forecastservice_create_what_if_analysis: What-if analysis is a scenario modeling technique where you...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

What-if analysis is a scenario modeling technique where you make a hypothetical change to a time series and compare the forecasts generated by these changes against the baseline, unchanged time series

Description

What-if analysis is a scenario modeling technique where you make a hypothetical change to a time series and compare the forecasts generated by these changes against the baseline, unchanged time series. It is important to remember that the purpose of a what-if analysis is to understand how a forecast can change given different modifications to the baseline time series.

See https://www.paws-r-sdk.com/docs/forecastservice_create_what_if_analysis/ for full documentation.

Usage

forecastservice_create_what_if_analysis(
  WhatIfAnalysisName,
  ForecastArn,
  TimeSeriesSelector = NULL,
  Tags = NULL
)

Arguments

WhatIfAnalysisName	[required] The name of the what-if analysis. Each name must be unique.
ForecastArn	[required] The Amazon Resource Name (ARN) of the baseline forecast.
TimeSeriesSelector	Defines the set of time series that are used in the what-if analysis with a TimeSeriesIdentifiers object. What-if analyses are performed only for the time series in this object. The TimeSeriesIdentifiers object needs the following information: DataSource Format Schema
Tags	A list of tags to apply to the what if forecast.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.