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

Amazonka.Forecast.DescribePredictor

Contents

Creating a Request
Request Lenses
Destructuring the Response
Response Lenses

Description

Describes a predictor created using the CreatePredictor operation.

In addition to listing the properties provided in the CreatePredictor request, this operation lists the following properties:

DatasetImportJobArns - The dataset import jobs used to import training data.
AutoMLAlgorithmArns - If AutoML is performed, the algorithms that were evaluated.
```
CreationTime
```
```
LastModificationTime
```
```
Status
```
Message - If an error occurred, information about the error.

Synopsis

Creating a Request

data DescribePredictor Source #

See: newDescribePredictor smart constructor.

Constructors

DescribePredictor'
Fields predictorArn :: Text The Amazon Resource Name (ARN) of the predictor that you want information about.

Instances

Instances details

Eq DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods (==) :: DescribePredictor -> DescribePredictor -> Bool # (/=) :: DescribePredictor -> DescribePredictor -> Bool #
Read DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods readsPrec :: Int -> ReadS DescribePredictor # readList :: ReadS [DescribePredictor] # readPrec :: ReadPrec DescribePredictor # readListPrec :: ReadPrec [DescribePredictor] #
Show DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods showsPrec :: Int -> DescribePredictor -> ShowS # show :: DescribePredictor -> String # showList :: [DescribePredictor] -> ShowS #
Generic DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Associated Types type Rep DescribePredictor :: Type -> Type # Methods from :: DescribePredictor -> Rep DescribePredictor x # to :: Rep DescribePredictor x -> DescribePredictor #
NFData DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods rnf :: DescribePredictor -> () #
Hashable DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods hashWithSalt :: Int -> DescribePredictor -> Int # hash :: DescribePredictor -> Int #
ToJSON DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods toJSON :: DescribePredictor -> Value # toEncoding :: DescribePredictor -> Encoding # toJSONList :: [DescribePredictor] -> Value # toEncodingList :: [DescribePredictor] -> Encoding #
AWSRequest DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Associated Types type AWSResponse DescribePredictor # Methods request :: DescribePredictor -> Request DescribePredictor # response :: MonadResource m => Logger -> Service -> Proxy DescribePredictor -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DescribePredictor))) #
ToHeaders DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods toHeaders :: DescribePredictor -> [Header] #
ToPath DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods toPath :: DescribePredictor -> ByteString #
ToQuery DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods toQuery :: DescribePredictor -> QueryString #
type Rep DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor type Rep DescribePredictor = D1 ('MetaData "DescribePredictor" "Amazonka.Forecast.DescribePredictor" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribePredictor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))
type AWSResponse DescribePredictor Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor type AWSResponse DescribePredictor = DescribePredictorResponse

newDescribePredictor Source #

Arguments

:: Text	`$sel:predictorArn:DescribePredictor'`
-> DescribePredictor

Create a value of DescribePredictor with all optional fields omitted.

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

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

$sel:predictorArn:DescribePredictor', describePredictor_predictorArn - The Amazon Resource Name (ARN) of the predictor that you want information about.

Request Lenses

describePredictor_predictorArn :: Lens' DescribePredictor Text Source #

The Amazon Resource Name (ARN) of the predictor that you want information about.

Destructuring the Response

data DescribePredictorResponse Source #

See: newDescribePredictorResponse smart constructor.

Constructors

DescribePredictorResponse'

Fields

creationTime :: Maybe POSIX
When the model training task was created.
forecastHorizon :: Maybe Int
The number of time-steps of the forecast. The forecast horizon is also called the prediction length.
status :: Maybe Text
The status of the predictor. States include:
- ```
ACTIVE
```
- CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
- DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
- CREATE_STOPPING, CREATE_STOPPED
The Status of the predictor must be ACTIVE before you can use the predictor to create a forecast.
performAutoML :: Maybe Bool
Whether the predictor is set to perform AutoML.
autoMLAlgorithmArns :: Maybe [Text]
When PerformAutoML is specified, the ARN of the chosen algorithm.
trainingParameters :: Maybe (HashMap Text Text)
The default training parameters or overrides selected during model training. When running AutoML or choosing HPO with CNN-QR or DeepAR+, the optimized values for the chosen hyperparameters are returned. For more information, see aws-forecast-choosing-recipes.
algorithmArn :: Maybe Text
The Amazon Resource Name (ARN) of the algorithm used for model training.
hPOConfig :: Maybe HyperParameterTuningJobConfig
The hyperparameter override values for the algorithm.
predictorArn :: Maybe Text
The ARN of the predictor.
optimizationMetric :: Maybe OptimizationMetric
The accuracy metric used to optimize the predictor.
predictorExecutionDetails :: Maybe PredictorExecutionDetails
Details on the the status and results of the backtests performed to evaluate the accuracy of the predictor. You specify the number of backtests to perform when you call the operation.
datasetImportJobArns :: Maybe [Text]
An array of the ARNs of the dataset import jobs used to import training data for the predictor.
estimatedTimeRemainingInMinutes :: Maybe Integer
The estimated time remaining in minutes for the predictor training job to complete.
autoMLOverrideStrategy :: Maybe AutoMLOverrideStrategy
The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.
The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.
This parameter is only valid for predictors trained using AutoML.
evaluationParameters :: Maybe EvaluationParameters
Used to override the default evaluation parameters of the specified algorithm. Amazon Forecast evaluates a predictor by splitting a dataset into training data and testing data. The evaluation parameters define how to perform the split and the number of iterations.
inputDataConfig :: Maybe InputDataConfig
Describes the dataset group that contains the data to use to train the predictor.
predictorName :: Maybe Text
The name of the predictor.
featurizationConfig :: Maybe FeaturizationConfig
The featurization configuration.
encryptionConfig :: Maybe EncryptionConfig
An AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.
forecastTypes :: Maybe (NonEmpty Text)
The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"]
message :: Maybe Text
If an error occurred, an informational message about the error.
performHPO :: Maybe Bool
Whether the predictor is set to perform hyperparameter optimization (HPO).
lastModificationTime :: Maybe POSIX
The last time the resource was modified. The timestamp depends on the status of the job:
- CREATE_PENDING - The CreationTime.
- CREATE_IN_PROGRESS - The current timestamp.
- CREATE_STOPPING - The current timestamp.
- CREATE_STOPPED - When the job stopped.
- ACTIVE or CREATE_FAILED - When the job finished or failed.
httpStatus :: Int
The response's http status code.

Instances

Instances details

Eq DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods (==) :: DescribePredictorResponse -> DescribePredictorResponse -> Bool # (/=) :: DescribePredictorResponse -> DescribePredictorResponse -> Bool #
Read DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods readsPrec :: Int -> ReadS DescribePredictorResponse # readList :: ReadS [DescribePredictorResponse] # readPrec :: ReadPrec DescribePredictorResponse # readListPrec :: ReadPrec [DescribePredictorResponse] #
Show DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods showsPrec :: Int -> DescribePredictorResponse -> ShowS # show :: DescribePredictorResponse -> String # showList :: [DescribePredictorResponse] -> ShowS #
Generic DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Associated Types type Rep DescribePredictorResponse :: Type -> Type # Methods from :: DescribePredictorResponse -> Rep DescribePredictorResponse x # to :: Rep DescribePredictorResponse x -> DescribePredictorResponse #
NFData DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor Methods rnf :: DescribePredictorResponse -> () #
type Rep DescribePredictorResponse Source #
Instance details Defined in Amazonka.Forecast.DescribePredictor type Rep DescribePredictorResponse = D1 ('MetaData "DescribePredictorResponse" "Amazonka.Forecast.DescribePredictor" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "DescribePredictorResponse'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "forecastHorizon") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "performAutoML") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "autoMLAlgorithmArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :: S1 ('MetaSel ('Just "trainingParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))))) :: ((S1 ('MetaSel ('Just "algorithmArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "hPOConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobConfig)) :: S1 ('MetaSel ('Just "predictorArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "optimizationMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OptimizationMetric)) :: (S1 ('MetaSel ('Just "predictorExecutionDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PredictorExecutionDetails)) :: S1 ('MetaSel ('Just "datasetImportJobArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))))) :: (((S1 ('MetaSel ('Just "estimatedTimeRemainingInMinutes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: (S1 ('MetaSel ('Just "autoMLOverrideStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLOverrideStrategy)) :: S1 ('MetaSel ('Just "evaluationParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EvaluationParameters)))) :: (S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InputDataConfig)) :: (S1 ('MetaSel ('Just "predictorName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "featurizationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeaturizationConfig))))) :: ((S1 ('MetaSel ('Just "encryptionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EncryptionConfig)) :: (S1 ('MetaSel ('Just "forecastTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "performHPO") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "lastModificationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))))

newDescribePredictorResponse Source #

Arguments

:: Int	`$sel:httpStatus:DescribePredictorResponse'`
-> DescribePredictorResponse

Create a value of DescribePredictorResponse with all optional fields omitted.

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

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

$sel:creationTime:DescribePredictorResponse', describePredictorResponse_creationTime - When the model training task was created.

$sel:forecastHorizon:DescribePredictorResponse', describePredictorResponse_forecastHorizon - The number of time-steps of the forecast. The forecast horizon is also called the prediction length.

$sel:status:DescribePredictorResponse', describePredictorResponse_status - The status of the predictor. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
CREATE_STOPPING, CREATE_STOPPED

The Status of the predictor must be ACTIVE before you can use the predictor to create a forecast.

$sel:performAutoML:DescribePredictorResponse', describePredictorResponse_performAutoML - Whether the predictor is set to perform AutoML.

$sel:autoMLAlgorithmArns:DescribePredictorResponse', describePredictorResponse_autoMLAlgorithmArns - When PerformAutoML is specified, the ARN of the chosen algorithm.

$sel:trainingParameters:DescribePredictorResponse', describePredictorResponse_trainingParameters - The default training parameters or overrides selected during model training. When running AutoML or choosing HPO with CNN-QR or DeepAR+, the optimized values for the chosen hyperparameters are returned. For more information, see aws-forecast-choosing-recipes.

$sel:algorithmArn:DescribePredictorResponse', describePredictorResponse_algorithmArn - The Amazon Resource Name (ARN) of the algorithm used for model training.

$sel:hPOConfig:DescribePredictorResponse', describePredictorResponse_hPOConfig - The hyperparameter override values for the algorithm.

$sel:predictorArn:DescribePredictor', describePredictorResponse_predictorArn - The ARN of the predictor.

$sel:optimizationMetric:DescribePredictorResponse', describePredictorResponse_optimizationMetric - The accuracy metric used to optimize the predictor.

$sel:predictorExecutionDetails:DescribePredictorResponse', describePredictorResponse_predictorExecutionDetails - Details on the the status and results of the backtests performed to evaluate the accuracy of the predictor. You specify the number of backtests to perform when you call the operation.

$sel:datasetImportJobArns:DescribePredictorResponse', describePredictorResponse_datasetImportJobArns - An array of the ARNs of the dataset import jobs used to import training data for the predictor.

$sel:estimatedTimeRemainingInMinutes:DescribePredictorResponse', describePredictorResponse_estimatedTimeRemainingInMinutes - The estimated time remaining in minutes for the predictor training job to complete.

$sel:autoMLOverrideStrategy:DescribePredictorResponse', describePredictorResponse_autoMLOverrideStrategy - The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

$sel:evaluationParameters:DescribePredictorResponse', describePredictorResponse_evaluationParameters - Used to override the default evaluation parameters of the specified algorithm. Amazon Forecast evaluates a predictor by splitting a dataset into training data and testing data. The evaluation parameters define how to perform the split and the number of iterations.

$sel:inputDataConfig:DescribePredictorResponse', describePredictorResponse_inputDataConfig - Describes the dataset group that contains the data to use to train the predictor.

$sel:predictorName:DescribePredictorResponse', describePredictorResponse_predictorName - The name of the predictor.

$sel:featurizationConfig:DescribePredictorResponse', describePredictorResponse_featurizationConfig - The featurization configuration.

$sel:encryptionConfig:DescribePredictorResponse', describePredictorResponse_encryptionConfig - An AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

$sel:forecastTypes:DescribePredictorResponse', describePredictorResponse_forecastTypes - The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"]

$sel:message:DescribePredictorResponse', describePredictorResponse_message - If an error occurred, an informational message about the error.

$sel:performHPO:DescribePredictorResponse', describePredictorResponse_performHPO - Whether the predictor is set to perform hyperparameter optimization (HPO).

$sel:lastModificationTime:DescribePredictorResponse', describePredictorResponse_lastModificationTime - The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

$sel:httpStatus:DescribePredictorResponse', describePredictorResponse_httpStatus - The response's http status code.

Response Lenses

describePredictorResponse_creationTime :: Lens' DescribePredictorResponse (Maybe UTCTime) Source #

When the model training task was created.

describePredictorResponse_forecastHorizon :: Lens' DescribePredictorResponse (Maybe Int) Source #

The number of time-steps of the forecast. The forecast horizon is also called the prediction length.

describePredictorResponse_status :: Lens' DescribePredictorResponse (Maybe Text) Source #

The status of the predictor. States include:

```
ACTIVE
```
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED
CREATE_STOPPING, CREATE_STOPPED

The Status of the predictor must be ACTIVE before you can use the predictor to create a forecast.

describePredictorResponse_performAutoML :: Lens' DescribePredictorResponse (Maybe Bool) Source #

Whether the predictor is set to perform AutoML.

describePredictorResponse_autoMLAlgorithmArns :: Lens' DescribePredictorResponse (Maybe [Text]) Source #

When PerformAutoML is specified, the ARN of the chosen algorithm.

describePredictorResponse_trainingParameters :: Lens' DescribePredictorResponse (Maybe (HashMap Text Text)) Source #

The default training parameters or overrides selected during model training. When running AutoML or choosing HPO with CNN-QR or DeepAR+, the optimized values for the chosen hyperparameters are returned. For more information, see aws-forecast-choosing-recipes.

describePredictorResponse_algorithmArn :: Lens' DescribePredictorResponse (Maybe Text) Source #

The Amazon Resource Name (ARN) of the algorithm used for model training.

describePredictorResponse_hPOConfig :: Lens' DescribePredictorResponse (Maybe HyperParameterTuningJobConfig) Source #

The hyperparameter override values for the algorithm.

describePredictorResponse_predictorArn :: Lens' DescribePredictorResponse (Maybe Text) Source #

The ARN of the predictor.

describePredictorResponse_optimizationMetric :: Lens' DescribePredictorResponse (Maybe OptimizationMetric) Source #

The accuracy metric used to optimize the predictor.

describePredictorResponse_predictorExecutionDetails :: Lens' DescribePredictorResponse (Maybe PredictorExecutionDetails) Source #

Details on the the status and results of the backtests performed to evaluate the accuracy of the predictor. You specify the number of backtests to perform when you call the operation.

describePredictorResponse_datasetImportJobArns :: Lens' DescribePredictorResponse (Maybe [Text]) Source #

An array of the ARNs of the dataset import jobs used to import training data for the predictor.

describePredictorResponse_estimatedTimeRemainingInMinutes :: Lens' DescribePredictorResponse (Maybe Integer) Source #

The estimated time remaining in minutes for the predictor training job to complete.

describePredictorResponse_autoMLOverrideStrategy :: Lens' DescribePredictorResponse (Maybe AutoMLOverrideStrategy) Source #

The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

describePredictorResponse_evaluationParameters :: Lens' DescribePredictorResponse (Maybe EvaluationParameters) Source #

Used to override the default evaluation parameters of the specified algorithm. Amazon Forecast evaluates a predictor by splitting a dataset into training data and testing data. The evaluation parameters define how to perform the split and the number of iterations.

describePredictorResponse_inputDataConfig :: Lens' DescribePredictorResponse (Maybe InputDataConfig) Source #

Describes the dataset group that contains the data to use to train the predictor.

describePredictorResponse_predictorName :: Lens' DescribePredictorResponse (Maybe Text) Source #

The name of the predictor.

describePredictorResponse_featurizationConfig :: Lens' DescribePredictorResponse (Maybe FeaturizationConfig) Source #

The featurization configuration.

describePredictorResponse_encryptionConfig :: Lens' DescribePredictorResponse (Maybe EncryptionConfig) Source #

An AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

describePredictorResponse_forecastTypes :: Lens' DescribePredictorResponse (Maybe (NonEmpty Text)) Source #

The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"]

describePredictorResponse_message :: Lens' DescribePredictorResponse (Maybe Text) Source #

If an error occurred, an informational message about the error.

describePredictorResponse_performHPO :: Lens' DescribePredictorResponse (Maybe Bool) Source #

Whether the predictor is set to perform hyperparameter optimization (HPO).

describePredictorResponse_lastModificationTime :: Lens' DescribePredictorResponse (Maybe UTCTime) Source #

The last time the resource was modified. The timestamp depends on the status of the job:

CREATE_PENDING - The CreationTime.
CREATE_IN_PROGRESS - The current timestamp.
CREATE_STOPPING - The current timestamp.
CREATE_STOPPED - When the job stopped.
ACTIVE or CREATE_FAILED - When the job finished or failed.

describePredictorResponse_httpStatus :: Lens' DescribePredictorResponse Int Source #

The response's http status code.