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-0.1.5.tar.gz
(85.6 kB
view details)
Built Distribution
adbench-0.1.5-py3-none-any.whl
(130.8 kB
view details)
File details
Details for the file adbench-0.1.5.tar.gz
.
File metadata
- Download URL: adbench-0.1.5.tar.gz
- Upload date:
- Size: 85.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5ed48ac90673704c4f755d695c1a37e800e99b0112851d4b343494ae745f0e83 |
|
MD5 | f1eee642348b21d36813a7b267792583 |
|
BLAKE2b-256 | 5d00ef26fcb8f9e7e192222a460842cc9baeba607ed07d9df49a2b54f4f87639 |
File details
Details for the file adbench-0.1.5-py3-none-any.whl
.
File metadata
- Download URL: adbench-0.1.5-py3-none-any.whl
- Upload date:
- Size: 130.8 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 | cfde076450f77915ce48736b139aee625ce1658e1440f35ad4392a3b0d94ec49 |
|
MD5 | ea3b4c0153a803c597f07b862bb899df |
|
BLAKE2b-256 | a6d9019b7ce9eb75f8394f31406934670103a4b1d53d75f9998df75a9b8a00dc |