| 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: | https://zeroknowledgediscovery.github.io/patternly |
Installation:
pip install patternly --user -U
Usage:
See examples.
from patternly.detection import AnomalyDetection, StreamingDetection