Skip to main content

Transform features by scaling each feature to a given range.

Project description


A package that can transform features by scaling each feature to a given range. The input should be (input list, new minimum value, new maximum value). This is more light weight and easy to use than sklearn.preprocessing.MinMaxScaler. This package can simply and quickly rescale each element of the input list into a new value within the range, and generate a new list.



  • input_list A list.
  • newmin The minimum value of the new scale.
  • newmax The maximum value of the new scale.

Project details

Download files

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

Files for rescaler, version 0.0.3
Filename, size File type Python version Upload date Hashes
Filename, size rescaler-0.0.3.tar.gz (1.6 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page