SAS Visual Forecasting provides end-to-end capabilities to automate your forecasting process using time series, machine learning and deep learning techniques. In this session, we’ll showcase our latest enhancements to the Interactive Modeling node functionality. As part of the automation, the parent model with the best statistical measure for each time series will be chosen as the champion. The interactive modeling node allows you to analyze and view series, perform model diagnostics, create custom models, compare models, and manually set model champions on a series-by-series basis to improve the quality of the forecasts.
Presenting Company: SAS
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