PyHubs

Hubness-aware machine learning in Python

Brought to you by: chrisbuza

Downloads: 0 This Week

Last Update: 2020-03-25

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PyHubs is a machine learning library developed in Python containing implementations of hubness-aware machine learning algorithms together with some useful tools for machine learning experiments.

According to our recent observation, old versions of PyHubs (such as 1.2.1) does not provide correct results with new versions of numpy (such as 1.16), however, we think that the most recent version of PyHubs (1.3) works correctly with new versions of numpy as well.

Features

hubness-aware classifiers (HWKNN, HIKNN, HFNN, NHBNN)
hubness-aware regression techniques
semi-supervised classification (self-training, SUCCESS)
evaluation of classification and regression techniques (support for popular experimental protocols and evaluation metrics)
time-series classification
we used PyHubs in various research project (prediction of drug-target interactions, person identification)

Project Samples

Using PyHubs in Jupyter Notebook

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Registered

2016-10-29

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