| Package | Description |
|---|---|
| com.amazonaws.services.forecast |
Provides APIs for creating and managing Amazon Forecast resources.
|
| com.amazonaws.services.forecast.model |
| Modifier and Type | Method and Description |
|---|---|
Future<CreatePredictorResult> |
AmazonForecastAsync.createPredictorAsync(CreatePredictorRequest createPredictorRequest,
AsyncHandler<CreatePredictorRequest,CreatePredictorResult> asyncHandler)
Creates an Amazon Forecast predictor.
|
Future<CreatePredictorResult> |
AmazonForecastAsyncClient.createPredictorAsync(CreatePredictorRequest request,
AsyncHandler<CreatePredictorRequest,CreatePredictorResult> asyncHandler) |
Future<CreatePredictorResult> |
AbstractAmazonForecastAsync.createPredictorAsync(CreatePredictorRequest request,
AsyncHandler<CreatePredictorRequest,CreatePredictorResult> asyncHandler) |
| Modifier and Type | Method and Description |
|---|---|
CreatePredictorRequest |
CreatePredictorRequest.addTrainingParametersEntry(String key,
String value) |
CreatePredictorRequest |
CreatePredictorRequest.clearTrainingParametersEntries()
Removes all the entries added into TrainingParameters.
|
CreatePredictorRequest |
CreatePredictorRequest.clone() |
CreatePredictorRequest |
CreatePredictorRequest.withAlgorithmArn(String algorithmArn)
The Amazon Resource Name (ARN) of the algorithm to use for model training.
|
CreatePredictorRequest |
CreatePredictorRequest.withEncryptionConfig(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.
|
CreatePredictorRequest |
CreatePredictorRequest.withEvaluationParameters(EvaluationParameters evaluationParameters)
Used to override the default evaluation parameters of the specified algorithm.
|
CreatePredictorRequest |
CreatePredictorRequest.withFeaturizationConfig(FeaturizationConfig featurizationConfig)
The featurization configuration.
|
CreatePredictorRequest |
CreatePredictorRequest.withForecastHorizon(Integer forecastHorizon)
Specifies the number of time-steps that the model is trained to predict.
|
CreatePredictorRequest |
CreatePredictorRequest.withHPOConfig(HyperParameterTuningJobConfig hPOConfig)
Provides hyperparameter override values for the algorithm.
|
CreatePredictorRequest |
CreatePredictorRequest.withInputDataConfig(InputDataConfig inputDataConfig)
Describes the dataset group that contains the data to use to train the predictor.
|
CreatePredictorRequest |
CreatePredictorRequest.withPerformAutoML(Boolean performAutoML)
Whether to perform AutoML.
|
CreatePredictorRequest |
CreatePredictorRequest.withPerformHPO(Boolean performHPO)
Whether to perform hyperparameter optimization (HPO).
|
CreatePredictorRequest |
CreatePredictorRequest.withPredictorName(String predictorName)
A name for the predictor.
|
CreatePredictorRequest |
CreatePredictorRequest.withTrainingParameters(Map<String,String> trainingParameters)
The hyperparameters to override for model training.
|
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