CapyMOA
What it is
CapyMOA is a Python library for efficient machine learning on data streams, providing tools for classification, regression, clustering, and drift detection. It allows users to load streaming datasets, define models, and run prequential evaluations using a standard Python API.
The problem it solves
Existing Python libraries for data stream mining often lack the performance of dedicated tools, while high-performance tools like MOA lack the flexibility and ecosystem integration of Python.
What you could use it for
- Real-time anomaly detection in sensor data
- Online classification of streaming text or network traffic
- Drift detection in financial time series
- Online continual learning for adaptive systems
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.