Imbalanced-learn (imported as imblearn) is an open source, MIT-licensed library relying on scikit-learn (imported as sklearn) and provides tools when dealing with classification with imbalanced classes.

Features

  • API documentation
  • Examples available
  • Testing available
  • Documentation available
  • MIT-licensed library
  • Tools when dealing with classification with imbalanced classes

Project Samples

Project Activity

See All Activity >

Categories

Machine Learning

License

MIT License

Follow imbalanced-learn

imbalanced-learn Web Site

Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of imbalanced-learn!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-07-31