Perpetual ML

Perpetual ML increases the speed of model training by over 100 times by eliminating time-consuming steps involved in hyperparameter optimization. It offers enterprises the Perpetual ML Suite, an end-to-end, scalable, and interpretable solution that is 100 times faster and perfectly suited for modern data warehouses. This suite includes various functionalities such as PerpetualBooster, which enables faster initial training and continuous learning; it also helps in providing more accurate confidence intervals through predictive analyses, facilitates the processing of geographic data, and allows for effective model monitoring—making it ideal for a wide range of machine learning tasks. Currently, development efforts are focused on integrating this technology with Snowflake, and support for Databricks and other data warehouses will be added in the future. Additionally, using this tool does not require any specialized hardware such as GPUs or TPUs.

Please contact Perpetual ML to obtain a free trial and experience its capabilities firsthand. This suite is designed as a low-code/no-code local application that enables you to quickly extract insights and take action based on your data.

Utilizing PerpetualBooster enables initial training to be completed 100 times more quickly.
Continuous learning that doesn’t require starting from scratch.
By providing better confidence intervals that align with predictions.
Geographic data learning
Model monitoring
Applicable to table classification, regression analysis, time series analysis, ranking algorithms for learning purposes, and text classification.
It can be migrated between different data warehouses.
Easy parallel processing is achievable.
No special hardware is required.