Robust scaling for numeric data with outliers

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for pedro-r-dias from gravatar.com pedro-r-dias

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: pedro-r-dias
  • Requires: Python >=3.7
Classifiers

Project description

This scaler preserves outliers found in the unscaled data as outliers also in the scaled data, but transforms them to an acceptable proximity in relation to the higher density region of the scaled distribution.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for pedro-r-dias from gravatar.com pedro-r-dias

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: pedro-r-dias
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.1.1

0.1.0

This version

0.0.1

Download files

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

Source Distribution

robout-0.0.1.tar.gz (5.5 kB view hashes)

Uploaded Source

Built Distribution

robout-0.0.1-py3-none-any.whl (4.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page