LFSpy: A Python Implementation of Local Feature Selection for Data Classification with scikit-learn Compatibility

Python Submitted 12 December 2019Published 10 May 2020
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Editor: @dfm (all papers)
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Authors

Kiret Dhindsa (0000-0003-4849-732X), Oliver Cook (0000-0002-5511-094X), Thomas Mudway (0000-0001-6213-2111), Areeb Khawaja (0000-0003-4528-9146), Ron Harwood (0000-0002-7922-0641), Ranil Sonnadara (0000-0001-8318-5714)

Citation

Dhindsa et al., (2020). LFSpy: A Python Implementation of Local Feature Selection for Data Classification with scikit-learn Compatibility. Journal of Open Source Software, 5(49), 1958, https://doi.org/10.21105/joss.01958

@article{Dhindsa2020, doi = {10.21105/joss.01958}, url = {https://doi.org/10.21105/joss.01958}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {49}, pages = {1958}, author = {Kiret Dhindsa and Oliver Cook and Thomas Mudway and Areeb Khawaja and Ron Harwood and Ranil Sonnadara}, title = {``LFSpy``: A Python Implementation of Local Feature Selection for Data Classification with ``scikit-learn`` Compatibility}, journal = {Journal of Open Source Software} }
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Machine Learning Feature Selection Classification Data Science

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