A tool for detecting anomalies in time series data
Project description
- Info:
Paper draft link will be posted here
- Author:
ZeD@UChicago <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/patternly/detection.html
Installation:
Usage:
See examples.
from patternly.detection import AnomalyDetectionRelease history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
patternly-0.0.4.tar.gz
(5.9 kB
view details)
Built Distribution
patternly-0.0.4-py3-none-any.whl
(10.8 kB
view details)
File details
Details for the file patternly-0.0.4.tar.gz.
File metadata
- Download URL: patternly-0.0.4.tar.gz
- Upload date:
- Size: 5.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4f3079398f697dcb3d83570a9fb5d788014e4bf37aa200371261341fc6aff2ff |
|
| MD5 | f6255c8f09fe4dea7de421136ad25ab2 |
|
| BLAKE2b-256 | 4bbee5f47778e9de6f1093943908c3f3e6f5c9f1ad383568edf201eb4e757aea |
File details
Details for the file patternly-0.0.4-py3-none-any.whl.
File metadata
- Download URL: patternly-0.0.4-py3-none-any.whl
- Upload date:
- Size: 10.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f13058f9fa229d20be5b3cc544e976b3cb9907057d562533dbad2d49cd5ef87d |
|
| MD5 | 56696b7225761f8d392f7feeaaf876d1 |
|
| BLAKE2b-256 | bba184d5ab3f9477fa8b3c121944d435e53236194595a4e9faa660d7e0be8c3f |
