https://github.com/bcbi/classimbalance.jl

Sampling-based methods for correcting for class imbalance in two-category classification problems
https://github.com/bcbi/classimbalance.jl

class imbalance rose smote

Last synced: 19 days ago
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Sampling-based methods for correcting for class imbalance in two-category classification problems

• Host: GitHub
• URL: https://github.com/bcbi/classimbalance.jl
• Owner: bcbi
• License: other
• Created: 2017-07-25T13:05:06.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2023-04-29T02:32:40.000Z (almost 2 years ago)
• Last Synced: 2025-01-20T16:59:11.654Z (about 1 month ago)
• Topics: class, imbalance, rose, smote
• Language: Julia
• Homepage:
• Size: 146 KB
• Stars: 11
• Watchers: 6
• Forks: 9
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md
  • Code of conduct: CODE_OF_CONDUCT.md
  • Codeowners: CODEOWNERS

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README

        
# ClassImbalance.jl

































## Description

This is a package that implements some sampling-based methods of correcting for class imbalance in two-category classification problems. Portions of the SMOTE and ROSE algorithm are adaptations of the excellent R packages DMwR and ROSE.

## Installation

To install ClassImbalance, open Julia and run the following two lines:

```julia

import Pkg

Pkg.add("ClassImbalance")

```

## SMOTE Example

```julia

import ClassImbalance;

y = vcat(ones(20), zeros(180)); # 0 = majority, 1 = minority

X = hcat(rand(200, 10), y);

X2, y2 = smote(X, y, k = 5, pct_under = 100, pct_over = 200)

```