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I ran the Iris example on the GitHub page using Julia 1.4.1 (run from Atom on Ubuntu) and got :
ERROR: MethodError: no method matching LIBSVM.SupportVectors(::Int32, ::Array{Int32,1}, ::CategoricalArray{String,1,UInt8,String,CategoricalValue{String,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/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:18
LIBSVM.SupportVectors(::LIBSVM.SVMModel, ::Any, ::Any) at /home/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:27
Stacktrace:
[1] LIBSVM.SupportVectors(::LIBSVM.SVMModel, ::CategoricalArray{String,1,UInt8,String,CategoricalValue{String,UInt8},Union{}}, ::Array{Float64,2}) at /home/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:40
[2] LIBSVM.SVM(::LIBSVM.SVMModel, ::CategoricalArray{String,1,UInt8,String,CategoricalValue{String,UInt8},Union{}}, ::Array{Float64,2}, ::Nothing, ::Array{CategoricalValue{String,UInt8},1}, ::Type{T} where T, ::LIBSVM.Kernel.KERNEL) at /home/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:73
[3] svmtrain(::Array{Float64,2}, ::CategoricalArray{String,1,UInt8,String,CategoricalValue{String,UInt8},Union{}}; svmtype::Type{T} where T, kernel::LIBSVM.Kernel.KERNEL, degree::Int64, gamma::Float64, coef0::Float64, cost::Float64, nu::Float64, epsilon::Float64, tolerance::Float64, shrinking::Bool, probability::Bool, weights::Nothing, cachesize::Float64, verbose::Bool, nt::Int64) at /home/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:386
[4] svmtrain(::Array{Float64,2}, ::CategoricalArray{String,1,UInt8,String,CategoricalValue{String,UInt8},Union{}}) at /home/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:347
[5] top-level scope at /home/benny/.julia/scripts/10_06_2020/15_06_2020.jl:80
The text was updated successfully, but these errors were encountered:
I ran the Iris example on the GitHub page using Julia 1.4.1 (run from Atom on Ubuntu) and got :
ERROR: MethodError: no method matching LIBSVM.SupportVectors(::Int32, ::Array{Int32,1}, ::CategoricalArray{String,1,UInt8,String,CategoricalValue{String,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/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:18
LIBSVM.SupportVectors(::LIBSVM.SVMModel, ::Any, ::Any) at /home/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:27
Stacktrace:
[1] LIBSVM.SupportVectors(::LIBSVM.SVMModel, ::CategoricalArray{String,1,UInt8,String,CategoricalValue{String,UInt8},Union{}}, ::Array{Float64,2}) at /home/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:40
[2] LIBSVM.SVM(::LIBSVM.SVMModel, ::CategoricalArray{String,1,UInt8,String,CategoricalValue{String,UInt8},Union{}}, ::Array{Float64,2}, ::Nothing, ::Array{CategoricalValue{String,UInt8},1}, ::Type{T} where T, ::LIBSVM.Kernel.KERNEL) at /home/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:73
[3] svmtrain(::Array{Float64,2}, ::CategoricalArray{String,1,UInt8,String,CategoricalValue{String,UInt8},Union{}}; svmtype::Type{T} where T, kernel::LIBSVM.Kernel.KERNEL, degree::Int64, gamma::Float64, coef0::Float64, cost::Float64, nu::Float64, epsilon::Float64, tolerance::Float64, shrinking::Bool, probability::Bool, weights::Nothing, cachesize::Float64, verbose::Bool, nt::Int64) at /home/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:386
[4] svmtrain(::Array{Float64,2}, ::CategoricalArray{String,1,UInt8,String,CategoricalValue{String,UInt8},Union{}}) at /home/benny/.julia/packages/LIBSVM/5Z99T/src/LIBSVM.jl:347
[5] top-level scope at /home/benny/.julia/scripts/10_06_2020/15_06_2020.jl:80
The text was updated successfully, but these errors were encountered: