Package to easily detect or remove potential outliers
Project description
Outliers
Package for easy to use outlier detection and removal using robust random cuts forest. RRCF implementation is based on https://github.com/kLabUM/rrcf.
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
ioutliers-0.1.1.tar.gz
(2.4 kB
view details)
Built Distribution
File details
Details for the file ioutliers-0.1.1.tar.gz.
File metadata
- Download URL: ioutliers-0.1.1.tar.gz
- Upload date:
- Size: 2.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.18.4 setuptools/51.3.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1ebd914c95a0906bc7d002f5829ab3067c9b17ef1b375e932e97b3c73c940fbc |
|
| MD5 | 1f6ca51bf781b29ab93cbb41691ff88d |
|
| BLAKE2b-256 | 61e0893854a1b6365ffa9013b2c899425f461f9ac0cf9b5dae482510bc4e6893 |
Provenance
File details
Details for the file ioutliers-0.1.1-py3-none-any.whl.
File metadata
- Download URL: ioutliers-0.1.1-py3-none-any.whl
- Upload date:
- Size: 3.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.18.4 setuptools/51.3.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 92be3f0ccbe7fe8dd315552faea3c566a72905db4768bd5175a37d2f3a2e7628 |
|
| MD5 | 1c0d8ab1e727d02c3e1aa927d41c16c2 |
|
| BLAKE2b-256 | 93fc303f4e7402bbd8ba5681bbe2d1cb4d9936b4c179d8837e009b6c9459d01e |
