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Changelog

scikit-multilearn

A scikit-learn based module for multi-label et. al. classification

scikit-multilearn/scikit-multilearn·

956175PythonBSD-2-Clause

·Website

classificationclusteringlabel-predictionmachine-learningmulti-labelpartitioning+3

Last updated about 2 years ago

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NewFebruary 25, 2017

0.0.5

a general matrix-based label space clusterer has been added which can cluster the output space using any scikit-learn compatible clusterer (incl. k-means) support for more single-class and multi-class classifiers you can now use problem transformation approaches with - your favourite neural networks/deep learning libraries: theano, tensorflow, keras, scikit-neuralnetworks support for label powerset based stratified kfold added
graph-tool clusterer supports weighted graphs again and includes stochastic blockmodel calibration
bugs were fixed in: classifier chains and hierarchical neuro fuzzy clasifiers

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