Rules & Heuristics for Machine Learning

Tecton is a feature platform for production machine learning that can be used to orchestrate the complete lifecycle of features, from transformation to online serving, and also serves as a rules engine for implementing policies and heuristics. Rules engines implement business logic via conditionals, while heuristics provide informed decision-making based on historical data and data analysis. Tecton offers a single platform to manage rules and features as code, making it easy to create policies, heuristics, and features that can be used to improve the performance of machine learning models. By combining rules and heuristics with machine learning, organizations can create more complex logic and act as a baseline for ML model performance. Tecton's tagging system helps differentiate between rules, features, and heuristics, making it easier to manage and version control them in production.