2019/08/21 - Amazon Forecast Query Service - 1 new api methods
Changes Amazon Forecast is a fully managed machine learning service that makes it easy for customers to generate accurate forecasts using their historical time-series data
Retrieves a forecast filtered by the supplied criteria.
The criteria is a key-value pair. The key is either item_id (or the equivalent non-timestamp, non-target field) from the TARGET_TIME_SERIES dataset, or one of the forecast dimensions specified as part of the FeaturizationConfig object.
By default, the complete date range of the filtered forecast is returned. Optionally, you can request a specific date range within the forecast.
Note
The forecasts generated by Amazon Forecast are in the same timezone as the dataset that was used to create the predictor.
See also: AWS API Documentation
Request Syntax
client.query_forecast( ForecastArn='string', StartDate='string', EndDate='string', Filters={ 'string': 'string' }, NextToken='string' )
string
[REQUIRED]
The Amazon Resource Name (ARN) of the forecast to query.
string
The start date for the forecast. Specify the date using this format: yyyy-MM-dd'T'HH:mm:ss'Z' (ISO 8601 format) For example, "1970-01-01T00:00:00Z."
string
The end date for the forecast. Specify the date using this format: yyyy-MM-dd'T'HH:mm:ss'Z' (ISO 8601 format). For example, "1970-01-01T00:00:00Z."
dict
[REQUIRED]
The filtering criteria to apply when retrieving the forecast. For example:
To get a forecast for a specific item specify the following: {"item_id" : "client_1"}
To get a forecast for a specific item sold in a specific location, specify the following: {"item_id" : "client_1", "location" : "ny"}
To get a forecast for all blue items sold in a specific location, specify the following: { "location" : "ny", "color":"blue"}
To get the full forecast, use the operation.
(string) --
(string) --
string
If the result of the previous request was truncated, the response includes a NextToken . To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.
dict
Response Syntax
{ 'Forecast': { 'Predictions': { 'string': [ { 'Timestamp': 'string', 'Value': 123.0 }, ] } } }
Response Structure
(dict) --
Forecast (dict) --
The forecast.
Predictions (dict) --
The forecast.
The string of the string to array map is one of the following values:
mean
p10
p50
p90
(string) --
(list) --
(dict) --
The forecast value for a specific date. Part of the Forecast object.
Timestamp (string) --
The timestamp of the specific forecast.
Value (float) --
The forecast value.