trident-ml
A real-time online machine learning library built on Apache Storm for scalable stream processing with incremental algorithms.
What is trident-ml?
Trident-ML is a real-time online machine learning library built on Apache Storm's Trident framework. It enables developers to implement predictive models that learn incrementally from continuous data streams, such as sensor data, social media feeds, or transaction logs. The library provides algorithms for classification, regression, clustering, and feature preprocessing designed for low-latency, scalable stream processing.
Data engineers and machine learning practitioners building real-time predictive applications on streaming data, particularly those already using or considering Apache Storm for distributed stream processing.
Developers choose Trident-ML for its tight integration with Storm's Trident API, offering a streamlined way to embed machine learning into scalable stream topologies without batch processing. Its incremental algorithms are optimized for speed and memory efficiency, making it suitable for high-velocity data streams.
Overview
Trident-ML : A realtime online machine learning library
Use Cases
Best For
- Real-time sentiment analysis on social media streams
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