show GoogleCloudMlV1beta1__ListVersionsResponse Source # 
Generic GoogleCloudMlV1beta1__ListVersionsResponse Source # 
ToJSON GoogleCloudMlV1beta1__ListVersionsResponse Source # 
FromJSON GoogleCloudMlV1beta1__ListVersionsResponse Source # 
type Rep GoogleCloudMlV1beta1__ListVersionsResponse Source # 
type Rep GoogleCloudMlV1beta1__ListVersionsResponse = D1 (MetaData "GoogleCloudMlV1beta1__ListVersionsResponse" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__ListVersionsResponse'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvlvrNextPageToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gcmvlvrVersions") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [GoogleCloudMlV1beta1__Version])))))

googleCloudMlV1beta1__ListVersionsResponse :: GoogleCloudMlV1beta1__ListVersionsResponse Source #

Creates a value of GoogleCloudMlV1beta1__ListVersionsResponse with the minimum fields required to make a request.

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

gcmvlvrNextPageToken :: Lens' GoogleCloudMlV1beta1__ListVersionsResponse (Maybe Text) Source #

Optional. Pass this token as the `page_token` field of the request for a subsequent call.

GoogleCloudMlV1beta1__OperationMetadataOperationType

data GoogleCloudMlV1beta1__OperationMetadataOperationType Source #

The operation type.

Constructors

OperationTypeUnspecified

OPERATION_TYPE_UNSPECIFIED Unspecified operation type.

CreateVersion

CREATE_VERSION An operation to create a new version.

DeleteVersion

DELETE_VERSION An operation to delete an existing version.

DeleteModel

DELETE_MODEL An operation to delete an existing model.

Instances

Enum GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
Eq GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
Data GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__OperationMetadataOperationType -> c GoogleCloudMlV1beta1__OperationMetadataOperationType #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__OperationMetadataOperationType #

toConstr :: GoogleCloudMlV1beta1__OperationMetadataOperationType -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__OperationMetadataOperationType -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__OperationMetadataOperationType) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__OperationMetadataOperationType) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__OperationMetadataOperationType -> GoogleCloudMlV1beta1__OperationMetadataOperationType #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__OperationMetadataOperationType -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__OperationMetadataOperationType -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__OperationMetadataOperationType -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__OperationMetadataOperationType -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__OperationMetadataOperationType -> m GoogleCloudMlV1beta1__OperationMetadataOperationType #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__OperationMetadataOperationType -> m GoogleCloudMlV1beta1__OperationMetadataOperationType #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__OperationMetadataOperationType -> m GoogleCloudMlV1beta1__OperationMetadataOperationType #

Ord GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
Read GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
Show GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
Generic GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
Hashable GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
ToJSON GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
FromJSON GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
FromHttpApiData GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
ToHttpApiData GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
type Rep GoogleCloudMlV1beta1__OperationMetadataOperationType Source # 
type Rep GoogleCloudMlV1beta1__OperationMetadataOperationType = D1 (MetaData "GoogleCloudMlV1beta1__OperationMetadataOperationType" "Network.Google.MachineLearning.Types.Sum" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) ((:+:) ((:+:) (C1 (MetaCons "OperationTypeUnspecified" PrefixI False) U1) (C1 (MetaCons "CreateVersion" PrefixI False) U1)) ((:+:) (C1 (MetaCons "DeleteVersion" PrefixI False) U1) (C1 (MetaCons "DeleteModel" PrefixI False) U1)))

GoogleLongrunning__ListOperationsResponse

data GoogleLongrunning__ListOperationsResponse Source #

The response message for Operations.ListOperations.

See: googleLongrunning__ListOperationsResponse smart constructor.

Instances

Eq GoogleLongrunning__ListOperationsResponse Source # 
Data GoogleLongrunning__ListOperationsResponse Source # 

Methods

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

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

toConstr :: GoogleLongrunning__ListOperationsResponse -> Constr #

dataTypeOf :: GoogleLongrunning__ListOperationsResponse -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleLongrunning__ListOperationsResponse) #

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

gmapT :: (forall b. Data b => b -> b) -> GoogleLongrunning__ListOperationsResponse -> GoogleLongrunning__ListOperationsResponse #

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

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

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

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

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

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

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

Show GoogleLongrunning__ListOperationsResponse Source # 
Generic GoogleLongrunning__ListOperationsResponse Source # 
ToJSON GoogleLongrunning__ListOperationsResponse Source # 
FromJSON GoogleLongrunning__ListOperationsResponse Source # 
type Rep GoogleLongrunning__ListOperationsResponse Source # 
type Rep GoogleLongrunning__ListOperationsResponse = D1 (MetaData "GoogleLongrunning__ListOperationsResponse" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleLongrunning__ListOperationsResponse'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_gllorNextPageToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gllorOperations") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [GoogleLongrunning__Operation])))))

googleLongrunning__ListOperationsResponse :: GoogleLongrunning__ListOperationsResponse Source #

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

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

gllorOperations :: Lens' GoogleLongrunning__ListOperationsResponse [GoogleLongrunning__Operation] Source #

A list of operations that matches the specified filter in the request.

GoogleCloudMlV1beta1__PredictionInput

data GoogleCloudMlV1beta1__PredictionInput Source #

Represents input parameters for a prediction job.

See: googleCloudMlV1beta1__PredictionInput smart constructor.

Instances

Eq GoogleCloudMlV1beta1__PredictionInput Source # 
Data GoogleCloudMlV1beta1__PredictionInput Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__PredictionInput -> c GoogleCloudMlV1beta1__PredictionInput #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__PredictionInput #

toConstr :: GoogleCloudMlV1beta1__PredictionInput -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__PredictionInput -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__PredictionInput) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__PredictionInput) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__PredictionInput -> GoogleCloudMlV1beta1__PredictionInput #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__PredictionInput -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__PredictionInput -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__PredictionInput -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__PredictionInput -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__PredictionInput -> m GoogleCloudMlV1beta1__PredictionInput #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__PredictionInput -> m GoogleCloudMlV1beta1__PredictionInput #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__PredictionInput -> m GoogleCloudMlV1beta1__PredictionInput #

Show GoogleCloudMlV1beta1__PredictionInput Source # 
Generic GoogleCloudMlV1beta1__PredictionInput Source # 
ToJSON GoogleCloudMlV1beta1__PredictionInput Source # 
FromJSON GoogleCloudMlV1beta1__PredictionInput Source # 
type Rep GoogleCloudMlV1beta1__PredictionInput Source # 
type Rep GoogleCloudMlV1beta1__PredictionInput = D1 (MetaData "GoogleCloudMlV1beta1__PredictionInput" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__PredictionInput'" PrefixI True) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvpiVersionName") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvpiModelName") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gcmvpiDataFormat") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__PredictionInputDataFormat))))) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvpiMaxWorkerCount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64)))) (S1 (MetaSel (Just Symbol "_gcmvpiOutputPath") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvpiRegion") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gcmvpiInputPaths") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [Text])))))))

gcmvpiVersionName :: Lens' GoogleCloudMlV1beta1__PredictionInput (Maybe Text) Source #

Use this field if you want to specify a version of the model to use. The string is formatted the same way as `model_version`, with the addition of the version information: `"projects/[YOUR_PROJECT]/models/YOUR_MODEL/versions/[YOUR_VERSION]"`

gcmvpiModelName :: Lens' GoogleCloudMlV1beta1__PredictionInput (Maybe Text) Source #

Use this field if you want to use the default version for the specified model. The string must use the following format: `"projects/[YOUR_PROJECT]/models/[YOUR_MODEL]"`

gcmvpiMaxWorkerCount :: Lens' GoogleCloudMlV1beta1__PredictionInput (Maybe Int64) Source #

Optional. The maximum number of workers to be used for parallel processing. Defaults to 10 if not specified.

gcmvpiOutputPath :: Lens' GoogleCloudMlV1beta1__PredictionInput (Maybe Text) Source #

Required. The output Google Cloud Storage location.

gcmvpiRegion :: Lens' GoogleCloudMlV1beta1__PredictionInput (Maybe Text) Source #

Required. The Google Compute Engine region to run the prediction job in.

gcmvpiInputPaths :: Lens' GoogleCloudMlV1beta1__PredictionInput [Text] Source #

Required. The Google Cloud Storage location of the input data files. May contain wildcards.

GoogleLongrunning__Operation

data GoogleLongrunning__Operation Source #

This resource represents a long-running operation that is the result of a network API call.

See: googleLongrunning__Operation smart constructor.

Instances

Eq GoogleLongrunning__Operation Source # 
Data GoogleLongrunning__Operation Source # 

Methods

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

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

toConstr :: GoogleLongrunning__Operation -> Constr #

dataTypeOf :: GoogleLongrunning__Operation -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleLongrunning__Operation) #

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

gmapT :: (forall b. Data b => b -> b) -> GoogleLongrunning__Operation -> GoogleLongrunning__Operation #

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

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

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

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

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

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

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

Show GoogleLongrunning__Operation Source # 
Generic GoogleLongrunning__Operation Source # 
ToJSON GoogleLongrunning__Operation Source # 
FromJSON GoogleLongrunning__Operation Source # 
type Rep GoogleLongrunning__Operation Source # 

googleLongrunning__Operation :: GoogleLongrunning__Operation Source #

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

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

gloDone :: Lens' GoogleLongrunning__Operation (Maybe Bool) Source #

If the value is `false`, it means the operation is still in progress. If true, the operation is completed, and either `error` or `response` is available.

gloError :: Lens' GoogleLongrunning__Operation (Maybe GoogleRpc__Status) Source #

The error result of the operation in case of failure or cancellation.

gloResponse :: Lens' GoogleLongrunning__Operation (Maybe GoogleLongrunning__OperationResponse) Source #

The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.

gloName :: Lens' GoogleLongrunning__Operation (Maybe Text) Source #

The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should have the format of `operations/some/unique/name`.

gloMetadata :: Lens' GoogleLongrunning__Operation (Maybe GoogleLongrunning__OperationMetadata) Source #

Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.

GoogleCloudMlV1beta1__ParameterSpecType

data GoogleCloudMlV1beta1__ParameterSpecType Source #

Required. The type of the parameter.

Constructors

ParameterTypeUnspecified

PARAMETER_TYPE_UNSPECIFIED You must specify a valid type. Using this unspecified type will result in an error.

Double

DOUBLE Type for real-valued parameters.

Integer

INTEGER Type for integral parameters.

Categorical

CATEGORICAL The parameter is categorical, with a value chosen from the categories field.

Discrete

DISCRETE The parameter is real valued, with a fixed set of feasible points. If `type==DISCRETE`, feasible_points must be provided, and {`min_value`, `max_value`} will be ignored.

Instances

Enum GoogleCloudMlV1beta1__ParameterSpecType Source # 
Eq GoogleCloudMlV1beta1__ParameterSpecType Source # 
Data GoogleCloudMlV1beta1__ParameterSpecType Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__ParameterSpecType -> c GoogleCloudMlV1beta1__ParameterSpecType #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__ParameterSpecType #

toConstr :: GoogleCloudMlV1beta1__ParameterSpecType -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__ParameterSpecType -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__ParameterSpecType) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__ParameterSpecType) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__ParameterSpecType -> GoogleCloudMlV1beta1__ParameterSpecType #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__ParameterSpecType -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__ParameterSpecType -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__ParameterSpecType -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__ParameterSpecType -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ParameterSpecType -> m GoogleCloudMlV1beta1__ParameterSpecType #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ParameterSpecType -> m GoogleCloudMlV1beta1__ParameterSpecType #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ParameterSpecType -> m GoogleCloudMlV1beta1__ParameterSpecType #

Ord GoogleCloudMlV1beta1__ParameterSpecType Source # 
Read GoogleCloudMlV1beta1__ParameterSpecType Source # 
Show GoogleCloudMlV1beta1__ParameterSpecType Source # 
Generic GoogleCloudMlV1beta1__ParameterSpecType Source # 
Hashable GoogleCloudMlV1beta1__ParameterSpecType Source # 
ToJSON GoogleCloudMlV1beta1__ParameterSpecType Source # 
FromJSON GoogleCloudMlV1beta1__ParameterSpecType Source # 
FromHttpApiData GoogleCloudMlV1beta1__ParameterSpecType Source # 
ToHttpApiData GoogleCloudMlV1beta1__ParameterSpecType Source # 
type Rep GoogleCloudMlV1beta1__ParameterSpecType Source # 
type Rep GoogleCloudMlV1beta1__ParameterSpecType = D1 (MetaData "GoogleCloudMlV1beta1__ParameterSpecType" "Network.Google.MachineLearning.Types.Sum" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) ((:+:) ((:+:) (C1 (MetaCons "ParameterTypeUnspecified" PrefixI False) U1) (C1 (MetaCons "Double" PrefixI False) U1)) ((:+:) (C1 (MetaCons "Integer" PrefixI False) U1) ((:+:) (C1 (MetaCons "Categorical" PrefixI False) U1) (C1 (MetaCons "Discrete" PrefixI False) U1))))

GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters

data GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters Source #

The hyperparameters given to this trial.

See: googleCloudMlV1beta1__HyperparameterOutputHyperparameters smart constructor.

Instances

Eq GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters Source # 
Data GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters -> c GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters #

toConstr :: GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters -> GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters -> m GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters -> m GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters -> m GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters #

Show GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters Source # 
Generic GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters Source # 
ToJSON GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters Source # 
FromJSON GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters Source # 
type Rep GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters Source # 
type Rep GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters = D1 (MetaData "GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" True) (C1 (MetaCons "GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters'" PrefixI True) (S1 (MetaSel (Just Symbol "_gcmvhohAddtional") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (HashMap Text Text))))

googleCloudMlV1beta1__HyperparameterOutputHyperparameters Source #

Creates a value of GoogleCloudMlV1beta1__HyperparameterOutputHyperparameters with the minimum fields required to make a request.

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

GoogleRpc__Status

data GoogleRpc__Status Source #

The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. The error model is designed to be: - Simple to use and understand for most users - Flexible enough to meet unexpected needs # Overview The `Status` message contains three pieces of data: error code, error message, and error details. The error code should be an enum value of google.rpc.Code, but it may accept additional error codes if needed. The error message should be a developer-facing English message that helps developers *understand* and *resolve* the error. If a localized user-facing error message is needed, put the localized message in the error details or localize it in the client. The optional error details may contain arbitrary information about the error. There is a predefined set of error detail types in the package `google.rpc` which can be used for common error conditions. # Language mapping The `Status` message is the logical representation of the error model, but it is not necessarily the actual wire format. When the `Status` message is exposed in different client libraries and different wire protocols, it can be mapped differently. For example, it will likely be mapped to some exceptions in Java, but more likely mapped to some error codes in C. # Other uses The error model and the `Status` message can be used in a variety of environments, either with or without APIs, to provide a consistent developer experience across different environments. Example uses of this error model include: - Partial errors. If a service needs to return partial errors to the client, it may embed the `Status` in the normal response to indicate the partial errors. - Workflow errors. A typical workflow has multiple steps. Each step may have a `Status` message for error reporting purpose. - Batch operations. If a client uses batch request and batch response, the `Status` message should be used directly inside batch response, one for each error sub-response. - Asynchronous operations. If an API call embeds asynchronous operation results in its response, the status of those operations should be represented directly using the `Status` message. - Logging. If some API errors are stored in logs, the message `Status` could be used directly after any stripping needed for security/privacy reasons.

See: googleRpc__Status smart constructor.

Instances

Eq GoogleRpc__Status Source # 
Data GoogleRpc__Status Source # 

Methods

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

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

toConstr :: GoogleRpc__Status -> Constr #

dataTypeOf :: GoogleRpc__Status -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleRpc__Status) #

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

gmapT :: (forall b. Data b => b -> b) -> GoogleRpc__Status -> GoogleRpc__Status #

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

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

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

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

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

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

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

Show GoogleRpc__Status Source # 
Generic GoogleRpc__Status Source # 
ToJSON GoogleRpc__Status Source # 
FromJSON GoogleRpc__Status Source # 
type Rep GoogleRpc__Status Source # 
type Rep GoogleRpc__Status = D1 (MetaData "GoogleRpc__Status" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleRpc__Status'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_grsDetails") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [GoogleRpc__StatusDetailsItem]))) ((:*:) (S1 (MetaSel (Just Symbol "_grsCode") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int32)))) (S1 (MetaSel (Just Symbol "_grsMessage") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))))

googleRpc__Status :: GoogleRpc__Status Source #

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

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

grsDetails :: Lens' GoogleRpc__Status [GoogleRpc__StatusDetailsItem] Source #

A list of messages that carry the error details. There will be a common set of message types for APIs to use.

grsCode :: Lens' GoogleRpc__Status (Maybe Int32) Source #

The status code, which should be an enum value of google.rpc.Code.

grsMessage :: Lens' GoogleRpc__Status (Maybe Text) Source #

A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

GoogleLongrunning__OperationMetadata

data GoogleLongrunning__OperationMetadata Source #

Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.

See: googleLongrunning__OperationMetadata smart constructor.

Instances

Eq GoogleLongrunning__OperationMetadata Source # 
Data GoogleLongrunning__OperationMetadata Source # 

Methods

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

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

toConstr :: GoogleLongrunning__OperationMetadata -> Constr #

dataTypeOf :: GoogleLongrunning__OperationMetadata -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleLongrunning__OperationMetadata) #

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

gmapT :: (forall b. Data b => b -> b) -> GoogleLongrunning__OperationMetadata -> GoogleLongrunning__OperationMetadata #

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

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

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

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

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

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

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

Show GoogleLongrunning__OperationMetadata Source # 
Generic GoogleLongrunning__OperationMetadata Source # 
ToJSON GoogleLongrunning__OperationMetadata Source # 
FromJSON GoogleLongrunning__OperationMetadata Source # 
type Rep GoogleLongrunning__OperationMetadata Source # 
type Rep GoogleLongrunning__OperationMetadata = D1 (MetaData "GoogleLongrunning__OperationMetadata" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" True) (C1 (MetaCons "GoogleLongrunning__OperationMetadata'" PrefixI True) (S1 (MetaSel (Just Symbol "_glomAddtional") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (HashMap Text JSONValue))))

googleLongrunning__OperationMetadata Source #

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

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

glomAddtional :: Lens' GoogleLongrunning__OperationMetadata (HashMap Text JSONValue) Source #

Properties of the object. Contains field 'type with type URL.

GoogleCloudMlV1beta1__PredictionOutput

data GoogleCloudMlV1beta1__PredictionOutput Source #

Represents results of a prediction job.

See: googleCloudMlV1beta1__PredictionOutput smart constructor.

Instances

Eq GoogleCloudMlV1beta1__PredictionOutput Source # 
Data GoogleCloudMlV1beta1__PredictionOutput Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__PredictionOutput -> c GoogleCloudMlV1beta1__PredictionOutput #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__PredictionOutput #

toConstr :: GoogleCloudMlV1beta1__PredictionOutput -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__PredictionOutput -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__PredictionOutput) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__PredictionOutput) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__PredictionOutput -> GoogleCloudMlV1beta1__PredictionOutput #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__PredictionOutput -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__PredictionOutput -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__PredictionOutput -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__PredictionOutput -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__PredictionOutput -> m GoogleCloudMlV1beta1__PredictionOutput #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__PredictionOutput -> m GoogleCloudMlV1beta1__PredictionOutput #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__PredictionOutput -> m GoogleCloudMlV1beta1__PredictionOutput #

Show GoogleCloudMlV1beta1__PredictionOutput Source # 
Generic GoogleCloudMlV1beta1__PredictionOutput Source # 
ToJSON GoogleCloudMlV1beta1__PredictionOutput Source # 
FromJSON GoogleCloudMlV1beta1__PredictionOutput Source # 
type Rep GoogleCloudMlV1beta1__PredictionOutput Source # 
type Rep GoogleCloudMlV1beta1__PredictionOutput = D1 (MetaData "GoogleCloudMlV1beta1__PredictionOutput" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__PredictionOutput'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvpoErrorCount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64)))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvpoPredictionCount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64)))) (S1 (MetaSel (Just Symbol "_gcmvpoOutputPath") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))))

googleCloudMlV1beta1__PredictionOutput :: GoogleCloudMlV1beta1__PredictionOutput Source #

Creates a value of GoogleCloudMlV1beta1__PredictionOutput with the minimum fields required to make a request.

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

gcmvpoErrorCount :: Lens' GoogleCloudMlV1beta1__PredictionOutput (Maybe Int64) Source #

The number of data instances which resulted in errors.

gcmvpoOutputPath :: Lens' GoogleCloudMlV1beta1__PredictionOutput (Maybe Text) Source #

The output Google Cloud Storage location provided at the job creation time.

Xgafv

data Xgafv Source #

V1 error format.

Constructors

X1

1 v1 error format

X2

2 v2 error format

Instances

Enum Xgafv Source # 
Eq Xgafv Source # 

Methods

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

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

Data Xgafv Source # 

Methods

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

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

toConstr :: Xgafv -> Constr #

dataTypeOf :: Xgafv -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c Xgafv) #

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

gmapT :: (forall b. Data b => b -> b) -> Xgafv -> Xgafv #

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

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

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

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

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

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

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

Ord Xgafv Source # 

Methods

compare :: Xgafv -> Xgafv -> Ordering #

(<) :: Xgafv -> Xgafv -> Bool #

(<=) :: Xgafv -> Xgafv -> Bool #

(>) :: Xgafv -> Xgafv -> Bool #

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

max :: Xgafv -> Xgafv -> Xgafv #

min :: Xgafv -> Xgafv -> Xgafv #

Read Xgafv Source # 
Show Xgafv Source # 

Methods

showsPrec :: Int -> Xgafv -> ShowS #

show :: Xgafv -> String #

showList :: [Xgafv] -> ShowS #

Generic Xgafv Source # 

Associated Types

type Rep Xgafv :: * -> * #

Methods

from :: Xgafv -> Rep Xgafv x #

to :: Rep Xgafv x -> Xgafv #

Hashable Xgafv Source # 

Methods

hashWithSalt :: Int -> Xgafv -> Int #

hash :: Xgafv -> Int #

ToJSON Xgafv Source # 
FromJSON Xgafv Source # 
FromHttpApiData Xgafv Source # 
ToHttpApiData Xgafv Source # 
type Rep Xgafv Source # 
type Rep Xgafv = D1 (MetaData "Xgafv" "Network.Google.MachineLearning.Types.Sum" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) ((:+:) (C1 (MetaCons "X1" PrefixI False) U1) (C1 (MetaCons "X2" PrefixI False) U1))

GoogleCloudMlV1beta1__HyperparameterSpecGoal

data GoogleCloudMlV1beta1__HyperparameterSpecGoal Source #

Required. The type of goal to use for tuning. Available types are `MAXIMIZE` and `MINIMIZE`. Defaults to `MAXIMIZE`.

Constructors

GoalTypeUnspecified

GOAL_TYPE_UNSPECIFIED Goal Type will default to maximize.

Maximize

MAXIMIZE Maximize the goal metric.

Minimize

MINIMIZE Minimize the goal metric.

Instances

Enum GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
Eq GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
Data GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__HyperparameterSpecGoal -> c GoogleCloudMlV1beta1__HyperparameterSpecGoal #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__HyperparameterSpecGoal #

toConstr :: GoogleCloudMlV1beta1__HyperparameterSpecGoal -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__HyperparameterSpecGoal -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__HyperparameterSpecGoal) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__HyperparameterSpecGoal) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__HyperparameterSpecGoal -> GoogleCloudMlV1beta1__HyperparameterSpecGoal #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__HyperparameterSpecGoal -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__HyperparameterSpecGoal -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__HyperparameterSpecGoal -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__HyperparameterSpecGoal -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterSpecGoal -> m GoogleCloudMlV1beta1__HyperparameterSpecGoal #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterSpecGoal -> m GoogleCloudMlV1beta1__HyperparameterSpecGoal #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__HyperparameterSpecGoal -> m GoogleCloudMlV1beta1__HyperparameterSpecGoal #

Ord GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
Read GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
Show GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
Generic GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
Hashable GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
ToJSON GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
FromJSON GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
FromHttpApiData GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
ToHttpApiData GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
type Rep GoogleCloudMlV1beta1__HyperparameterSpecGoal Source # 
type Rep GoogleCloudMlV1beta1__HyperparameterSpecGoal = D1 (MetaData "GoogleCloudMlV1beta1__HyperparameterSpecGoal" "Network.Google.MachineLearning.Types.Sum" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) ((:+:) (C1 (MetaCons "GoalTypeUnspecified" PrefixI False) U1) ((:+:) (C1 (MetaCons "Maximize" PrefixI False) U1) (C1 (MetaCons "Minimize" PrefixI False) U1)))

GoogleCloudMlV1beta1__PredictionInputDataFormat

data GoogleCloudMlV1beta1__PredictionInputDataFormat Source #

Required. The format of the input data files.

Constructors

DataFormatUnspecified

DATA_FORMAT_UNSPECIFIED Unspecified format.

Text

TEXT The source file is a text file with instances separated by the new-line character.

TfRecord

TF_RECORD The source file is a TFRecord file.

TfRecordGzip

TF_RECORD_GZIP The source file is a GZIP-compressed TFRecord file.

Instances

Enum GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
Eq GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
Data GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__PredictionInputDataFormat -> c GoogleCloudMlV1beta1__PredictionInputDataFormat #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__PredictionInputDataFormat #

toConstr :: GoogleCloudMlV1beta1__PredictionInputDataFormat -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__PredictionInputDataFormat -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__PredictionInputDataFormat) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__PredictionInputDataFormat) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__PredictionInputDataFormat -> GoogleCloudMlV1beta1__PredictionInputDataFormat #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__PredictionInputDataFormat -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__PredictionInputDataFormat -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__PredictionInputDataFormat -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__PredictionInputDataFormat -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__PredictionInputDataFormat -> m GoogleCloudMlV1beta1__PredictionInputDataFormat #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__PredictionInputDataFormat -> m GoogleCloudMlV1beta1__PredictionInputDataFormat #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__PredictionInputDataFormat -> m GoogleCloudMlV1beta1__PredictionInputDataFormat #

Ord GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
Read GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
Show GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
Generic GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
Hashable GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
ToJSON GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
FromJSON GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
FromHttpApiData GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
ToHttpApiData GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
type Rep GoogleCloudMlV1beta1__PredictionInputDataFormat Source # 
type Rep GoogleCloudMlV1beta1__PredictionInputDataFormat = D1 (MetaData "GoogleCloudMlV1beta1__PredictionInputDataFormat" "Network.Google.MachineLearning.Types.Sum" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) ((:+:) ((:+:) (C1 (MetaCons "DataFormatUnspecified" PrefixI False) U1) (C1 (MetaCons "Text" PrefixI False) U1)) ((:+:) (C1 (MetaCons "TfRecord" PrefixI False) U1) (C1 (MetaCons "TfRecordGzip" PrefixI False) U1)))

GoogleCloudMlV1beta1__CancelJobRequest

data GoogleCloudMlV1beta1__CancelJobRequest Source #

Request message for the CancelJob method.

See: googleCloudMlV1beta1__CancelJobRequest smart constructor.

Instances

Eq GoogleCloudMlV1beta1__CancelJobRequest Source # 
Data GoogleCloudMlV1beta1__CancelJobRequest Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__CancelJobRequest -> c GoogleCloudMlV1beta1__CancelJobRequest #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__CancelJobRequest #

toConstr :: GoogleCloudMlV1beta1__CancelJobRequest -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__CancelJobRequest -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__CancelJobRequest) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__CancelJobRequest) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__CancelJobRequest -> GoogleCloudMlV1beta1__CancelJobRequest #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__CancelJobRequest -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__CancelJobRequest -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__CancelJobRequest -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__CancelJobRequest -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__CancelJobRequest -> m GoogleCloudMlV1beta1__CancelJobRequest #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__CancelJobRequest -> m GoogleCloudMlV1beta1__CancelJobRequest #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__CancelJobRequest -> m GoogleCloudMlV1beta1__CancelJobRequest #

Show GoogleCloudMlV1beta1__CancelJobRequest Source # 
Generic GoogleCloudMlV1beta1__CancelJobRequest Source # 
ToJSON GoogleCloudMlV1beta1__CancelJobRequest Source # 
FromJSON GoogleCloudMlV1beta1__CancelJobRequest Source # 
type Rep GoogleCloudMlV1beta1__CancelJobRequest Source # 
type Rep GoogleCloudMlV1beta1__CancelJobRequest = D1 (MetaData "GoogleCloudMlV1beta1__CancelJobRequest" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__CancelJobRequest'" PrefixI False) U1)

GoogleCloudMlV1beta1__ListModelsResponse

data GoogleCloudMlV1beta1__ListModelsResponse Source #

Response message for the ListModels method.

See: googleCloudMlV1beta1__ListModelsResponse smart constructor.

Instances

Eq GoogleCloudMlV1beta1__ListModelsResponse Source # 
Data GoogleCloudMlV1beta1__ListModelsResponse Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__ListModelsResponse -> c GoogleCloudMlV1beta1__ListModelsResponse #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__ListModelsResponse #

toConstr :: GoogleCloudMlV1beta1__ListModelsResponse -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__ListModelsResponse -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__ListModelsResponse) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__ListModelsResponse) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__ListModelsResponse -> GoogleCloudMlV1beta1__ListModelsResponse #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__ListModelsResponse -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__ListModelsResponse -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__ListModelsResponse -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__ListModelsResponse -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ListModelsResponse -> m GoogleCloudMlV1beta1__ListModelsResponse #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ListModelsResponse -> m GoogleCloudMlV1beta1__ListModelsResponse #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ListModelsResponse -> m GoogleCloudMlV1beta1__ListModelsResponse #

Show GoogleCloudMlV1beta1__ListModelsResponse Source # 
Generic GoogleCloudMlV1beta1__ListModelsResponse Source # 
ToJSON GoogleCloudMlV1beta1__ListModelsResponse Source # 
FromJSON GoogleCloudMlV1beta1__ListModelsResponse Source # 
type Rep GoogleCloudMlV1beta1__ListModelsResponse Source # 
type Rep GoogleCloudMlV1beta1__ListModelsResponse = D1 (MetaData "GoogleCloudMlV1beta1__ListModelsResponse" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__ListModelsResponse'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvlmrNextPageToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gcmvlmrModels") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [GoogleCloudMlV1beta1__Model])))))

googleCloudMlV1beta1__ListModelsResponse :: GoogleCloudMlV1beta1__ListModelsResponse Source #

Creates a value of GoogleCloudMlV1beta1__ListModelsResponse with the minimum fields required to make a request.

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

gcmvlmrNextPageToken :: Lens' GoogleCloudMlV1beta1__ListModelsResponse (Maybe Text) Source #

Optional. Pass this token as the `page_token` field of the request for a subsequent call.

GoogleCloudMlV1beta1__ListJobsResponse

data GoogleCloudMlV1beta1__ListJobsResponse Source #

Response message for the ListJobs method.

See: googleCloudMlV1beta1__ListJobsResponse smart constructor.

Instances

Eq GoogleCloudMlV1beta1__ListJobsResponse Source # 
Data GoogleCloudMlV1beta1__ListJobsResponse Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__ListJobsResponse -> c GoogleCloudMlV1beta1__ListJobsResponse #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__ListJobsResponse #

toConstr :: GoogleCloudMlV1beta1__ListJobsResponse -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__ListJobsResponse -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__ListJobsResponse) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__ListJobsResponse) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__ListJobsResponse -> GoogleCloudMlV1beta1__ListJobsResponse #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__ListJobsResponse -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__ListJobsResponse -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__ListJobsResponse -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__ListJobsResponse -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ListJobsResponse -> m GoogleCloudMlV1beta1__ListJobsResponse #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ListJobsResponse -> m GoogleCloudMlV1beta1__ListJobsResponse #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ListJobsResponse -> m GoogleCloudMlV1beta1__ListJobsResponse #

Show GoogleCloudMlV1beta1__ListJobsResponse Source # 
Generic GoogleCloudMlV1beta1__ListJobsResponse Source # 
ToJSON GoogleCloudMlV1beta1__ListJobsResponse Source # 
FromJSON GoogleCloudMlV1beta1__ListJobsResponse Source # 
type Rep GoogleCloudMlV1beta1__ListJobsResponse Source # 
type Rep GoogleCloudMlV1beta1__ListJobsResponse = D1 (MetaData "GoogleCloudMlV1beta1__ListJobsResponse" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__ListJobsResponse'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvljrNextPageToken") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gcmvljrJobs") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [GoogleCloudMlV1beta1__Job])))))

googleCloudMlV1beta1__ListJobsResponse :: GoogleCloudMlV1beta1__ListJobsResponse Source #

Creates a value of GoogleCloudMlV1beta1__ListJobsResponse with the minimum fields required to make a request.

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

gcmvljrNextPageToken :: Lens' GoogleCloudMlV1beta1__ListJobsResponse (Maybe Text) Source #

Optional. Pass this token as the `page_token` field of the request for a subsequent call.

GoogleCloudMlV1beta1__TrainingInput

data GoogleCloudMlV1beta1__TrainingInput Source #

Represents input parameters for a training job.

See: googleCloudMlV1beta1__TrainingInput smart constructor.

Instances

Eq GoogleCloudMlV1beta1__TrainingInput Source # 
Data GoogleCloudMlV1beta1__TrainingInput Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__TrainingInput -> c GoogleCloudMlV1beta1__TrainingInput #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__TrainingInput #

toConstr :: GoogleCloudMlV1beta1__TrainingInput -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__TrainingInput -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__TrainingInput) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__TrainingInput) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__TrainingInput -> GoogleCloudMlV1beta1__TrainingInput #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__TrainingInput -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__TrainingInput -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__TrainingInput -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__TrainingInput -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__TrainingInput -> m GoogleCloudMlV1beta1__TrainingInput #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__TrainingInput -> m GoogleCloudMlV1beta1__TrainingInput #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__TrainingInput -> m GoogleCloudMlV1beta1__TrainingInput #

Show GoogleCloudMlV1beta1__TrainingInput Source # 
Generic GoogleCloudMlV1beta1__TrainingInput Source # 
ToJSON GoogleCloudMlV1beta1__TrainingInput Source # 
FromJSON GoogleCloudMlV1beta1__TrainingInput Source # 
type Rep GoogleCloudMlV1beta1__TrainingInput Source # 
type Rep GoogleCloudMlV1beta1__TrainingInput = D1 (MetaData "GoogleCloudMlV1beta1__TrainingInput" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1__TrainingInput'" PrefixI True) ((:*:) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvtiMasterType") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gcmvtiParameterServerCount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64))))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvtiArgs") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [Text]))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvtiWorkerCount") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64)))) (S1 (MetaSel (Just Symbol "_gcmvtiWorkerType") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))))) ((:*:) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvtiPythonModule") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvtiParameterServerType") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))) (S1 (MetaSel (Just Symbol "_gcmvtiHyperparameters") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__HyperparameterSpec))))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvtiPackageURIs") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [Text]))) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvtiScaleTier") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe GoogleCloudMlV1beta1__TrainingInputScaleTier))) (S1 (MetaSel (Just Symbol "_gcmvtiRegion") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text))))))))

gcmvtiMasterType :: Lens' GoogleCloudMlV1beta1__TrainingInput (Maybe Text) Source #

Optional. Specifies the type of virtual machine to use for your training job's master worker. The following types are supported:

standard
A basic machine configuration suitable for training simple models with small to moderate datasets.
large_model
A machine with a lot of memory, specially suited for parameter servers when your model is large (having many hidden layers or layers with very large numbers of nodes).
complex_model_s
A machine suitable for the master and workers of the cluster when your model requires more computation than the standard machine can handle satisfactorily.
complex_model_m
A machine with roughly twice the number of cores and roughly double the memory of complex_model_s.
complex_model_l
A machine with roughly twice the number of cores and roughly double the memory of complex_model_m.

You must set this value when `scaleTier` is set to `CUSTOM`.

gcmvtiParameterServerCount :: Lens' GoogleCloudMlV1beta1__TrainingInput (Maybe Int64) Source #

Optional. The number of parameter server replicas to use for the training job. Each replica in the cluster will be of the type specified in `parameter_server_type`. This value can only be used when `scale_tier` is set to `CUSTOM`.If you set this value, you must also set `parameter_server_type`.

gcmvtiArgs :: Lens' GoogleCloudMlV1beta1__TrainingInput [Text] Source #

Optional. Command line arguments to pass to the program.

gcmvtiWorkerCount :: Lens' GoogleCloudMlV1beta1__TrainingInput (Maybe Int64) Source #

Optional. The number of worker replicas to use for the training job. Each replica in the cluster will be of the type specified in `worker_type`. This value can only be used when `scale_tier` is set to `CUSTOM`. If you set this value, you must also set `worker_type`.

gcmvtiWorkerType :: Lens' GoogleCloudMlV1beta1__TrainingInput (Maybe Text) Source #

Optional. Specifies the type of virtual machine to use for your training job's worker nodes. The supported values are the same as those described in the entry for `masterType`. This value must be present when `scaleTier` is set to `CUSTOM` and `workerCount` is greater than zero.

gcmvtiPythonModule :: Lens' GoogleCloudMlV1beta1__TrainingInput (Maybe Text) Source #

Required. The Python module name to run after installing the packages.

gcmvtiParameterServerType :: Lens' GoogleCloudMlV1beta1__TrainingInput (Maybe Text) Source #

Optional. Specifies the type of virtual machine to use for your training job's parameter server. The supported values are the same as those described in the entry for `master_type`. This value must be present when `scaleTier` is set to `CUSTOM` and `parameter_server_count` is greater than zero.

gcmvtiPackageURIs :: Lens' GoogleCloudMlV1beta1__TrainingInput [Text] Source #

Required. The Google Cloud Storage location of the packages with the training program and any additional dependencies.

gcmvtiScaleTier :: Lens' GoogleCloudMlV1beta1__TrainingInput (Maybe GoogleCloudMlV1beta1__TrainingInputScaleTier) Source #

Required. Specifies the machine types, the number of replicas for workers and parameter servers.

gcmvtiRegion :: Lens' GoogleCloudMlV1beta1__TrainingInput (Maybe Text) Source #

Required. The Google Compute Engine region to run the training job in.

GoogleRpc__StatusDetailsItem

data GoogleRpc__StatusDetailsItem Source #

Instances

Eq GoogleRpc__StatusDetailsItem Source # 
Data GoogleRpc__StatusDetailsItem Source # 

Methods

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

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

toConstr :: GoogleRpc__StatusDetailsItem -> Constr #

dataTypeOf :: GoogleRpc__StatusDetailsItem -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleRpc__StatusDetailsItem) #

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

gmapT :: (forall b. Data b => b -> b) -> GoogleRpc__StatusDetailsItem -> GoogleRpc__StatusDetailsItem #

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

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

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

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

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

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

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

Show GoogleRpc__StatusDetailsItem Source # 
Generic GoogleRpc__StatusDetailsItem Source # 
ToJSON GoogleRpc__StatusDetailsItem Source # 
FromJSON GoogleRpc__StatusDetailsItem Source # 
type Rep GoogleRpc__StatusDetailsItem Source # 
type Rep GoogleRpc__StatusDetailsItem = D1 (MetaData "GoogleRpc__StatusDetailsItem" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" True) (C1 (MetaCons "GoogleRpc__StatusDetailsItem'" PrefixI True) (S1 (MetaSel (Just Symbol "_grsdiAddtional") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 (HashMap Text JSONValue))))

googleRpc__StatusDetailsItem Source #

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

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

grsdiAddtional :: Lens' GoogleRpc__StatusDetailsItem (HashMap Text JSONValue) Source #

Properties of the object. Contains field 'type with type URL.

GoogleProtobuf__Empty

data GoogleProtobuf__Empty Source #

A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for `Empty` is empty JSON object `{}`.

See: googleProtobuf__Empty smart constructor.

Instances

Eq GoogleProtobuf__Empty Source # 
Data GoogleProtobuf__Empty Source # 

Methods

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

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

toConstr :: GoogleProtobuf__Empty -> Constr #

dataTypeOf :: GoogleProtobuf__Empty -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleProtobuf__Empty) #

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

gmapT :: (forall b. Data b => b -> b) -> GoogleProtobuf__Empty -> GoogleProtobuf__Empty #

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

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

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

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

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

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

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

Show GoogleProtobuf__Empty Source # 
Generic GoogleProtobuf__Empty Source # 
ToJSON GoogleProtobuf__Empty Source # 
FromJSON GoogleProtobuf__Empty Source # 
type Rep GoogleProtobuf__Empty Source # 
type Rep GoogleProtobuf__Empty = D1 (MetaData "GoogleProtobuf__Empty" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleProtobuf__Empty'" PrefixI False) U1)

googleProtobuf__Empty :: GoogleProtobuf__Empty Source #

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

GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric

data GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric Source #

An observed value of a metric.

See: googleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric smart constructor.

Instances

Eq GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric Source # 
Data GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric -> c GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric #

toConstr :: GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric -> GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric -> m GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric -> m GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric -> m GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric #

Show GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric Source # 
Generic GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric Source # 
ToJSON GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric Source # 
FromJSON GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric Source # 
type Rep GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric Source # 
type Rep GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric = D1 (MetaData "GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleCloudMlV1beta1_HyperparameterOutput_HyperparameterMetric'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_gcmvhohmTrainingStep") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Int64)))) (S1 (MetaSel (Just Symbol "_gcmvhohmObjectiveValue") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe (Textual Double))))))

GoogleCloudMlV1beta1__ParameterSpecScaleType

data GoogleCloudMlV1beta1__ParameterSpecScaleType Source #

Optional. How the parameter should be scaled to the hypercube. Leave unset for categorical parameters. Some kind of scaling is strongly recommended for real or integral parameters (e.g., `UNIT_LINEAR_SCALE`).

Constructors

None

NONE By default, no scaling is applied.

UnitLinearScale

UNIT_LINEAR_SCALE Scales the feasible space to (0, 1) linearly.

UnitLogScale

UNIT_LOG_SCALE Scales the feasible space logarithmically to (0, 1). The entire feasible space must be strictly positive.

UnitReverseLogScale

UNIT_REVERSE_LOG_SCALE Scales the feasible space "reverse" logarithmically to (0, 1). The result is that values close to the top of the feasible space are spread out more than points near the bottom. The entire feasible space must be strictly positive.

Instances

Enum GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
Eq GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
Data GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GoogleCloudMlV1beta1__ParameterSpecScaleType -> c GoogleCloudMlV1beta1__ParameterSpecScaleType #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GoogleCloudMlV1beta1__ParameterSpecScaleType #

toConstr :: GoogleCloudMlV1beta1__ParameterSpecScaleType -> Constr #

dataTypeOf :: GoogleCloudMlV1beta1__ParameterSpecScaleType -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleCloudMlV1beta1__ParameterSpecScaleType) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GoogleCloudMlV1beta1__ParameterSpecScaleType) #

gmapT :: (forall b. Data b => b -> b) -> GoogleCloudMlV1beta1__ParameterSpecScaleType -> GoogleCloudMlV1beta1__ParameterSpecScaleType #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__ParameterSpecScaleType -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GoogleCloudMlV1beta1__ParameterSpecScaleType -> r #

gmapQ :: (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__ParameterSpecScaleType -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> GoogleCloudMlV1beta1__ParameterSpecScaleType -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ParameterSpecScaleType -> m GoogleCloudMlV1beta1__ParameterSpecScaleType #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ParameterSpecScaleType -> m GoogleCloudMlV1beta1__ParameterSpecScaleType #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GoogleCloudMlV1beta1__ParameterSpecScaleType -> m GoogleCloudMlV1beta1__ParameterSpecScaleType #

Ord GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
Read GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
Show GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
Generic GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
Hashable GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
ToJSON GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
FromJSON GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
FromHttpApiData GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
ToHttpApiData GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
type Rep GoogleCloudMlV1beta1__ParameterSpecScaleType Source # 
type Rep GoogleCloudMlV1beta1__ParameterSpecScaleType = D1 (MetaData "GoogleCloudMlV1beta1__ParameterSpecScaleType" "Network.Google.MachineLearning.Types.Sum" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) ((:+:) ((:+:) (C1 (MetaCons "None" PrefixI False) U1) (C1 (MetaCons "UnitLinearScale" PrefixI False) U1)) ((:+:) (C1 (MetaCons "UnitLogScale" PrefixI False) U1) (C1 (MetaCons "UnitReverseLogScale" PrefixI False) U1)))

GoogleAPI__HTTPBody

data GoogleAPI__HTTPBody Source #

Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.

See: googleAPI__HTTPBody smart constructor.

Instances

Eq GoogleAPI__HTTPBody Source # 
Data GoogleAPI__HTTPBody Source # 

Methods

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

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

toConstr :: GoogleAPI__HTTPBody -> Constr #

dataTypeOf :: GoogleAPI__HTTPBody -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c GoogleAPI__HTTPBody) #

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

gmapT :: (forall b. Data b => b -> b) -> GoogleAPI__HTTPBody -> GoogleAPI__HTTPBody #

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

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

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

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

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

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

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

Show GoogleAPI__HTTPBody Source # 
Generic GoogleAPI__HTTPBody Source # 
ToJSON GoogleAPI__HTTPBody Source # 
FromJSON GoogleAPI__HTTPBody Source # 
type Rep GoogleAPI__HTTPBody Source # 
type Rep GoogleAPI__HTTPBody = D1 (MetaData "GoogleAPI__HTTPBody" "Network.Google.MachineLearning.Types.Product" "gogol-ml-0.1.1-Dzgxn9GWYy2Ji4gTFYxTtb" False) (C1 (MetaCons "GoogleAPI__HTTPBody'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_gahttpbData") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Base64))) (S1 (MetaSel (Just Symbol "_gahttpbContentType") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)))))

googleAPI__HTTPBody :: GoogleAPI__HTTPBody Source #

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

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

gahttpbContentType :: Lens' GoogleAPI__HTTPBody (Maybe Text) Source #

The HTTP Content-Type string representing the content type of the body.

GoogleCloudMlV1beta1__PredictRequest

data GoogleCloudMlV1beta1__PredictRequest Source #

Request for predictions to be issued against a trained model. The body of the request is a single JSON object with a single top-level field:

instances
A JSON array containing values representing the instances to use for prediction.

The structure of each element of the instances list is determined by your model's input definition. Instances can include named inputs or can contain only unlabeled values. Most data does not include named inputs. Some instances will be simple JSON values (boolean, number, or string). However, instances are often lists of simple values, or complex nested lists. Here are some examples of request bodies: CSV data with each row encoded as a string value:

{"instances": ["1.0,true,\\"x\\&qu