Karim-53/pdll
Pairwise Difference Learning (PDL) is a meta-learning framework that leverages pairwise differences to transform multiclass problems into binary tasks. This repository includes the original PDL Classifier implementation, along with extended versions for regression and weighted learning scenarios.
This tool helps data scientists and machine learning practitioners handle classification problems where they need to sort data into three or more categories. It takes your existing data and a standard classification model, then outputs more accurate predictions for which category new data belongs to. The end user is typically a data scientist, machine learning engineer, or researcher working with complex datasets.
No commits in the last 6 months. Available on PyPI.
Use this if you are struggling with a multi-class classification problem and want to improve the accuracy of your existing machine learning models.
Not ideal if your problem only involves two categories (binary classification) or if you are looking for a standalone model rather than an enhancement for existing ones.
Stars
22
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 27, 2025
Commits (30d)
0
Dependencies
4
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