Relief.jl provides implementations of various Relief-based feature selection algorithms in Julia. These include:
- Relief
- ReliefF
- ReliefSeq
- ReliefMSS
- SURF
- SURFstar
- MultiSURF
- MultiSURF*
- SWRF*
- BoostedSURF
- Iterative Relief
- IRelief
- Evaporative Cooling ReliefF
- VLSRelief
- TuRF
The documentation and references can be viewed in help mode:
julia> using Relief
help?> swrfstar
search: swrfstar
swrfstar(data::Array{<:Real,2}, target::Array{<:Integer, 1}, m::Signed=-1,
dist_func::Any=(e1, e2) -> sum(abs.(e1 .- e2), dims=2);
f_type::String="continuous")::Array{Float64,1}
Compute feature weights using SWRF* algorithm. The f_type argument specifies whether the features are continuous or discrete and can either have the value of "continuous" or "discrete".
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Reference:
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• Matthew E. Stokes and Shyam Visweswaran.
Application of a spatially-weighted Relief algorithm for ranking genetic predictors of disease. BioData mining, 5(1):20–20, Dec 2012. 23198930[pmid].Online documentation will be provided soon.