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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)
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