Intuit Inc.
DIAGNOSTICS FRAMEWORK FOR LARGE SCALE HIERARCHICAL TIME-SERIES FORECASTING MODELS

Abstract:

Certain aspects of the present disclosure provide techniques for providing a diagnostics framework for large scale hierarchical time series forecasting models. In one embodiment, a method includes providing a plurality of hierarchical time-series, each of the plurality of hierarchical time-series comprising node data; concurrently providing node data from the plurality of hierarchical time-series to a forecasting model; using the forecasting model, concurrently calculating a plurality of forecasting data corresponding to each one of the node data of the plurality of hierarchical time-series; concurrently calculating a plurality of performance metrics of the forecasting model using the plurality of forecasting data; and generate an updated forecasting model by modifying the forecasting model based upon the plurality of performance metrics; concurrently calculating a plurality of updated forecasting data corresponding to each one of the node data using the updated forecasting model; and provide the updated forecasting data to a user.