Creates a forecast for each item in the TARGET_TIME_SERIES
dataset that was used to train the predictor. This is known as inference. To retrieve the forecast for a single item at low latency, use the operation. To export the complete forecast into your Amazon Simple Storage Service (Amazon S3) bucket, use the create_forecast_export_job
operation.
See https://www.paws-r-sdk.com/docs/forecastservice_create_forecast/ for full documentation.
forecastservice_create_forecast(
ForecastName,
PredictorArn,
ForecastTypes = NULL,
Tags = NULL,
TimeSeriesSelector = NULL
)
[required] A name for the forecast.
[required] The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
The quantiles at which probabilistic forecasts are generated. You can
currently specify up to 5 quantiles per forecast. Accepted values
include 0.01 to 0.99
(increments of .01 only) and mean
. The mean
forecast is different from the median (0.50) when the distribution is
not symmetric (for example, Beta and Negative Binomial).
The default quantiles are the quantiles you specified during predictor
creation. If you didn't specify quantiles, the default values are
["0.1", "0.5", "0.9"]
.
The optional metadata that you apply to the forecast to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:
, AWS:
, or any upper or lowercase combination of
such as a prefix for keys as it is reserved for Amazon Web Services
use. You cannot edit or delete tag keys with this prefix. Values can
have this prefix. If a tag value has aws
as its prefix but the key
does not, then Forecast considers it to be a user tag and will count
against the limit of 50 tags. Tags with only the key prefix of aws
do not count against your tags per resource limit.
Defines the set of time series that are used to create the forecasts in
a TimeSeriesIdentifiers
object.
The TimeSeriesIdentifiers
object needs the following information:
DataSource
Format
Schema