Empirical Christoffel function for anomaly detection
This python module is an free and open source implementation of the empirical Christoffel function applied to outlier detection as proposed by Lasserre and Pauwels in The empirical Christoffel function with applications in data analysis.
Setup
This package is available on PyPI. If you use pip, simply execute:
python3 -m pip install --user ecf
Acknowledgements
I would like to thank Jean-Bernard Lasserre, Edouard Pauwels and Cyrius Nugier for their help in understanding and implementing this anomaly detector.
Metadata
Release files for ecf 0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ecf-0.2.tar.gz | 5.6 kB | Details |
Release files / ecf-0.2.tar.gz
| Download URL | ecf-0.2.tar.gz |
|---|---|
| Size | 5.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
13578a80c3582a13b72d1249f3880eaab215ee891464aad8b8a64b03a476316d
|
|
BLAKE2b-256 checksum How to use checksums |
128c6199f0583e2e6a778a9bf6df0f2a1832694244e546e067e365483a394d29
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.0 requests/2.23.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.6
|