Personal
Project description
Fast Anomalies Detection in Data Stream - FADIDS
Library including some anomaly detection models
- MeanDeviationAD
- SpectralResidualAD
- HSTreesAD
- RrcfAD
- IforestASD
Tools :
- Stream simulator
Installation
pip install bash
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fadids-0.31.tar.gz
(6.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
fadids-0.31-py3-none-any.whl
(8.6 kB
view details)
File details
Details for the file fadids-0.31.tar.gz.
File metadata
- Download URL: fadids-0.31.tar.gz
- Upload date:
- Size: 6.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5630175ed09c1a22dfbae31d9c8c81ec670a57ec45d29bd7d88266213f433b7b
|
|
| MD5 |
57c3774330862dddb54743df9ed00c78
|
|
| BLAKE2b-256 |
b253543f5881823cf02f8591b74c43d894ad6c3a6c551fa76da14e08896b3f2a
|
File details
Details for the file fadids-0.31-py3-none-any.whl.
File metadata
- Download URL: fadids-0.31-py3-none-any.whl
- Upload date:
- Size: 8.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
08ba5bf6838d38aef32c18cb8eddc5690785c84357deedbbb8004fa8d5231e16
|
|
| MD5 |
08b7967841a7f75a7e8805064a64f6c9
|
|
| BLAKE2b-256 |
2c05ae730861d1936de9b52126d7869095ce7bd2d2795726e4e455366822690a
|