Python package of ADBench
Project description
Python package of ADBench: Anomaly detection benchmark. Fast implementation of the large experiments in ADBench and your customized AD algorithm.
Project details
Release 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
adbench-0.1.4.tar.gz
(85.2 kB
view details)
Built Distribution
adbench-0.1.4-py3-none-any.whl
(130.5 kB
view details)
File details
Details for the file adbench-0.1.4.tar.gz
.
File metadata
- Download URL: adbench-0.1.4.tar.gz
- Upload date:
- Size: 85.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dface6eed47fb52467e806a9ca92618d6f974a26caa37443cb9573e7f9bdb2c1 |
|
MD5 | 7f76042e5d02d8a4cdfb6fbad0b909d5 |
|
BLAKE2b-256 | b3db10f1d3d5028bfe1ba23a7da4b823c78de261fac91a2eeb9959b79ec4588a |
File details
Details for the file adbench-0.1.4-py3-none-any.whl
.
File metadata
- Download URL: adbench-0.1.4-py3-none-any.whl
- Upload date:
- Size: 130.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1360c417b33522cd7916b33647faa84456039269bc01095db7f97f78dfbc44b7 |
|
MD5 | a240ffdbd39039b3b9041274b97258b5 |
|
BLAKE2b-256 | 0e624a7113256d55f076f255c69fbf8c3ecdd27156786701a85f4d864e9fbaef |