Introduction
Perpetual ML accelerates model training by more than 100x through the elimination of the time-consuming hyperparameter optimization step. It empowers businesses with Perpetual ML Suite which is a 100x faster, scalable, explainable, end-to-end, all-in-one, low-code / no-code native app for modern data warehouses. It offers features like PerpetualBooster for faster initial training, continual learning, better confidence intervals with Conformal Prediction, geographic data learning, model monitoring, and suitability for various ML tasks. It is currently being developed for Snowflake and will be available for Databricks and other data warehouses later. It eliminates the need for specialized hardware like GPU or TPU.