diversity-measures

A Python library for dynamic classifier and ensemble selection

Diversity / (dis)proportionality measures, election quotas, and apportionment methods in pure Python.

Small collection of Diversity Measures for Ensemble Learning Predictions

The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.

Implementation of Spotify's Generalist-Specialist score on the MovieLens dataset.

Experiment on the pruning of pool of classifiers

An extensible tool to automate test case diversity calculations

The implementation of the Diversity Pool algorithm, proposed in the paper "Diversity-Based Pool of Models for Dealing with Recurring Concepts" and presented at IJCNN '18

Calculating functional molecular diversity of marine dissolved organic matter in MATLAB