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Hi,
The example on the LIBSVM.jl webpage gives some errors on my system.
LIBSVM v0.4.0 Julia 1.3.1
julia> labels = convert(Vector, iris[:Species]) ┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead. │ caller = top-level scope at REPL[9]:1 └ @ Core REPL[9]:1 150-element Array{CategoricalString{UInt8},1}: "setosa" "setosa" "setosa" ⋮ "virginica" "virginica" "virginica" julia> instances = convert(Array, iris[:, 1:4])' 4×150 LinearAlgebra.Adjoint{Float64,Array{Float64,2}}: 5.1 4.9 4.7 4.6 5.0 5.4 4.6 5.0 4.4 4.9 … 6.9 5.8 6.8 6.7 6.7 6.3 6.5 6.2 5.9 3.5 3.0 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 3.1 2.7 3.2 3.3 3.0 2.5 3.0 3.4 3.0 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 5.1 5.1 5.9 5.7 5.2 5.0 5.2 5.4 5.1 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 2.3 1.9 2.3 2.5 2.3 1.9 2.0 2.3 1.8 julia> model = svmtrain(instances[:, 1:2:end], labels[1:2:end]); ERROR: MethodError: no method matching LIBSVM.SupportVectors(::Int32, ::Array{Int32,1}, ::CategoricalArray{String,1,UInt8,String,CategoricalString{UInt8},Union{}}, ::Array{Float64,2}, ::Array{Int32,1}, ::Array{LIBSVM.SVMNode,1}) Closest candidates are: LIBSVM.SupportVectors(::Int32, ::Array{Int32,1}, ::Array{T,1}, ::AbstractArray{U,2}, ::Array{Int32,1}, ::Array{LIBSVM.SVMNode,1}) where {T, U} at /home/fred/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:18 LIBSVM.SupportVectors(::LIBSVM.SVMModel, ::Any, ::Any) at /home/fred/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:27
The text was updated successfully, but these errors were encountered:
Same issue today with a clean package install.
Sorry, something went wrong.
Update the usage in README. (#58)
aa9eb0b
Update the usage in README. Closes #50. Closes #55. Closes #57.
Successfully merging a pull request may close this issue.
Hi,
The example on the LIBSVM.jl webpage gives some errors on my system.
LIBSVM v0.4.0
Julia 1.3.1
The text was updated successfully, but these errors were encountered: