📄️ Feature Library Stock Generator
It should be clear to everyone that including feature data in the model building process is critical. Not only do we typically see accuracy improvements, but it also serves to the Insights pillar of SensibleAI Forecast’s value.
📄️ FRED
The St. Louis Federal Reserve's database, FRED, is an invaluable tool for accessing US economic data.
📄️ Identifying Comparable Stocks for SensibleAI Features
The purpose of this article is to provide SensibleAI Forecast implementers and architects with a framework to answer the question: 'How do I decide what stocks make sense to experiment with as SensibleAI Forecast features?'
📄️ Feature Set Configuration and Interpretability Guide
Understanding how to effectively leverage custom features can significantly improve predictive performance by ensuring the model is informed by the most relevant and granular information available.
📄️ How to Resolve Common Feature Upload Errors
When uploading features and events, it's essential to navigate potential errors effectively to keep your projects on track. This article covers some of the most common errors you may encounter, along with practical solutions to resolve them.
📄️ Production Shifts and Cancelled Orders: Demand Forecasting
There may be instances when working on a demand planning use case in SensibleAI Forecast where the demand dataset will include cancelled orders or production shifts.