Perpetual ML

What is Perpetual ML?

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.

How to use Perpetual ML?

Contact Perpetual ML for a free trial to see it in action. The suite is designed as a low-code/no-code native app for modern data warehouses, allowing users to unlock insights and actions from their data quickly.

Perpetual ML’s Core Features

100x faster initial training with PerpetualBooster Continual learning without starting from scratch Better confidence intervals with Conformal Prediction Geographic data learning Model monitoring Suitable for tabular classification, regression, time series, learning to rank, and text classification Portable across different data warehouses Effortless parallelism No specialized hardware required

Perpetual ML’s Use Cases

• Accelerating model training in data warehouses
• Improving the speed and efficiency of machine learning workflows
• Monitoring models and detecting distribution shift
• Building and deploying machine learning models without specialized hardware