Installing the many models solution accelerator
The MMSA was built by Microsoft in 2019 to address the needs of a growing number of customers who wanted to train hundreds of thousands of similar ML models simultaneously. This is particularly important for product demand forecasting, where you are trying to make forecasts for many different products at many different locations.
The impetus for the accelerator is model accuracy. While you could train a single model to predict product demand across all of your product lines and all of your stores, you will find that training individual models for each combination of product and store tends to yield superior performance. This is because a multitude of factors are dependent on both your algorithm and your data. It can be very difficult for some algorithms to find meaningful patterns when you're dealing with hundreds of thousands of different products distributed across the globe.
Additionally, the same columns can have different...
