- Info
Paper draft link will be posted here
- Author
Drew Vlasnik, Ishanu Chattopadhyay
- Laboratory
The Laboratory for Zero Knowledge Discovery, The University of Chicago https://zed.uchicago.edu
- Description
Discovery of emergent anomalies in data streams without explicit prior models of correct or aberrant behavior, based on the modeling of ergodic, quasi-stationary finite valued processes as probabilistic finite state automata (PFSA).
- Documentation
Installation:
pip install patternly --user -U
Usage:
See examples.
from patternly.detection import AnomalyDetection, StreamingDetection