Project description

Outliers

Package for easy to use outlier detection and removal using robust random cuts forest.

These details have not been verified by PyPI

This version

0.0.1

Dec 6, 2021

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Dec 6, 2021 Source

Uploaded Dec 6, 2021 Python 3

Hashes for ioutliersPRO-0.0.1.tar.gz
Algorithm	Hash digest
SHA256	`5a050c6aa795aa79afccbd34a52aac6a792178561a1c3d59345496769bbc195f`
MD5	`359a6491239343e77f54c56b9e58045c`
BLAKE2b-256	`ab31ba9059fc0ebffb8ce152a7a4fae61d5014800d21f570997b38e56f533c82`

Hashes for ioutliersPRO-0.0.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`8b418a55960c1853fbf0f321bf919d30353f90c2fd63ce533b204cd52da13835`
MD5	`23cd41a82adc0ea7aee363030dc0b7fe`
BLAKE2b-256	`2b9557dbb1e5fc106bda7e1d923dd517bf74cedb3151a05ecff8538541d5c926`