Closed Pablo-source closed 5 months ago
AIM: Using Dynamic branching, implement an ARIMA model to iterate over the set of indicators defined in the branching Target by metric “indicator”. At the moment only using two indicators, so this workflow will have 2 branches before I implement ARIMA model.
For this first issue about Dynamic branching I will be creating an ARIMA model based on the 2 indicators present in the grouped target.
closing issue has this has been completed and all changes from this branch included in the main branch after doing a pull request from "dynamic_branching_ARIMA" branch used to develop this feature following trunk development principles.
Adding ARIMA and Prophet models to existing pipeline using Modeltime package. It is part of a growing ecosystem of Modeltime forecasting packages. https://business-science.github.io/modeltime/
First I will combine the following four files for three new TS economic indicators below in a new pipeline to run separate TS models on each of them.
A34SVS_Shipments_value_Computer_products.csv AMDMVS_Shipments_value_Durable_goods.csv AMTMVS_Shipments_Total_Manufacturing.csv ANXAVS_Shipments_value_Nondefense_Capital_Goods.csv
This time I will be using Dynamic branching from {targets} alongside {timetk} and {modeltime} packages to automate the creation of different models on different branches of the pipeline