Fabric Forecasting

Time-series forecasting pipelines on Fabric - from raw data to trained models with profiling, clustering, and feature engineering.

When to Use

• Building demand forecasting models (retail, supply chain, finance)
• Forecasting across many series (products, stores, regions)
• Classifying time-series patterns (regular, intermittent, lumpy, erratic)
• Creating feature-engineered datasets for ML models
• Training and tuning LightGBM, Prophet, or ensemble models on Fabric

Decision Tree