forecast-2018-06-26 library Null safety

Classes

AwsClientCredentials
AWS credentials.
CategoricalParameterRange
Specifies a categorical hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.
ContinuousParameterRange
Specifies a continuous hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.
CreateDatasetGroupResponse
CreateDatasetImportJobResponse
CreateDatasetResponse
CreateForecastExportJobResponse
CreateForecastResponse
CreatePredictorBacktestExportJobResponse
CreatePredictorResponse
DataDestination
The destination for an export job. Provide an S3 path, an AWS Identity and Access Management (IAM) role that allows Amazon Forecast to access the location, and an AWS Key Management Service (KMS) key (optional).
DatasetGroupSummary
Provides a summary of the dataset group properties used in the ListDatasetGroups operation. To get the complete set of properties, call the DescribeDatasetGroup operation, and provide the DatasetGroupArn.
DatasetImportJobSummary
Provides a summary of the dataset import job properties used in the ListDatasetImportJobs operation. To get the complete set of properties, call the DescribeDatasetImportJob operation, and provide the DatasetImportJobArn.
DatasetSummary
Provides a summary of the dataset properties used in the ListDatasets operation. To get the complete set of properties, call the DescribeDataset operation, and provide the DatasetArn.
DataSource
The source of your training data, an AWS Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an AWS Key Management Service (KMS) key. This object is submitted in the CreateDatasetImportJob request.
DescribeDatasetGroupResponse
DescribeDatasetImportJobResponse
DescribeDatasetResponse
DescribeForecastExportJobResponse
DescribeForecastResponse
DescribePredictorBacktestExportJobResponse
DescribePredictorResponse
EncryptionConfig
An AWS Key Management Service (KMS) key and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key. You can specify this optional object in the CreateDataset and CreatePredictor requests.
ErrorMetric
Provides detailed error metrics to evaluate the performance of a predictor. This object is part of the Metrics object.
EvaluationParameters
Parameters that define how to split a dataset into training data and testing data, and the number of iterations to perform. These parameters are specified in the predefined algorithms but you can override them in the CreatePredictor request.
EvaluationResult
The results of evaluating an algorithm. Returned as part of the GetAccuracyMetrics response.
Featurization
Provides featurization (transformation) information for a dataset field. This object is part of the FeaturizationConfig object.
FeaturizationConfig
In a CreatePredictor operation, the specified algorithm trains a model using the specified dataset group. You can optionally tell the operation to modify data fields prior to training a model. These modifications are referred to as featurization.
FeaturizationMethod
Provides information about the method that featurizes (transforms) a dataset field. The method is part of the FeaturizationPipeline of the Featurization object.
Filter
Describes a filter for choosing a subset of objects. Each filter consists of a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the objects that match the statement, respectively. The match statement consists of a key and a value.
ForecastExportJobSummary
Provides a summary of the forecast export job properties used in the ListForecastExportJobs operation. To get the complete set of properties, call the DescribeForecastExportJob operation, and provide the listed ForecastExportJobArn.
ForecastService
Provides APIs for creating and managing Amazon Forecast resources.
ForecastSummary
Provides a summary of the forecast properties used in the ListForecasts operation. To get the complete set of properties, call the DescribeForecast operation, and provide the ForecastArn that is listed in the summary.
GetAccuracyMetricsResponse
HyperParameterTuningJobConfig
Configuration information for a hyperparameter tuning job. You specify this object in the CreatePredictor request.
InputDataConfig
The data used to train a predictor. The data includes a dataset group and any supplementary features. You specify this object in the CreatePredictor request.
IntegerParameterRange
Specifies an integer hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.
ListDatasetGroupsResponse
ListDatasetImportJobsResponse
ListDatasetsResponse
ListForecastExportJobsResponse
ListForecastsResponse
ListPredictorBacktestExportJobsResponse
ListPredictorsResponse
ListTagsForResourceResponse
Metrics
Provides metrics that are used to evaluate the performance of a predictor. This object is part of the WindowSummary object.
ParameterRanges
Specifies the categorical, continuous, and integer hyperparameters, and their ranges of tunable values. The range of tunable values determines which values that a hyperparameter tuning job can choose for the specified hyperparameter. This object is part of the HyperParameterTuningJobConfig object.
PredictorBacktestExportJobSummary
Provides a summary of the predictor backtest export job properties used in the ListPredictorBacktestExportJobs operation. To get a complete set of properties, call the DescribePredictorBacktestExportJob operation, and provide the listed PredictorBacktestExportJobArn.
PredictorExecution
The algorithm used to perform a backtest and the status of those tests.
PredictorExecutionDetails
Contains details on the backtests performed to evaluate the accuracy of the predictor. The tests are returned in descending order of accuracy, with the most accurate backtest appearing first. You specify the number of backtests to perform when you call the operation.
PredictorSummary
Provides a summary of the predictor properties that are used in the ListPredictors operation. To get the complete set of properties, call the DescribePredictor operation, and provide the listed PredictorArn.
S3Config
The path to the file(s) in an Amazon Simple Storage Service (Amazon S3) bucket, and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the file(s). Optionally, includes an AWS Key Management Service (KMS) key. This object is part of the DataSource object that is submitted in the CreateDatasetImportJob request, and part of the DataDestination object.
Schema
Defines the fields of a dataset. You specify this object in the CreateDataset request.
SchemaAttribute
An attribute of a schema, which defines a dataset field. A schema attribute is required for every field in a dataset. The Schema object contains an array of SchemaAttribute objects.
Statistics
Provides statistics for each data field imported into to an Amazon Forecast dataset with the CreateDatasetImportJob operation.
SupplementaryFeature
Describes a supplementary feature of a dataset group. This object is part of the InputDataConfig object. Forecast supports the Weather Index and Holidays built-in featurizations.
Tag
The optional metadata that you apply to a resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
TagResourceResponse
TestWindowSummary
The status, start time, and end time of a backtest, as well as a failure reason if applicable.
UntagResourceResponse
UpdateDatasetGroupResponse
WeightedQuantileLoss
The weighted loss value for a quantile. This object is part of the Metrics object.
WindowSummary
The metrics for a time range within the evaluation portion of a dataset. This object is part of the EvaluationResult object.

Enums

AttributeType
DatasetType
Domain
EvaluationType
FeaturizationMethodName
FilterConditionString
ScalingType

Exceptions / Errors

InvalidInputException
InvalidNextTokenException
LimitExceededException
ResourceAlreadyExistsException
ResourceInUseException
ResourceNotFoundException