About This Site
Perpetual ML: 100x faster ML suite for modern data warehouses. 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.
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Key Features AI
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
Advantages
Significant speedup in model training
Low-code/no-code interface
Scalable and explainable ML solutions
Portable across different data warehouses
No need for specialized hardware
Built-in generalization algorithm eliminates hyperparameter optimization
缺点：Currently focused on Snowflake, with Databricks and other data warehouses coming later
缺点：Pricing details require contacting the company
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