A package for Applicability Domain methods (KNN, LOF, OCSVM, iForest)
Project description
appdomain
A Python package implementing various Applicability Domain (AD) methods such as kNN, LOF, OneClassSVM, and ensemble consensus for outlier detection.
Installation
pip install .
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
appdomain-0.1.1.tar.gz
(4.2 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
File details
Details for the file appdomain-0.1.1.tar.gz.
File metadata
- Download URL: appdomain-0.1.1.tar.gz
- Upload date:
- Size: 4.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9de9245b03f4465288a356cecf4346878a72da13773697faecdf34f9a14a4c19
|
|
| MD5 |
e73dbc56049ce5fb19e4992d8c353a8c
|
|
| BLAKE2b-256 |
d2e7b1922dca7419e3d07eb28c3f634df188bd5c7326ea9cbe8cf03f33f81eda
|
File details
Details for the file appdomain-0.1.1-py3-none-any.whl.
File metadata
- Download URL: appdomain-0.1.1-py3-none-any.whl
- Upload date:
- Size: 5.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e6cfaeaeba82ded145b5b33290a368a0d65f9f696413e57302137e66703f6c30
|
|
| MD5 |
80042b8744bba8d349f15ff9d19f3fcf
|
|
| BLAKE2b-256 |
6dac1ba307a9cf6386d7e90d5112f67b8b998c5f91343ae7ea5d14d59da712c5
|
