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-0.1.2.tar.gz
(84.8 kB
view details)
Built Distribution
adbench-0.1.2-py3-none-any.whl
(129.2 kB
view details)
File details
Details for the file adbench-0.1.2.tar.gz
.
File metadata
- Download URL: adbench-0.1.2.tar.gz
- Upload date:
- Size: 84.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 13c8027e8ecd42928be317f08d277c4f1d8d8e02f354edadb748c4714d94c3fb |
|
MD5 | 41ae34d969fd23bfbd5cff85ecd63094 |
|
BLAKE2b-256 | 5dec43506271010ad342554dbb2f40d66950127d52e7cb4ca5df04c3e6e7f6be |
File details
Details for the file adbench-0.1.2-py3-none-any.whl
.
File metadata
- Download URL: adbench-0.1.2-py3-none-any.whl
- Upload date:
- Size: 129.2 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 | d677ecb593a1af3083829c1205114d860ba23bbef16436b51ebc404d667ebf94 |
|
MD5 | dccd33f293d06b43fc957ebb3f4f18d2 |
|
BLAKE2b-256 | f88ae2c487235f001b7bfe2206f164ca6618c03cfbc457736902051ff98673e4 |