Perpetual ML

Perpetual ML is a powerful machine learning suite that accelerates model training by over 100x, making it ideal for modern data warehouses. It offers a low-code/no-code interface, eliminating the need for specialized hardware and hyperparameter optimization. The tool supports various ML tasks and is scalable, explainable, and portable across different data warehouses.

What is Perpetual ML?

Perpetual ML is a machine learning suite designed to accelerate model training by over 100x for modern data warehouses. It eliminates the need for hyperparameter optimization, offering a scalable, explainable, and low-code/no-code solution for businesses. The tool supports various ML tasks, including tabular classification, regression, time series, learning to rank, and text classification, and is currently available for Snowflake with plans for Databricks and other data warehouses.

Use Cases

• Accelerate model training in data warehouses
• Improve ML workflow efficiency
• Monitor models and detect distribution shift
• Deploy ML models without specialized hardware

Core Benefits

• Significant speedup in model training
• Eliminates hyperparameter optimization
• Low-code/no-code interface
• Scalable and explainable solutions
• No need for specialized hardware
• Portable across data warehouses

Key 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 various ML tasks
• Portable across data warehouses
• Effortless parallelism
• No specialized hardware required

How to Use

1. 1
   Contact Perpetual ML for a free trial
2. 2
   Access the low-code/no-code interface
3. 3
   Select the desired ML task
4. 4
   Train models with accelerated performance
5. 5
   Monitor and deploy models as needed

Frequently Asked Questions

Pros & Cons (Reserved)

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