| 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<CreateAutoPredictorResult> |
AmazonForecastAsyncClient.createAutoPredictorAsync(CreateAutoPredictorRequest request,
AsyncHandler<CreateAutoPredictorRequest,CreateAutoPredictorResult> asyncHandler) |
Future<CreateAutoPredictorResult> |
AbstractAmazonForecastAsync.createAutoPredictorAsync(CreateAutoPredictorRequest request,
AsyncHandler<CreateAutoPredictorRequest,CreateAutoPredictorResult> asyncHandler) |
Future<CreateAutoPredictorResult> |
AmazonForecastAsync.createAutoPredictorAsync(CreateAutoPredictorRequest createAutoPredictorRequest,
AsyncHandler<CreateAutoPredictorRequest,CreateAutoPredictorResult> asyncHandler)
Creates an Amazon Forecast predictor.
|
| Modifier and Type | Method and Description |
|---|---|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.clone() |
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withDataConfig(DataConfig dataConfig)
The data configuration for your dataset group and any additional datasets.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withEncryptionConfig(EncryptionConfig encryptionConfig) |
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withExplainPredictor(Boolean explainPredictor)
Create an Explainability resource for the predictor.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withForecastDimensions(Collection<String> forecastDimensions)
An array of dimension (field) names that specify how to group the generated forecast.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withForecastDimensions(String... forecastDimensions)
An array of dimension (field) names that specify how to group the generated forecast.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withForecastFrequency(String forecastFrequency)
The frequency of predictions in a forecast.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withForecastHorizon(Integer forecastHorizon)
The number of time-steps that the model predicts.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withForecastTypes(Collection<String> forecastTypes)
The forecast types used to train a predictor.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withForecastTypes(String... forecastTypes)
The forecast types used to train a predictor.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withMonitorConfig(MonitorConfig monitorConfig)
The configuration details for predictor monitoring.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withOptimizationMetric(OptimizationMetric optimizationMetric)
The accuracy metric used to optimize the predictor.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withOptimizationMetric(String optimizationMetric)
The accuracy metric used to optimize the predictor.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withPredictorName(String predictorName)
A unique name for the predictor
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withReferencePredictorArn(String referencePredictorArn)
The ARN of the predictor to retrain or upgrade.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withTags(Collection<Tag> tags)
Optional metadata to help you categorize and organize your predictors.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withTags(Tag... tags)
Optional metadata to help you categorize and organize your predictors.
|
CreateAutoPredictorRequest |
CreateAutoPredictorRequest.withTimeAlignmentBoundary(TimeAlignmentBoundary timeAlignmentBoundary)
The time boundary Forecast uses to align and aggregate any data that doesn't align with your forecast frequency.
|
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