software.amazon.awssdk.services.forecast.model

Interface DescribePredictorResponse.Builder

All Superinterfaces:

AwsResponse.Builder, Buildable, CopyableBuilder<DescribePredictorResponse.Builder,DescribePredictorResponse>, ForecastResponse.Builder, SdkBuilder<DescribePredictorResponse.Builder,DescribePredictorResponse>, SdkPojo, SdkResponse.Builder

Enclosing class:

DescribePredictorResponse

public static interface DescribePredictorResponse.Builder
extends ForecastResponse.Builder, SdkPojo, CopyableBuilder<DescribePredictorResponse.Builder,DescribePredictorResponse>

Method Summary

Modifier and Type	Method and Description
DescribePredictorResponse.Builder	algorithmArn(String algorithmArn) The Amazon Resource Name (ARN) of the algorithm used for model training.
DescribePredictorResponse.Builder	autoMLAlgorithmArns(Collection<String> autoMLAlgorithmArns) When PerformAutoML is specified, the ARN of the chosen algorithm.
DescribePredictorResponse.Builder	autoMLAlgorithmArns(String... autoMLAlgorithmArns) When PerformAutoML is specified, the ARN of the chosen algorithm.
DescribePredictorResponse.Builder	creationTime(Instant creationTime) When the model training task was created.
DescribePredictorResponse.Builder	datasetImportJobArns(Collection<String> datasetImportJobArns) An array of the ARNs of the dataset import jobs used to import training data for the predictor.
DescribePredictorResponse.Builder	datasetImportJobArns(String... datasetImportJobArns) An array of the ARNs of the dataset import jobs used to import training data for the predictor.
default DescribePredictorResponse.Builder	encryptionConfig(Consumer<EncryptionConfig.Builder> 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.
DescribePredictorResponse.Builder	encryptionConfig(EncryptionConfig 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.
default DescribePredictorResponse.Builder	evaluationParameters(Consumer<EvaluationParameters.Builder> evaluationParameters) Used to override the default evaluation parameters of the specified algorithm.
DescribePredictorResponse.Builder	evaluationParameters(EvaluationParameters evaluationParameters) Used to override the default evaluation parameters of the specified algorithm.
default DescribePredictorResponse.Builder	featurizationConfig(Consumer<FeaturizationConfig.Builder> featurizationConfig) The featurization configuration.
DescribePredictorResponse.Builder	featurizationConfig(FeaturizationConfig featurizationConfig) The featurization configuration.
DescribePredictorResponse.Builder	forecastHorizon(Integer forecastHorizon) The number of time-steps of the forecast.
DescribePredictorResponse.Builder	forecastTypes(Collection<String> forecastTypes) The forecast types used during predictor training.
DescribePredictorResponse.Builder	forecastTypes(String... forecastTypes) The forecast types used during predictor training.
default DescribePredictorResponse.Builder	hpoConfig(Consumer<HyperParameterTuningJobConfig.Builder> hpoConfig) The hyperparameter override values for the algorithm.
DescribePredictorResponse.Builder	hpoConfig(HyperParameterTuningJobConfig hpoConfig) The hyperparameter override values for the algorithm.
default DescribePredictorResponse.Builder	inputDataConfig(Consumer<InputDataConfig.Builder> inputDataConfig) Describes the dataset group that contains the data to use to train the predictor.
DescribePredictorResponse.Builder	inputDataConfig(InputDataConfig inputDataConfig) Describes the dataset group that contains the data to use to train the predictor.
DescribePredictorResponse.Builder	lastModificationTime(Instant lastModificationTime) Initially, the same as CreationTime (when the status is CREATE_PENDING).
DescribePredictorResponse.Builder	message(String message) If an error occurred, an informational message about the error.
DescribePredictorResponse.Builder	performAutoML(Boolean performAutoML) Whether the predictor is set to perform AutoML.
DescribePredictorResponse.Builder	performHPO(Boolean performHPO) Whether the predictor is set to perform hyperparameter optimization (HPO).
DescribePredictorResponse.Builder	predictorArn(String predictorArn) The ARN of the predictor.
default DescribePredictorResponse.Builder	predictorExecutionDetails(Consumer<PredictorExecutionDetails.Builder> predictorExecutionDetails) Details on the the status and results of the backtests performed to evaluate the accuracy of the predictor.
DescribePredictorResponse.Builder	predictorExecutionDetails(PredictorExecutionDetails predictorExecutionDetails) Details on the the status and results of the backtests performed to evaluate the accuracy of the predictor.
DescribePredictorResponse.Builder	predictorName(String predictorName) The name of the predictor.
DescribePredictorResponse.Builder	status(String status) The status of the predictor.
DescribePredictorResponse.Builder	trainingParameters(Map<String,String> trainingParameters) The default training parameters or overrides selected during model training.

Methods inherited from interface software.amazon.awssdk.services.forecast.model.ForecastResponse.Builder

build, responseMetadata, responseMetadata

Methods inherited from interface software.amazon.awssdk.core.SdkResponse.Builder

sdkHttpResponse, sdkHttpResponse

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFields

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Method Detail

predictorArn

DescribePredictorResponse.Builder predictorArn(String predictorArn)

The ARN of the predictor.

Parameters:

predictorArn - The ARN of the predictor.

Returns:

Returns a reference to this object so that method calls can be chained together.

predictorName

DescribePredictorResponse.Builder predictorName(String predictorName)

The name of the predictor.

Parameters:

predictorName - The name of the predictor.

Returns:

Returns a reference to this object so that method calls can be chained together.

algorithmArn

DescribePredictorResponse.Builder algorithmArn(String algorithmArn)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

forecastHorizon

DescribePredictorResponse.Builder forecastHorizon(Integer forecastHorizon)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

forecastTypes

DescribePredictorResponse.Builder forecastTypes(Collection<String> forecastTypes)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

forecastTypes

DescribePredictorResponse.Builder forecastTypes(String... forecastTypes)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

performAutoML

DescribePredictorResponse.Builder performAutoML(Boolean performAutoML)

Whether the predictor is set to perform AutoML.

Parameters:

performAutoML - Whether the predictor is set to perform AutoML.

Returns:

Returns a reference to this object so that method calls can be chained together.

performHPO

DescribePredictorResponse.Builder performHPO(Boolean performHPO)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

trainingParameters

DescribePredictorResponse.Builder trainingParameters(Map<String,String> 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

evaluationParameters

DescribePredictorResponse.Builder evaluationParameters(EvaluationParameters 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

evaluationParameters

default DescribePredictorResponse.Builder evaluationParameters(Consumer<EvaluationParameters.Builder> 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.

This is a convenience that creates an instance of the EvaluationParameters.Builder avoiding the need to create one manually via EvaluationParameters.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to evaluationParameters(EvaluationParameters).

Parameters:

evaluationParameters - a consumer that will call methods on EvaluationParameters.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

evaluationParameters(EvaluationParameters)

hpoConfig

DescribePredictorResponse.Builder hpoConfig(HyperParameterTuningJobConfig hpoConfig)

The hyperparameter override values for the algorithm.

Parameters:

hpoConfig - The hyperparameter override values for the algorithm.

Returns:

Returns a reference to this object so that method calls can be chained together.

hpoConfig

default DescribePredictorResponse.Builder hpoConfig(Consumer<HyperParameterTuningJobConfig.Builder> hpoConfig)

The hyperparameter override values for the algorithm.

This is a convenience that creates an instance of the HyperParameterTuningJobConfig.Builder avoiding the need to create one manually via HyperParameterTuningJobConfig.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to hpoConfig(HyperParameterTuningJobConfig).

Parameters:

hpoConfig - a consumer that will call methods on HyperParameterTuningJobConfig.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

hpoConfig(HyperParameterTuningJobConfig)

inputDataConfig

DescribePredictorResponse.Builder inputDataConfig(InputDataConfig inputDataConfig)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

inputDataConfig

default DescribePredictorResponse.Builder inputDataConfig(Consumer<InputDataConfig.Builder> inputDataConfig)

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

This is a convenience that creates an instance of the InputDataConfig.Builder avoiding the need to create one manually via InputDataConfig.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to inputDataConfig(InputDataConfig).

Parameters:

inputDataConfig - a consumer that will call methods on InputDataConfig.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

inputDataConfig(InputDataConfig)

featurizationConfig

DescribePredictorResponse.Builder featurizationConfig(FeaturizationConfig featurizationConfig)

The featurization configuration.

Parameters:

featurizationConfig - The featurization configuration.

Returns:

Returns a reference to this object so that method calls can be chained together.

featurizationConfig

default DescribePredictorResponse.Builder featurizationConfig(Consumer<FeaturizationConfig.Builder> featurizationConfig)

The featurization configuration.

This is a convenience that creates an instance of the FeaturizationConfig.Builder avoiding the need to create one manually via FeaturizationConfig.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to featurizationConfig(FeaturizationConfig).

Parameters:

featurizationConfig - a consumer that will call methods on FeaturizationConfig.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

featurizationConfig(FeaturizationConfig)

encryptionConfig

DescribePredictorResponse.Builder encryptionConfig(EncryptionConfig 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

encryptionConfig

default DescribePredictorResponse.Builder encryptionConfig(Consumer<EncryptionConfig.Builder> 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.

This is a convenience that creates an instance of the EncryptionConfig.Builder avoiding the need to create one manually via EncryptionConfig.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to encryptionConfig(EncryptionConfig).

Parameters:

encryptionConfig - a consumer that will call methods on EncryptionConfig.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

encryptionConfig(EncryptionConfig)

predictorExecutionDetails

DescribePredictorResponse.Builder predictorExecutionDetails(PredictorExecutionDetails 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

predictorExecutionDetails

default DescribePredictorResponse.Builder predictorExecutionDetails(Consumer<PredictorExecutionDetails.Builder> 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.

This is a convenience that creates an instance of the PredictorExecutionDetails.Builder avoiding the need to create one manually via PredictorExecutionDetails.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to predictorExecutionDetails(PredictorExecutionDetails).

Parameters:

predictorExecutionDetails - a consumer that will call methods on PredictorExecutionDetails.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

predictorExecutionDetails(PredictorExecutionDetails)

datasetImportJobArns

DescribePredictorResponse.Builder datasetImportJobArns(Collection<String> datasetImportJobArns)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

datasetImportJobArns

DescribePredictorResponse.Builder datasetImportJobArns(String... datasetImportJobArns)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

autoMLAlgorithmArns

DescribePredictorResponse.Builder autoMLAlgorithmArns(Collection<String> autoMLAlgorithmArns)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

autoMLAlgorithmArns

DescribePredictorResponse.Builder autoMLAlgorithmArns(String... autoMLAlgorithmArns)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

status

DescribePredictorResponse.Builder status(String status)

The status of the predictor. States include:

• ACTIVE

• CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

• DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

• UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED

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

Parameters:

status - The status of the predictor. States include:

• ACTIVE

• CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

• DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

• UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED

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

Returns:

Returns a reference to this object so that method calls can be chained together.

message

DescribePredictorResponse.Builder message(String message)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

creationTime

DescribePredictorResponse.Builder creationTime(Instant creationTime)

When the model training task was created.

Parameters:

creationTime - When the model training task was created.

Returns:

Returns a reference to this object so that method calls can be chained together.

lastModificationTime

DescribePredictorResponse.Builder lastModificationTime(Instant lastModificationTime)

Initially, the same as CreationTime (when the status is CREATE_PENDING). This value is updated when training starts (when the status changes to CREATE_IN_PROGRESS), and when training has completed (when the status changes to ACTIVE) or fails (when the status changes to CREATE_FAILED).

Parameters:

lastModificationTime - Initially, the same as CreationTime (when the status is CREATE_PENDING). This value is updated when training starts (when the status changes to CREATE_IN_PROGRESS ), and when training has completed (when the status changes to ACTIVE) or fails (when the status changes to CREATE_FAILED).

Returns:

Returns a reference to this object so that method calls can be chained together.