What is Perpetual ML?
Perpetual ML Suite is a revolutionary machine learning platform that delivers unprecedented speed and efficiency for businesses utilizing modern data warehouses. The platform's standout feature is its PerpetualBooster technology, which achieves 100x faster initial training through an innovative generalization algorithm that eliminates the need for hyperparameter optimization.
The suite offers comprehensive functionality including continual learning capabilities, advanced geographic data processing, and built-in state-of-the-art Conformal Prediction algorithms for better confidence intervals. Operating without specialized hardware requirements, it provides seamless model monitoring, effortless parallelism, and supports various ML tasks including tabular classification, regression, time series analysis, and text classification.
Features
- PerpetualBooster: 100x faster initial training with built-in generalization algorithm
- Continual Learning: Continuous model training without starting from scratch
- Conformal Prediction: Advanced algorithms for better confidence intervals
- Geographic Learning: Enhanced processing of geographic data
- Model Monitoring: Built-in monitoring and distribution shift detection
- Hardware Flexibility: No specialized hardware requirements
- Multi-task Support: Handles classification, regression, time series, and text classification
- Effortless Parallelism: Superior computational performance and resource efficiency
Use Cases
- Data warehouse machine learning optimization
- Continuous model training and updating
- Geographic data analysis
- Time series prediction
- Text classification using embeddings
- Model performance monitoring
- Resource-efficient ML deployment
FAQs
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What types of ML tasks does Perpetual ML support?
Perpetual ML supports tabular classification, regression, time series, learning to rank tasks, and text classification using embeddings. -
Which data warehouse platforms are supported?
Currently, it is being developed for Snowflake, with plans to expand to Databricks and other data warehouses in the future. -
Do I need specialized hardware like GPUs to run Perpetual ML?
No, Perpetual ML does not require specialized hardware like GPU or TPU, allowing you to leverage your current hardware and software infrastructure.
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Perpetual ML Uptime Monitor
Average Uptime
99.93%
Average Response Time
147.93 ms
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